Senior Applied Scientist, Sales Insights Analytics and Data Science (SIADS) (Seattle)

Amazon Web Services (AWS) provides companies of all sizes with an infrastructure web services platform in the cloud. With AWS you can requisition compute power, storage, and many other services, gaining access to a suite of elastic IT infrastructure services as your business demands them. AWS is the leading platform for designing and developing applications for the cloud and is growing rapidly, with hundreds of thousands of companies in over 190 countries on the platform. Key job responsibilities Own the full lifecycle of complex science problems: problem framing, data exploration, method selection, modeling, evaluation, and production deployment. Set technical direction on ambiguous problems and make the design decisions that others build on. Partner with business stakeholders across Sales to turn open-ended business questions into well-scoped science, and translate results into recommendations leaders act on. Raise the scientific bar across the team through design reviews, mentorship, and hands-on guidance. Communicate methods, trade-offs, and results clearly to both technical and non-technical audiences. Use Python, PySpark, and SQL for data analysis and model development. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empowers us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity, inclusion) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. Basic Qualifications: PhD, or Master's degree and 6 years of building machine learning models for business application experience Experience with SQL and Python scripting Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders Experience managing and deploying ML products Preferred Qualifications: Experience working with stakeholders, or experience using financial models, KPIs, and data analysis to inform business decisions with proven business impact (e.g., financial savings, operational improvements, or customer benefits) PhD or equivalent research experience, or a Master's degree and experience in patents or publications at top-tier peer-reviewed conferences or journals Depth in large language models and agentic system Experience mentoring or developing other scientists. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually J-18808-Ljbffr

Director, Investor Relations (San Francisco)

Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you’ll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you’ll be contributing to building the technology that powers the future. About the Role Nscale is seeking an experienced and strategic Director of Investor Relations to advance our investor narrative and build strong relationships with the Wall Street community at an important stage of growth. Reporting to the Senior Vice President of Investor Relations, you’ll be a senior member of the IR team and a close thought partner to the SVP. You’ll also partner with the CEO, CFO, and teams across Finance, Legal, Communications, Infrastructure, and Marketing to ensure consistent, accurate external messaging. This is a hands‑on role for someone who can translate complex financial, strategic, and technical information into clear, credible investor communications. You’ll combine rigorous analysis with senior‑level investor dialogue, helping shape IR strategy while owning day‑to‑day execution across earnings preparation, investor meetings, Q&A development, presentations, and ongoing analyst engagement. What you'll be doing Partner closely with the SVP of Investor Relations on investor messaging, engagement strategy, market expectations, and public‑company readiness. Articulate Nscale’s investment thesis to Wall Street stakeholders, connecting our technology, market opportunity, competitive positioning, business model, and long‑term value creation potential. Develop investor presentations, management talking points, Q&A materials, financial narratives, and other investor‑facing communications. Support earnings preparation and broader investor communications activity. Investment Community Engagement Build trusted relationships with institutional investors, sell‑side analysts, and other members of the capital markets community. Participate in and, as appropriate, independently manage investor meetings, conferences, investor education, and other external engagement. Prepare the SVP, CEO, CFO, and other senior leaders for investor interactions, including key messages, anticipated questions, and investor context. Maintain ongoing engagement with investors and analysts. Financial, Valuation & Market Analysis Build and maintain financial, valuation, peer, and competitive analyses to inform investor positioning and management decision‑making. Assess how public‑market investors are likely to evaluate the business, including its growth, margins, capital intensity, KPIs, valuation, and key risks. Translate detailed financial and technical analysis into a clear, well‑informed view of the company’s investment case. Internal Stakeholder Engagement Bring a sophisticated public‑markets perspective to internal discussions, helping leadership understand how investors and analysts are likely to evaluate the company and its strategic decisions. Synthesize investor and analyst feedback and provide actionable insights to the SVP and senior leadership. Partner cross‑functionally with Finance, Legal, Communications, Infrastructure, Marketing, and other teams to ensure consistent and accurate external messaging. Assist in preparing board updates on IR strategy and progress. About You 10 years of relevant professional experience across investor relations, equity research, investment banking, corporate finance, or related capital markets roles. Significant in‑house investor relations experience, alongside prior Wall Street or public‑markets experience, ideally in equity research or investment banking. Meaningful experience working with senior investors and executives. Experience in technology, AI, cloud infrastructure, data centers, semiconductors, networking, software, or adjacent sectors is strongly preferred. Strong financial and analytical capabilities, including the ability to build and interpret financial and valuation models and develop a clear view of a company’s investment case. Excellent written and verbal communication skills, with the ability to translate complex technical and financial topics into clear, credible, and compelling investor messaging. Strong judgment, intellectual curiosity, attention to detail, and executive presence. Ability to operate effectively in a fast‑moving, highly confidential environment and independently own important workstreams while partnering closely with the SVP of Investor Relations. Experience applying AI technologies to enhance productivity and the value delivered by an IR program would be an additional benefit. What we can offer you At Nscale, you'll find a collaborative, supportive, and innovative environment where your contributions spark real impact. We're building something extraordinary, and we want you at the core. Highly competitive US compensation package (base bonus equity), with performance reviews every 12 months. Join one of the fastest‑growing AI infrastructure companies — your chance to directly shape how global AI capacity is planned and deployed. Expect a dynamic progression plan tailored to your ambitions. Grow by leading critical cross‑functional initiatives and shaping capital strategy — always with our full support. Human‑First Flexibility: We treat you as humans first. Our flexible workplace trusts Nscalers to deliver, giving you the autonomy to shape your day around life's moments. We strongly encourage applications from people of colour, the LGBTQ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio‑economic backgrounds. If there's anything we can do to accommodate your specific situation, please let us know. The responsibilities outlined in this job description are not exhaustive and are intended to provide a general overview of the position. The employee may be required to perform additional duties, tasks, and responsibilities as assigned by management, consistent with the skills and qualifications required for the role. The range below reflects the base salary for the position. Actual compensation may vary based on job‑related factors such as skill set, experience, education, and location. In addition to base salary, this role may be eligible for bonus, equity, and/or commission programs. Nscale may offer a competitive benefits package including medical, dental, vision, flexible paid time off, parental leave, and retirement plan participation. Salary Range $200,000 - $350,000 USD For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice:Here. J-18808-Ljbffr

