Construction

Senior Director, Platform Architecture & AI (Jersey City)

BNY is seeking an experienced architect to define and evolve platform strategies supporting Custody, Wealth, and Asset Management. This role involves technical leadership, cloud deployment, and hands-on solution delivery. The ideal candidate will have over 15 years of experience in financial services, especially in complex enterprise platforms. Responsibilities include mentoring teams and ensuring engineering excellence through modern practices. J-18808-Ljbffr

  • North Bergen, NJ

  • no content

Strategic Finance Leader & Growth Partner (Pittsfield)

Shell Lubricants Hub Hamburg is seeking a Chief Financial Officer in Pittsfield, MA to lead financial operations and reporting. This role requires a Bachelor's degree and a CPA preferred, along with over ten years of project-based accounting experience. The CFO will collaborate with executive leadership, manage budgets, ensure compliance with financial standards, and drive ERP utilization. Excellent communication skills and financial analysis abilities are crucial for success in this position. The salary range is $150,000 - $200,000. J-18808-Ljbffr

  • Allendale, MA

  • no content

Director, Global Lab Systems & Innovation (Boston)

Vertex Pharmaceuticals Incorporated is seeking a Director of Business Engagement & Technology, Lab Solutions to oversee global laboratory technology operations. This role will manage a $10M operating budget while ensuring compliance and operational excellence. The ideal candidate will possess 10 years of experience in enterprise technology platforms, strong leadership skills, and the ability to foster innovative lab environments. Flexible work environment options are available, enabling remote work two days a week or full-time on-site work. J-18808-Ljbffr

  • Boston, MA

  • no content

Head of Capital Formation & Investor Relations (New York)

Shields Group Search is seeking a Head of Capital Formation & Investor Relations for a new venture capital firm focused on Cybersecurity and AI. The role involves leading the fundraising process for Fund 1, targeting around $100M to $300M. You'll manage investor relations and capital partner engagement, translating complex narratives into compelling stories. The ideal candidate has a strong track record in capital fundraising and existing relationships with institutional investors. This is a unique opportunity to make a significant impact in a stealth-mode environment. J-18808-Ljbffr

  • Grand Central, NY

  • no content

Director, AI Platform Engineering (Cincinnati)

84.51° is looking for a Director of Software Engineering to lead the AI Enablement team at our Cincinnati office. The role focuses on managing technical design and platforms for AI agents within the Kroger enterprise. Candidates should have over 7 years of experience in cloud-based software architecture, AI/ML frameworks, and managing engineering teams. This position offers competitive benefits including paid time off, health insurance, and a salary range of $162,000 to $262,000. J-18808-Ljbffr

  • Cincinnati, OH

  • no content

Associate Director, Global Sales Analytics Engineering - Business Decision Intelligence (Vernon Hills)

