We are seeking a strategic and technically adept TechOps and G&A Functions Data Product Owner to drive the identification and delivery of strategic data and AI products at Jazz. This role supports Tech Ops (Manufacturing, Supply Chain, Quality) and G&A Functions (Finance, HR, Legal, Procurement). The data product owner is embedded in the Data & AI team at Jazz and ensure Data & AI product delivery is streamlined across the team, aligned with organizational goals, user-centric, and delivers measurable value. This individual will help drive adoption and use of D&A services and products across the organization. This role is pivotal for culture and change management, fostering collaboration among business stakeholders, decision makers, process modelers, and D&A developers. The right individual combines a passion for data, analytics and AI, strong soft skills, technical understanding, and domain knowledge to create business value through data-driven change.  Ideal candidates have relevant pharma or biotech experience specifically in the areas of TechOps and/or G&A Functions.

Essential Functions/Responsibilities

• Support TechOps and G&A business stakeholders and Center of Excellence Leads through all stages of a product lifecycle including: inspiration (identifying and prioritizing use cases), ideation (prototyping and business case development), and implementation (adoption, workflow integration, impact measurement, and sharing outcomes).

• Partner closely with the functional Center of Excellence (COE) leads to define data and AI strategic roadmap aligned with enterprise capabilities and functional strategic needs.

• Liaise with Data Governance Lead to maintain data quality, lineage, and stewardship accountability.

• Collaborate with Enterprise Data Architect capability team to optimize existing architecture and streamline support of live products.

• Partner with Enterprise AI Capability team to maximize enterprise AI capability investments and to collaboratively evolve capability roadmap ahead of business needs.

• Define and communicate the vision, strategy, and roadmap for data products in alignment with enterprise data strategy and business objectives.

• Track business outcomes achieved through data and AI initiatives, focusing on impact, value measurement, customer satisfaction, and adoption metrics.

• Translate business needs into actionable data product requirements and prioritize features based on impact and feasibility.

• Facilitate cross-functional collaboration to ensure data products meet user needs and drive adoption.

• Manage product backlogs, sprint planning, and iterative delivery in Agile environments.

• Leads user acceptance testing and gathers user feedback to refine and enhance data products iteratively, fostering continuous improvement

• Collaborates with governance, risk and security teams to ensure that data products comply with relevant laws and regulations, particularly those related to data privacy and security

• Conduct market research and competitive analysis to identify opportunities for innovation and differentiation in data product offerings

• Drive adoption aligned to regulatory and governance requirements

• Improve operational efficiency and performance through data and AI

• Ensure compliance with regulated operational and corporate processes

• Monitor product performance using KPIs and user feedback.

Required Knowledge, Skills, and Abilities

• Proven ability to drive business and financial outcomes of data and AI solutions

• Experience in business process design, change management and cross-functional collaboration.

• Proven ability to manage cross-functional teams and drive stakeholder alignment.

• Strong understanding of modern data stacks, cloud platforms (especially AWS), and data governance principles

• Excellent communication and stakeholder management skills

• Strong project management experience including familiarity with Agile/Scrum methodologies.

• Strategic thinking and problem solving skills, especially in collaborative, cross functional teams.

Required/Preferred Education and Licenses

• Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or related field.

• 7+ years of experience in data and AI product management, data or AI project delivery, or related roles

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