Director, AI Enablement & Security (Northern)

Bloomreach is building the world’s premier agentic platform for personalization. We’re revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey. We’re taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses. We’re making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise — available on demand, at every touchpoint in their journey. We’re designing the future of autonomous marketing, taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do. And we’re building all of that on the intelligence of a single AI engine — Loomi — so that personalization isn’t only autonomous…it’s also consistent. From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora. About the Role: As Bloomreach pioneers the future of AI-driven e-commerce, driving safe, efficient, and rapid AI adoption across our entire global enterprise is paramount. We are seeking a Director, AI Enablement & Security to join our Global Information Security and Technology (GIST) leadership team. This is a high-visibility leadership role demanding a rare blend of strategic business acumen and deep engineering leadership. Your primary mandate is to maximize Bloomreach's organizational velocity through AI adoption, while ensuring the necessary security controls, financial oversight, and compliance guardrails remain firmly in place. You will directly manage and scale high-performing teams of AI, IT, and Security engineers who build the core infrastructure, making enterprise AI adoption possible. Serving as the central operational bridge across all departments - from Go-To-Market (GTM) and Product/R&D to HR, Finance, and Legal - you will work hand-in-hand with our GRC team, Legal, and the Data Protection Officer (DPO) to deliver frictionless, secure technical enablement. Key Responsibilities: Cross-Departmental AI Strategy & Enablement Enterprise AI Catalyst: Partner with leadership across all business units (Marketing, Sales, Customer Success, HR, Product) to identify, prioritize, and safely accelerate AI use cases that drive productivity and operational velocity. AI Governance Committee: Chair or co-lead a cross-functional AI Governance Committee to align product, corporate, legal, and financial stakeholders on global AI initiatives. Culture & Literacy Strategy: Design and champion a company-wide AI readiness and safety education strategy to raise the technical and risk-awareness baseline across Bloomreach. Leadership & People Management Scale Multi-Disciplinary Teams: Lead, mentor, and resource teams across three distinct technical domains: Information Security, IT, and AI enablement. Technical Roadmap Execution: Translate broad, cross-departmental business needs into concrete technical roadmaps for your teams, ensuring corporate infrastructure and production safety scale alongside company growth. AI Governance, Risk & FinOps Collaborative Risk Management: Partner closely with the GRC team, Legal, and the DPO to integrate AI-specific vulnerabilities and compliance requirements (e.g., EU AI Act, NIST AI RMF) into the overarching Enterprise Risk Management framework without stalling business velocity. Cross-Departmental Spend Optimization: Architect and own the enterprise AI FinOps framework alongside Finance. Direct your teams to build the technical tracking required to monitor, forecast, and optimize enterprise-wide AI spend, vendor costs, and LLM API consumption across all departments. Vendor Lifecycle Governance: Oversee the technical evaluation and continuous risk profiling for all third-party AI platforms and integrated business tools used across the company. AI Security & Infrastructure Define the AI Security Blueprint: Establish the technical security standards and risk-appetite frameworks for both internal corporate AI usage and production-grade AI features Automated Guardrails: Guide IT and Security engineers in deploying automated technical controls to prevent corporate data leakage and mitigate risks. What You Bring: The Leadership Pedigree: 10 years of experience in Information Security, IT, or Infrastructure Engineering, with 5 years of experience managing and scaling multiple teams (IT, Security, and/or AI/Software Engineering). Velocity-First Mindset: A proven track record of driving rapid technology adoption and change management across diverse business units while successfully maintaining rigorous corporate guardrails. Collaborative Diplomacy: Exceptional ability to build relationships and work seamlessly across J-18808-Ljbffr