We Are The People Who Give Possibilities Purpose Job Description BD is one of the largest global medical technology companies in the world. Advancing the world of health™ is our Purpose, and it’s no small feat. It takes the imagination and passion of all of us—from design and engineering to the manufacturing and marketing of our billions of MedTech products per year—to look at the impossible and find transformative solutions that turn dreams into possibilities. Role Summary The Associate Director, Global Sales Analytics Engineering Lead is the senior people leader responsible for the strategy, delivery, and continuous evolution of the commercial analytics semantic layer and business intelligence engineering function. This role owns the enterprise vision for how commercial sales data is modeled, governed, and consumed by business users globally—and builds the team, operating model, and platform capabilities required to deliver governed, scalable, and trusted analytics at scale. A defining priority for this role is leading the transformation of the commercial analytics function from reactive, dashboard-centric reporting to a proactive, AI‑ready analytics model, where governed data products, predictive signals, and intelligent alerting replace static reports as the primary vehicle for commercial insight delivery. This leader will champion the architectural and cultural shift required to move the organization from answering yesterday’s questions to anticipating tomorrow’s decisions. Key Responsibilities Team Leadership & Organizational Development Lead, manage, and develop a high‑performing team of Analytics Analysts (JG3–JG5) and senior individual contributors across semantic layer engineering and BI development disciplines. Set clear performance expectations, provide ongoing coaching and feedback, and conduct formal performance and development reviews for all direct reports. Own team hiring, onboarding, and workforce planning in partnership with HR and analytics leadership, ensuring the team has the skills and capacity to deliver on the roadmap. Build a team culture of technical excellence, accountability, stakeholder orientation, and continuous improvement. Represent the analytics engineering function on the commercial analytics leadership team, contributing to cross‑functional strategy, prioritization, and organizational decisions. Enterprise Semantic Layer Strategy & Governance Define and own the enterprise semantic layer strategy for commercial sales analytics—establishing the long‑term vision for how business metrics, dimensions, and hierarchies are governed and consumed globally. Set the direction for semantic layer architecture across tooling platforms, ensuring scalability, consistency, and alignment to enterprise data governance and access control standards. Serve as the ultimate authority on semantic layer design trade‑offs, resolving escalated conflicts between business metric definitions and physical data model constraints. Partner with Commercial Data Product Strategy to co‑own the enterprise business glossary, metric registry, and commercial KPI framework. Lead cross‑functional governance forums to align commercial stakeholders, data engineering, and enterprise architecture teams on metric definitions, calculation methodologies, and data lineage. Global Self‑Service Analytics Operating Model Own the global self‑service analytics operating model—defining the standards, tooling, enablement programmes, and governance processes that allow commercial users across all Regions and Business Units to access governed insights independently. Define self‑service maturity frameworks, adoption KPIs, and investment priorities, using data to demonstrate business value and guide platform decisions. Champion data literacy across the commercial organization through executive‑level enablement programmes, community of practice initiatives, and structured user education. Drive the elimination of bespoke reporting by leading the design of modular, reusable analytics asset libraries that accelerate insight delivery at scale. Analytics Platform & BI Engineering Excellence Lead the evaluation, selection, and adoption of semantic layer, BI, and analytics platform capabilities in partnership with IT, Data Engineering, and enterprise architecture teams. Establish and enforce BI development standards, design systems, component libraries, and UX/UI principles that ensure consistent, high‑quality analytics experiences across the commercial organization. Ensure all semantic layer assets and BI deliverables meet data governance, privacy, access control, and regulatory compliance requirements. Drive continuous improvement of platform