Lead Product Manager, AI Portfolio, Product, & Value

Sensata Technologies•Attleboro, MA

1d•$121,600 - $167,200

About The Position

The Lead Product Manager, AI Portfolio, Product & Value (Focus: Operations) owns AI products for Sensata's operations, starting with Supply Chain and extending to Procurement, Quality and Engineering. Working directly with planners, buyers and plant teams, the role maps current workflows, identifies pain points, and shapes AI solutions whose features address them. The role defines what gets built, the first version's scope and acceptance criteria, and owns prioritization, business cases and measured value so solutions progress from pilot to production and are used in daily work. The position develops product roadmaps and strategy, optimizes the product portfolio, contributes to pricing strategy, owns the product line balanced scorecard, and addresses operational issues related to quality, delivery and production. It also manages intake and prioritization of operations AI use cases, defines product requirements and success metrics, tests and pilots solutions with users, tracks realized business value, and reports product status and decisions to AI and business leaders. The role works with AI engineers, data scientists, AI Governance, AI Enablement, IT and vendors to ensure products pass governance gates and fit ERP and planning systems. It builds business cases with business owners and Finance, ensures each product has a named business owner and adoption plan, and makes scale, pivot or stop recommendations.

Requirements

University degree, such as a bachelor's degree, or equivalent relevant work experience.
7+ years in product management, digital/AI product or operations roles, including 3+ years owning data, analytics or AI products.
Hands-on operations background, ideally in supply chain planning, inventory, S&OP, procurement or manufacturing operations.
Strong product discovery skills, including workflow and process mapping, user research and pain-point analysis translated into requirements, user stories and acceptance criteria.
Track record of defining a first version and taking products from idea to production with measured adoption and business value.
Working knowledge of ERP systems such as SAP or Oracle, planning systems and operational data.
Technical depth in GenAI, ML, optimization and agents sufficient to challenge engineers and vendors on scope, feasibility and cost.
Experience building business cases and tracking realized value with Finance.
Experience with Agile product delivery and backlog tools such as Jira or Azure DevOps.
Ability to influence senior business leaders with evidence and make clear prioritization decisions.
Ability to work as a team player in a fast-paced environment and handle multiple competing tasks and demands.
Strong oral, written and presentation communication skills.
Strong organization, planning and time management skills to achieve results.
Strong personal and professional ethical values and integrity.
Accountability for achieving goals and standards.
Proficiency in Microsoft Office programs, including Outlook, Word, PowerPoint and Excel.
Strong interpersonal and collaboration skills for working effectively with all organizational levels, including suppliers and external customers.

Nice To Haves

Experience in manufacturing, automotive or industrial environments.
Product certification, such as CSPO.
ASCM/APICS certification, such as CPIM or CSCP.
Lean/Six Sigma certification.

Responsibilities

Own AI products for operations use cases, beginning with Supply Chain and extending to Procurement, Quality and Engineering.
Map current workflows with planners, buyers, plant and quality teams; identify pain points, root causes and opportunities for AI to improve decisions or reduce manual work.
Translate pain points into product requirements, user stories, first-version scope, acceptance criteria and success metrics.
Own the product backlog and roadmap, prioritize features, and make trade-offs with AI engineers, data scientists and the AI Architect.
Test solutions with users, run pilots, gather feedback and iterate toward adoption in daily work.
Run intake, triage and prioritization for operations AI use cases, and recommend whether to scale, pivot or stop them.
Build business cases with business owners and Finance, establish baselines, target value and costs, and track realized value after go-live.
Ensure every product has a named business owner, success metrics and an adoption plan before development starts.
Work with AI Governance, AI Enablement, IT and vendors to clear governance gates and fit products into ERP and planning systems.
Own business requirements in vendor and build/buy evaluations.
Report product status, value and key decisions to AI leadership and business leaders.
Develop actionable product roadmaps by integrating cross-functional stakeholder input with business objectives and product strategy.
Oversee product positioning in the marketplace, including rationalizing pricing strategy based on market conditions.
Develop product strategy, optimize the product portfolio, and provide planning and project prioritization.
Contribute to pricing strategy through the product life cycle.
Own the product line balanced scorecard and drive development and execution of its improvement roadmap.
Address operational issues associated with quality, delivery and production.
Anticipate and communicate issues, recommend corrective action, take independent remedial actions and report outcomes.

Benefits

Medical insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
Education reimbursement
Wellness programs
401(k) retirement plan with Company matching
Paid time off, including vacation or flex-time, sick, bereavement and parental leave
Short-term incentive programs for certain positions
Long-term incentive programs for certain positions