General Manager - Airport Ground Handling (Atlanta)

Overview People. Passion. Pride. This is what has driven our teams since 1833. Job Details Since that time, we have developed to become a critical partner in the global aviation industry, delivering time-critical logistics services at over 300 locations in 65 countries, across 6 continents. But at the heart of our business is our people. Role Purpose Safety, Security, and Environmental stewardship are core values of Menzies Aviation (MA). MA has a duty of care to provide a safe workplace to our Employees; and this important responsibility ultimately falls to the General Manager. The General Manager is responsible for implementation and adherence to MA Safety, Security, Quality, and Training policies and SOPs as well as local, state, Federal regulations and all station operations, service delivery. The role requires a seasoned senior manager with a strong operational and business understanding and leadership skills. The incumbent must have the ability to run a business in a challenging environment, whilst maintaining strict Menzies Corporate Governance and Financial guidelines. Service offered at the station is Ramp Services and Passenger Service handling. What You Will Be Doing Fully responsible for the safety and well‑being of MA staff; promoting a Safety‑First culture; and managing all other aspects of running the station. Fully responsible for implementation and adherence to MA Safety, Security, Quality, and Training policies and SOPs as well as all relevant industry, local, state, and Federal regulations. Leads and collaborates with the senior team to maintain and enhance appropriate, effective safety and security systems, risk assessments, periodical inspections and audits, operational training programs, planning, operational processes, and service delivery. Participates in the development of station‑level budgets. Ensures that processes are sufficient to ensure inventory and accounting for all Company assets, consumable parts, contracted services, and vendor payments. Fully accountable for the financial performance and compliance with Corporate Governance and Legal aspects of Menzies’ businesses in the station. Regularly interacts with customers to promote the station and to measure the level of customer satisfaction. Pursues opportunities for new business and growth of existing services. Ensures the development and implementation of the station Emergency Response Plan (ERP), Emergency Action Plan (EAP), Local Contingency Plan (LCP), Business Continuity Plan (BCP), Spill Prevention, Control and Countermeasure Plan (SPCC), Facility Response Plan (FRP), Environmental Emergency Response Plan (EERP), and/or Storm Water Pollution Prevention Plan (SWPPP). Appoints a Principal Manager for all matters relating to Security at the station per the MA Security Manual (SeMS). Assigns a primary delegate ensuring compliance with the Menzies Aviation Quality Assurance Manual (QAM). Assigns a primary delegate ensuring compliance with the Menzies Aviation Environmental Management System (EMS). Ensures that processes are in place to provide for the acquisition, maintenance, and safe operation of GSE equipment and vehicles. Directs and motivates Managers to achieve agreed targets. Reviews leading and lagging indicators of Safety and Operational performance (i.e.: SMART targets, MORSE Dashboards, Audit Findings, Recordable Injuries, Training Completion Reports; Workers Compensation (WC) Rates and Costs; AC Damage Rates and Costs; GSE Damage Rates and Costs; Preventive Maintenance Completion Rates; SmartDrive Coaching Completion Rates; SmartDrive Safety Score; Delay Reports; etc.). Ensures the firm, fair, and consistent accountability for compliance with MA work rules and policies. Other duties as assigned. Safety, Security, Wellbeing And Compliance You will have a responsibility and duty whilst at work to take reasonable care of the health, safety and wellbeing of yourself and others in accordance with provided information, training, and workplace health and safety rules or procedures. The company is committed to providing a safe working environment for all staff members. In all areas of our business there is a potential risk to the health, safety and welfare to everyone on our sites through the misuse of alcohol and drugs. As such the Company prohibits such misuse and carries out regular testing to enforce our Substance Misuse Policy. What We Are Looking For Bachelor's degree (B.A.) from four‑year College or university; or five to ten years related experience and/or training; or equivalent combination of education and experience. Excellent leadership and people management skills. Experience in business development, sales, and commercial negotiation & pricing. Wide ranging general management experience, with some years of senior management experience. Extensive management and/or support service experience, preferably in Airport ground Handling environment. Strong communication and interpersonal skills balanced with a high level of confidence to influence and present at all levels. Able to influence, engage and motivate at all levels. All applicants must hold requisite employment authority to work in USA. Must be at least 18 years of age. Possess and maintain current valid driver’s license. Ability to proficiently read, write and speak English. Must be able to pass a criminal background check and obtain a US Customs access. Must be available and flexible to work variable shifts including nights, weekends, and holidays. Proficiency in desktop computing applications including (but not limited to) Microsoft suite of products including MS-Word, MS-Excel, MS-PowerPoint. Diversity Menzies Aviation are a committed equal opportunity employer and encourage applications for suitably qualified and eligible applicants regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, pregnancy, and maternity. We strive to create an inclusive working environment, where the different knowledge, perspectives, experiences, and approaches of our global workforce are represented. Where everyone feels valued and can reach their full potential. Please be aware that as part of our recruitment process, we may look to use a variety of resourcing tools to help us understand your skills and experience in relation to the role. J-18808-Ljbffr