performance, semantic layer health, and report reliability through structured operational reviews and engineering best practices. Agentic AI Development & Training Define and drive the enterprise strategy for agentic AI integration within the commercial analytics platform, establishing the vision for how AI agents consume, generate, and augment governed semantic layer assets. Lead the architecture and governance of AI training data programmes, ensuring commercial analytics outputs used for model development meet quality, lineage, and compliance standards. Partner with Decision Science & AI and enterprise architecture teams to define reference architectures for agentic AI workflows embedded in commercial reporting, forecasting, and decision intelligence use cases. Establish enterprise‑wide standards for prompt engineering, AI output validation, and human‑in‑the‑loop governance across commercial analytics agentic workflows. Represent the analytics function in senior cross‑functional forums on AI platform strategy, contributing to investment decisions, risk governance, and responsible AI frameworks. Mentor JG3 and JG4 analysts in agentic AI development and training practices, fostering a culture of responsible, governed AI adoption within the commercial analytics team. Track and assess the maturity of agentic AI capabilities across the commercial analytics ecosystem, defining roadmap priorities and success metrics that align to enterprise AI strategy. Transformation from Reactive Reporting to Proactive, AI‑Ready Data Products Own and drive the strategic transformation of commercial analytics from reactive dashboard reporting to proactive, AI‑ready data products—establishing the vision, roadmap, and delivery model for this multi‑year capability shift. Redesign the analytics asset portfolio to prioritize intelligent, event‑driven data products that surface insights, anomalies, and recommendations proactively—reducing reliance on manually‑queried dashboards and static reports. Partner with Decision Science & AI teams to architect semantic layer and data product foundations that are consumption‑ready for machine learning models, predictive analytics, and AI‑generated insights. Define and enforce data product standards—including freshness SLAs, semantic consistency, access controls, and lineage documentation— that enable safe, scalable AI and analytics consumption across the commercial organisation. Lead the commercial organisation through the cultural and behavioural change required to shift from pull‑based report consumption to proactive, insight‑driven workflows, working closely with business leaders to drive adoption. Establish metrics to track the function’s progress on the reactive‑to‑proactive transformation, including reductions in ad‑hoc report requests, increases in proactive alert adoption, and AI model consumption of governed data products. Executive Stakeholder Engagement & Strategic Influence Build and maintain trusted relationships with senior commercial leaders across Regions and Business Units, acting as a strategic analytics advisor and translating complex business needs into platform and capability investments. Represent the analytics engineering function in enterprise data strategy forums, contributing to platform investment decisions, vendor evaluations, and governance policy. Partner with the Decision Science & AI team to ensure semantic layer assets support AI model explainability, output visualisation, and executive decision dashboards. Communicate team roadmap, delivery progress, and platform performance to analytics leadership and senior commercial stakeholders on a regular cadence. Qualifications Bachelor’s degree in Business Analytics, Information Systems, Computer Science, Data Science, or a related field mandatory; Advanced degree strongly preferred. Demonstrated experience leading or contributing to a transformation from reactive BI/reporting to proactive, AI‑ready data products—incl. data product design, semantic layer modernisation, or analytics platform re‑architecture. 8 years of progressive experience in analytics, business intelligence, or data engineering with demonstrated increasing scope and seniority. 3 years in a formal people leadership role, managing analytics or data professionals across multiple levels (e.g., analysts, senior analysts, principal/staff ICs). Deep expertise in enterprise semantic layer design, governance, and platform strategy across one or more platforms (e.g., LookML/Looker, AtScale, dbt Metrics, Power BI Semantic Models, Microsoft Fabric). Proven track record owning and delivering enterprise‑scale self‑service analytics programmes across multiple Business Units or Regions.

