OT Data & AI Product Owner

Own the OT Data & AI product vision and roadmapfor shopfloor digitalization ensuring alignment with OT Programs strategy standards and lifecycle governance and delivering measurable operational value.

Identify size and prioritizehighvalueuse casesacross manufacturing and supply chain; translate needs into clear product outcomes and acceptance criteria in partnership with sites and key functions.

Lead theideatoproductpathwayby shaping MVPs/PoCs defining success metrics and driving scale decisions (standardize / iterate / stop) through established governance based on value feasibility compliance and cybersecurity readiness.

Ensure product solutions alignenterprisearchitectureand data standards(e.g. ISA88/95) by partnering with Enterprise architects and data governance teamsdrivingfitforpurposerequirements and reusable foundations for global adoption.

Own and prioritize the OT Data & AI product backlog(epics/features/user stories) based on value risk compliance cybersecurity and capacity;maintaintransparency on priorities andtradeoffs.

Define product vision roadmap and release plan(quarterly) with measurableoutcomes andKPIs(adoptioncycletimeimprovementsrightfirsttime scrap/rework reduction etc.).

Elicit and manage requirementsacross sites/functions (ManufacturingQuality Engineering Data &Digital & Technology (DD&T)) translating needs into clear product outcomes user stories andtestable acceptance criteriaaligned to OT standards data governance and lifecycle controls.

Drive MVP/PoC execution throughcrossfunctionalteams and vendors: coordinatediscoverytodeliveryactivities; define hypotheses success criteria and acceptance tests; run demos feedback loops and iteration cycles.

Own product value tracking: define KPIs baseline current performance and report realized/expected value; recommend continue/stop/scale decisions via governance.

Ensure scale readiness and lifecycle handover: documentation support model training operational readiness validation/testing evidence (incl. data integrity and audit readiness considerations) prior to transition into deployment programs.

Partner with DD&T architects and data governanceto ensure alignment with the OT data lake blueprintdataflowpatterns contextualization (ISA88/95) and DD&T requirementswithout duplicating architecture ownership.

Manage product risks and controls: identify/mitigate compliance data integrity cybersecurity and operational risks; ensure products meet regulated environment expectations and audit readiness.

Represent OT Data & AI product topicsin forums/communities of practice; drive reuse of successful patterns lessons learned and standard work across the network.

Act as escalation point for product scope decisions(priority conflicts valuetradeoffs and release readiness) coordinating resolution with Quality/Validation/Cybersecurity and platform owners per governance.

Education & Experience: Bachelors (or higher) in Engineering Computer Science Data/Automation or related field;typically 7 yearsin OT/digital manufacturing and/or data/AI products in industrial environments with proven experience inOT/digital manufacturing product ownership(backlog/roadmap/release/value tracking) and delivering scalable OT data/AI capabilities in regulated industries (e.g. pharma/life sciences preferred); working knowledge ofGxP/CSV data integrity and OT cybersecurity; experience managing vendors/system integrators.

Behavioural & Leadership Competencies:Strong analytical and strategic thinking; sound judgment; ability to influence across functions/cultures; effective communication in complex global environments; continuous improvement mindset while navigating ambiguity.

Professional & Functional Skills:Provenexpertisein Data & AI product delivery across the innovation lifecycle; strong understanding of OT cybersecurity and interoperability fundamentals; experience in global matrixed organization.