Senior Applied Scientist, Amazon Global Data Center Ops Central Insight and Analytics Team (Seattle)

We are looking for an seasoned Applied Scientist to design, build, and deploy the ML/AI models that power our decision intelligence platform. You will work at the intersection of causal inference, time-series forecasting, anomaly detection, and LLM-based reasoning — all applied to real operational problems with measurable business impact. Key Job Responsibilities Decision Intelligence Models Causal inference & root cause analysis: Build models that decompose fleet-wide metric movements into root causes, distinguishing correlation from causation across operational dimensions (site, service, failure mode, time) Dose-response modeling: Develop models that learn the quantitative relationship between intervention intensity and outcome magnitude Forecasting & projection: Build time-series models that project metric trajectories under different intervention scenarios, enabling if we do X, expect Y by date Z recommendations Anomaly detection & trend identification: Develop multi-variate anomaly detection that distinguishes signal from noise in noisy operational data, and identifies emerging patterns before they become crises Confidence calibration: Build and maintain calibrated confidence scores for recommendations, ensuring the system knows what it knows and what it doesn't Outcome attribution: Design experiments and causal methods to measure the true impact of interventions LLM Integration & Reasoning Structured reasoning: Design LLM prompting architectures that reliably transform operational data into executive-quality narrative summaries, decision framings, and recommendation rationales LLM evaluation: Build evaluation frameworks that measure LLM output quality (accuracy, actionability, calibration) and detect degradation over time RAG systems: Design retrieval-augmented generation systems that ground LLM outputs in operational data, historical playbooks, and institutional knowledge Progressive autonomy: Design the trust-calibration system where AI gradually earns expanded authority based on demonstrated accuracy over time Research & Production End-to-end ownership: Take models from research through production deployment — you ship, you monitor, you iterate Experimentation: Design A/B tests and quasi-experiments to validate model improvements and measure business impact Stakeholder communication: Translate complex scientific results into actionable insights for non-technical senior leaders Basic Qualifications 3 years of building machine learning models for business application experience PhD in Machine Learning, Statistics, Computer Science, Operations Research, or related quantitative field (or Master's 4 years of applied science experience) Strong expertise in at least two of: causal inference, time-series forecasting, anomaly detection, NLP/LLMs Proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn, statsmodels) Experience with experimental design and causal methods (difference-in-differences, synthetic control, instrumental variables, or Bayesian causal inference) Experience deploying ML models to production (not just research/notebooks) Track record of publications or equivalent internal research contributions Preferred Qualifications Experience in building machine learning models for business application Experience with LLM integration (prompt engineering, RAG, fine-tuning, evaluation frameworks) Experience with dose-response modeling, treatment effect estimation, or pharmacometric-style modeling Experience with operational/infrastructure data (time-series at scale, noisy signals, multi-dimensional hierarchies) Experience with Bayesian methods (probabilistic programming, uncertainty quantification) Background in supply chain optimization, capacity planning, or operations research Experience building decision support systems that serve non-technical stakeholders Experience measuring GenAI/productivity tools' causal impact on workflows Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually J-18808-Ljbffr