  • Indian Creek, IL

  • no content

Director of AI Platforms & Enterprise Engineering (Cincinnati)

84.51° is looking for a Director of Software Engineering to lead its AI Enablement team. This role involves designing and maintaining the enterprise's agentic backbone, providing technical leadership, and managing both onshore and offshore teams. The ideal candidate will have extensive experience with cloud architectures and large-scale AI/ML systems, alongside a background in Python and Kubernetes. The position offers a competitive salary range of $162,000 to $262,000, plus an array of benefits including health insurance and generous paid time off. J-18808-Ljbffr

  • Cincinnati, OH

  • no content

Senior Director, Fellow, Solution Architect (Jersey City)

Job Description At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting‑edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Key Responsibilities Architecture Leadership Define and evolve platform architecture strategy for applications and services supporting Custody, Wealth, and Asset Management capabilities. Translate business priorities, operating model objectives, and regulatory requirements into scalable architecture roadmaps. Produce architecture blueprints, target‑state designs, integration patterns, and modernization strategies. Ensure alignment to enterprise architecture principles, security standards, resiliency expectations, and engineering best practices. Lead architecture reviews and provide technical governance across solution design, delivery, and platform evolution. Domain & Business Alignment Partner with business and product stakeholders to understand workflows, operating models, pain points, and transformation opportunities across: Custody operations and servicing Asset servicing Portfolio administration Wealth platforms and advisory capabilities Asset management data and investment workflows Client reporting, accounting, reconciliation, and operational controls Apply domain understanding to improve platform design, data flow, interoperability, and operational efficiency. Support simplification and modernization of legacy workflows and platforms in highly controlled financial environments. Hands‑On Technical Delivery Remain actively involved in engineering and solution delivery, including prototyping, design validation, code reviews, technical troubleshooting, and implementation guidance. Work with engineering teams on API design, system integration, event‑driven architecture, data patterns, cloud deployment models, and observability. Contribute to reference implementations, proof of concepts, and reusable architecture patterns. Help teams solve complex production, performance, scalability, and integration issues. Cloud, Data, and AI Enablement Cloud, Data, and AI Enablement Design and support deployment of applications and platforms on Azure and/or AWS. Drive adoption of cloud‑native services, containerization, infrastructure automation, and resilient distributed architecture patterns. Partner with data teams to design robust data architecture, data pipelines, metadata strategies, and analytics‑ready platforms. Identify and shape use cases for AI/GenAI capabilities, including knowledge retrieval, intelligent workflow support, summarization, classification, and operational productivity improvements. Ensure AI‑enabled solutions are practical, governed, secure, and aligned to enterprise standards. Engineering Excellence & Modernization Champion engineering excellence including automation, CI/CD, testing, reliability, security‑by‑design, and performance optimization. Drive modernization of legacy applications into modular, API‑led, event‑enabled, and cloud‑compatible platforms. Promote best practices in software design, observability, resiliency, release management, and operational readiness. Collaborate with platform, infrastructure, security, and SRE teams to enable stable and scalable production ecosystems. Collaboration & Influence Work cross‑functionally with architects, engineers, platform leads, data teams, cyber/security teams, and business leaders. Communicate architecture decisions clearly to both technical and non‑technical audiences. Mentor engineers and junior architects, raising technical capability across teams. Influence strategic technology decisions through expertise, credibility, and delivery focus. Required Technical Skills Core Architecture & Engineering Strong experience in platform architecture, solution architecture, and distributed systems design. Proven ability to design and deliver microservices and service‑oriented architectures, event‑driven systems, API‑first platforms, high‑availability and resilient systems, scalable batch and real‑time processing solutions. Deep understanding of integration patterns, application decomposition, and modernization approaches. Strong software engineering background with ability to engage in hands‑on technical work. Cloud Hands‑on experience with Azure and/or AWS, including compute, storage, networking, and managed services, cloud‑native application design, Kubernetes/container platforms, infrastructure as Code, deployment automation, security and identity integration, cost, resilience, and operational design considerations. Data Strong understanding of data architecture and engineering patterns. Experience with data modeling, data integration and transformation pipelines, metadata and lineage concepts, data quality and governance considerations, analytical and operational data use cases. Ability to architect platforms that support both transactional and analytical workloads. AI / GenAI Practical exposure to AI and GenAI, such as integrating AI/ML or GenAI capabilities into enterprise workflows, retrieval‑augmented generation or knowledge retrieval patterns, LLM‑enabled search, summarization, classification, or assistant use cases. Responsible AI, model governance, and secure enterprise adoption considerations. Working with structured and unstructured data to support intelligent applications. Required Experience 15 years in architecture and engineering roles within financial services or similarly complex regulated industries. Demonstrated experience delivering technology solutions in Custody, Wealth, and/or Asset Management. Track record of leading architecture for complex enterprise platforms and transformation initiatives. Experience balancing strategic design with practical implementation detail. Experience working in Agile/product‑centric delivery environments. Strong stakeholder engagement skills across business, operations, and technology teams. Education Bachelor’s degree in Computer Science, Engineering, Information Systems, or related discipline. Advanced degree preferred but not required. Benefits Highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and a pay‑for‑performance philosophy. Access to flexible global resources and tools for life’s journey. Focus on health, personal resilience, and financial goals as a valued team member. Generous paid leaves, including paid volunteer time. BNY is an Equal Employment Opportunity/Affirmative Action Employer — Underrepresented racial and ethnic groups, Females, Individuals with Disabilities, Protected Veterans. Base salary for this position is expected to be between $136,500 and $275,000 per year at the commencement of employment. Additional compensation may include commission earnings, discretionary bonuses, short‑ and long‑term incentive packages, and company‑sponsored benefit programs. This position is at‑will, and the Company reserves the right to modify base and any other discretionary payment or compensation at any time. J-18808-Ljbffr

  • North Bergen, NJ

  • no content

Senior Solutions Architect — End-to-End Platform Solutions (San Francisco)

Retool, Inc. is seeking a Solutions Architect to help customers harness the power of Retool through implementations and integrations. This role involves advising on full-stack solutions and developing new service offerings based on market needs. The ideal candidate will bring 5 years in technical customer-facing roles, with skills in cloud architecture design and problem-solving. The position offers a hybrid work environment and a competitive salary range of $157,500 to $280,800 per year. J-18808-Ljbffr

  • Noe Valley, CA

  • no content

Principal Data Scientist, Mail Growth & Experimentation (Mountain View)

Yahoo Holdings Inc. is seeking a Principal Data Scientist for Yahoo Mail in Mountain View, CA. In this role, you will collaborate with product, design, and engineering to enhance user growth and drive product innovation through strategic research projects. The ideal candidate has at least 6 years of experience in data science, strong technical skills in data querying, big data technologies, and a master’s degree in a related field. A flexible hybrid work option is available. J-18808-Ljbffr

  • Spring Valley Lake, CA

  • no content

Director, Lab Systems Engineering (Boston)