Director of Product, Data Flywheel (Redwood City)

What the role actually is Serve Robotics is hiring a director of product for its Autonomy Data Flywheel. The product covers data offload, data infrastructure, training, testing, validation, and the internal workflows that help autonomy teams learn from a large deployed sidewalk delivery fleet. The role is internal-platform product management for real-world robot data. It serves End-to-End AI, perception, safety, operations, IT, and other teams that need data quality, diversity, and coverage to improve model performance. What you would work on Build and drive the roadmap for Serve's Autonomy Data Flywheel Define requirements for teams consuming robot data across AI, perception, safety, and validation Set quality, quantity, and data diversity metrics for sidewalk operating domains Coordinate product work across engineering, operations, IT, and autonomy stakeholders What they are asking for Product leadership experience for data platforms, ML infrastructure, autonomy, robotics, or operationally complex systems Ability to turn engineering needs into roadmap priorities and measurable product outcomes Strong cross-functional leadership across AI, perception, safety, operations, and infrastructure teams Comfort reasoning about deployed robot data, model improvement loops, and validation workflows Why this one is worth a look Serve has an unusually concrete data problem: lots of robots moving through messy city environments, creating the raw material for better autonomy. The product challenge is making that data usable, representative, and timely enough to feed model improvement instead of becoming operational sludge. J-18808-Ljbffr

Vice President, Supply Chain (Cedar Park)