Job Description The Director, Business Engagement & Technology, Lab Solutions will lead a global team responsible for the architecture, delivery, security, support, and continuous evolution of enterprise laboratory technology platform(s) including laboratory Operational Technology (OT) such as information/cyber security, sensors, and IoT enabled lab environments across all Vertex labs and manufacturing shop floors. This role serves as a senior technology and business partner, ensuring reliable, compliant, and scalable lab operations while advancing the future of the physical and digital laboratory. Operating within highly regulated GxP and SOX environments, the Director is accountable for operational excellence, financial stewardship, and risk management across a complex laboratory technology landscape, including ownership of an approximately $10M annual operating budget. In parallel, the role provides strategic leadership in identifying, piloting, and scaling innovative technologies such as intelligent and agentic workflows, passive data capture from laboratory endpoints, IoT enabled environments, and wearable or sensor‑based solutions to accelerate scientific outcomes and enable next generation lab capabilities. Key Duties & Responsibilities Build and sustain strong, trust‑based relationships with senior business, quality, and DTE leaders, acting as a strategic partner with sustained impact on enterprise laboratory goals. Lead, develop, and retain a highly effective Lab Engineering Support team, leveraging internal resources and external partners through a managed service provider model. Ensure stable, secure, and compliant laboratory technology operations across both IT and OT environments by implementing industry‑standard best practices aligned with cyber security, ITSM, ITIL, and DTE system lifecycle standards. Serve as the primary point of accountability for laboratory technology (including laboratory IT and OT systems) operating within GxP and SOX regulated environments, partnering closely with DTE Compliance, Cyber Security, Internal Audit, and Quality Assurance. Own and manage an approximately $10M operating budget, ensuring disciplined financial planning, forecasting, vendor management, and value realization across services and platforms. Partner with business stakeholders across the enterprise to manage and prioritize service demand, balancing operational stability, risk, and strategic investment. Oversee a portfolio of programs, projects, platform releases, and enhancements, ensuring high quality delivery, adherence to timelines, and alignment with business outcomes. Establish, track, and communicate operational performance metrics, financial impact, and value drivers associated with laboratory technology investments. Continuously enhance internal processes related to security, demand management, resource planning, project delivery, platform releases, and ongoing operational support. Lead technology‑driven initiatives that modernize the laboratory environment by evaluating and advancing emerging capabilities such as intelligent automation, agentic workflows, passive data capture, IoT enabled instruments, and connected lab environments. Translate innovation opportunities into pragmatic, compliant roadmaps that improve scientific productivity, operational efficiency, and long‑term scalability. Document and present complex technical issues, architectural options, and recommendations clearly to technical and non‑technical audiences. Manage strategic relationships with technology vendors and service providers to ensure performance, security, compliance, and long‑term value. Attract, develop, and retain top talent; serve as a people manager with full accountability for performance management, talent development, and financial stewardship of assigned staff. Required Education Level Bachelor's degree required (B.S. or equivalent). Advanced degree preferred. Required Experience Requires 10 years of relevant experience, or an equivalent combination of education and experience. Demonstrated leadership experience managing enterprise‑scale technology platforms and support organizations. Proven experience operating within GxP and SOX regulated environments. Experience leading complex programs, portfolios, and vendor ecosystems with financial accountability. Required Knowledge / Skills Strong senior‑level business engagement and stakeholder partnership capabilities. Deep understanding of enterprise technology operations, cyber security, IT service management, and system lifecycle practices. Proven people leadership experience with a track record of building and sustaining high‑performing teams. Program, portfolio, demand, and financial management expertise. Excellent analytical, problem‑solving, communication, and executive‑level presentation skills. Ability to balance operational stability with innovation in regulated environments. Experience working across global, multi‑site laboratory organizations. Experience leveraging managed services and external partners at scale. Pay Range: $198,000 - $297,000 The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job‑related factors permitted by law. At Vertex, our Total Rewards offerings also include inclusive market‑leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week‑long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more. Flex Designation: Hybrid-Eligible Or On‑Site Eligible In this Hybrid-Eligible role, you can choose to be designated as: Hybrid : work remotely up to two days per week. On‑Site : work five days per week on‑site with ad‑hoc flexibility. Note: The Flex status for this position is subject to Vertex's Policy on Flex @ Vertex Program and may be changed at any time. Company Information Vertex is a global biotechnology company that invests in scientific innovation. Vertex is committed to equal employment opportunity and non‑discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status or any characteristic protected under applicable law. Vertex is an E‑Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at [email protected]. J-18808-Ljbffr

  • Boston, MA

  • no content

Director, Software Validation & Compliance (CSA/CSV) (Lake Forest)

STAAR Surgical in Lake Forest is seeking a Director of Software Validation to lead software validation efforts across various platforms. The role involves managing teams, ensuring compliance with FDA regulations, and improving validation practices. Candidates should have extensive experience in software validation and a strong background in medical devices. This leadership position requires a bachelor's degree in a related field and at least 10 years in software validation, with an emphasis on compliance and risk assessment methodologies. J-18808-Ljbffr

  • Lake Forest, CA

  • no content