Job ID: 528177 Texas Materials, A CRH company, is a leading supplier of aggregates, asphalt, ready mixed concrete, and paving and construction services in Texas. Our focus is to provide quality products and reliable customer service with a safety-first mindset. We consider our employees our greatest strength and we make it our priority to invest in their development and well-being. When you work for Texas Materials, you are helping to support and build the infrastructure of Texas. Role Overview The VP, Supply Chain will be a key member of the South Central Division leadership team, reporting to the Division President. The role has a dual mandate: run best-in-class transportation and equipment operations — interfacility movement, last-mile delivery, , and Equipment & Shops — while elevating Procurement into a strategic, value-creating function with ownership of vendor relationships, sourcing strategy, and total cost of ownership. This leader will build the supply chain infrastructure, systems, and organizational capability needed to capture margin and move Procurement beyond transaction processing. The VP will establish S&OP, make rail and barge logistics a competitive advantage, and stand up category management that treats key spend as strategic assets. Key Responsibilities Supply Chain Strategy & Value Creation Develop a multi-year transportation and equipment strategy aligned to Division growth priorities, including unlocking permitted quarry capacity through rail and barge optimization. Design and implement a formal S&OP process that connects demand forecasting, production planning, transportation capacity, and financial targets into one clear operating cadence. Identify and execute modal optimization opportunities across truck, rail, and barge, with emphasis on rail velocity, reduced car dwell times, improved load utilization, and multi-modal fluency across Gulf Coast and inland waterways. Partner with Aggregates, Ready Mix, and HMA & Construction leaders to translate commercial growth ambitions into executable transportation and equipment plans. Transportation & Equipment Operations Interfacility transportation: Own strategy and execution for moving material between quarries, plants, and distribution points by rail, barge, and truck, including modal selection, freight cost, and asset utilization. Last-mile delivery: Manage internal fleet delivery and third-party carriers to balance service, cost, capacity, and daily demand variability. Coordinate with terminal operations leaders in Aggregates to align transportation plans with loading, unloading, and scheduling capacity. Manage the Liquid Asphalt supply chain, including in-bound logistics, last mile delivery, and targeted inventory levels, in partnership with HMA and Liquid Asphalt leaders. Oversee Equipment & Shops to ensure fleet availability, maintenance discipline, capital planning, and alignment with operating priorities. Own strategic relationships with Class I railroads (CSX, BNSF, and Union Pacific), regional/shortline rail partners, Gulf Coast and Mississippi River inland waterway barge operators, and key third-party carriers; negotiate agreements that strengthen the Division’s long-term position. Build rapid-mobilization playbooks for equipment, fleet, and portable-plant support so the Division can capture surge demand from megaprojects (data centers, LNG, industrial) inside compressed 60–90 day windows. Partner with Division and regional Safety leaders to embed safety standards into rail, barge, fleet, and equipment operations, and build weather-related business continuity plans for Gulf Coast rail, barge, and trucking networks. Strategic Procurement & Sourcing Strategic category management: Build category discipline for high-value indirect and equipment-related spend, including wear parts, tires, steel, and equipment components. Vendor strategy and negotiation: Consolidate suppliers where it creates leverage and personally participate in the Division’s largest and most strategic vendor relationships. Low-cost-country sourcing: Evaluate and qualify international sourcing options where commercially viable, balancing landed cost, lead time, quality, and supply risk. AMAT procurement alignment: Coordinate with the broader AMAT procurement community so Division sourcing complements enterprise and cross-divisional category work. Procurement operations: Separate procure-to-pay execution from category management and vendor strategy, with clear roles, workflows, and handoffs. Total cost of ownership: Build visibility to full sourcing cost, including price, freight, quality, downtime, and inventory carrying cost. Organizational Leadership & Capability Building Build, develop, and retain a high-performing supply chain and procurement team. Lead effectively in a matrixed environment, influencing business line leaders and Business Unit presidents who rely on supply chain and procurement services. Champion technology adoption, including ERP readiness, Transportation Management Systems, e-procurement tools, and operational analytics. Partner with the Performance function to ensure supply chain and procurement KPIs support the Division’s broader operating cadence. Model Leading Performance by applying technical expertise, minimizing waste, maximizing capacity, and maintaining disciplined process. Qualifications Education/Experience 10 years of progressive leadership in supply chain, logistics, procurement, or operations within heavy industrial or construction materials industries. Demonstrated experience building or leading a strategic sourcing / category management function — including vendor negotiation, supplier consolidation, and total-cost-of-ownership decision-making. Deep expertise in rail logistics; demonstrated experience managing Class I railroad relationships, negotiating contracts, and optimizing rail network performance. Experience managing a mixed transportation network of an internal private fleet and third-party carriers, with a track record of balancing service levels, cost, and capacity in last-mile delivery. Proven track record of building supply chain or procurement capability in complex, multi-site environments — not just managing existing operations, but designing and standing up new processes and teams. Experience owning significant spend or P&L accountability (direct or indirect) and translating supply chain and procurement performance into measurable financial outcomes. Demonstrated ability to lead through influence in a matrix organization — aligning stakeholders across business lines, functions, and geographies without direct authority. Work Requirements Must be 18 years in age or older. Pre-employment physical, drug screen and background check required. Strict adherence to safety requirements and procedures as outlined in the Employee Handbook. Willingness to work in a team environment and assist co-workers or supervisors with other duties as required. Must be willing to travel and work away from home when required. Must be willing to work nights and weekends when necessary. Knowledge/Skill Requirements Preferred Experience Direct experience with low-cost-country or international sourcing, including supplier qualification, landed-cost analysis, and supply risk management. Barge and port logistics experience, including the Port of Houston, Gulf Coast waterways, and Mississippi River inland barge operations. Background in construction aggregates, asphalt, or related construction materials, including familiarity with wear parts, tires, and heavy equipment component sourcing. Experience implementing S&OP processes in capital-intensive, asset-heavy businesses. Professional procurement credential (e.g., CPSM, ISM) or equivalent demonstrated expertise. M&A integration experience — specifically integrating supply chain and procurement functions post-acquisition. Leadership Competencies Strategic Thinking: translates complex supply chain and sourcing dynamics into clear priorities and actionable plans; sees the connection between logistics and procurement performance and enterprise value creation. Execution Excellence: sets high standards, holds teams accountable, and drives disciplined follow-through — comfortable in the detail without losing sight of the bigger picture. Change Leadership: builds buy-in for new processes and structures in organizations with deeply embedded local cultures; manages resistance with patience and persistence. Commercial Acumen: negotiates from a position of preparation and leverage; builds vendor relationships that create long-term advantage rather than one-time savings. Analytical Rigor: makes decisions from data; builds the measurement infrastructure needed to run the business, not just report on it. People Development: invests in developing the supply chain and procurement talent the Division needs for the next decade, not just filling today’s vacancies. Education Bachelor’s degree in Engineering, Supply Chain, Operations Management, Business, or a related field required. MBA or advanced degree strongly preferred. Physical Requirements Able to stand, walk, use hands and fingers to manipulate objects, talk and hear. Vision abilities (with correction) include close, distance, peripheral, depth, and the ability to adju