Director of R&D Data, Digital & AI Products

We Are Teva

We’re Teva, a leading innovative biopharmaceutical company, enabled by a world-class generics business. We are dedicated to addressing patients’ needs now and in the future, whether innovating in neuroscience and immunology or delivering high-quality medicine worldwide. At Teva, you will be part of a high-performing, inclusive culture that values fresh thinking and collaboration, offering room to grow, flexibility, and the opportunity to better health worldwide.

Our Team, Your Impact

The DADAI Delivery Liaison, serving as the Director of R&D Data, Digital & AI Products, is accountable for the R&D DADAI change pipeline from early shaping through delivery outcomes. This role operates in two distinct phases:

• Phase A (pre-GO): Lead solution shaping and decision readiness with the IT SHM by coordinating Centers of Excellence, enterprise functions, and delivery lines. Produce a complete decision package including solution options, make-versus-buy inputs, risks, dependencies, and calibrated T-shirt sizing.
• Phase B (post-GO): Act as the R&D Product Manager for Data & AI Delivery, owning epic scope, prioritization, value narrative, and the continuous improvement loop from production operations back into the R&D backlog. Provide functional leadership for direct reports (R&D Product Owners), ensuring consistent product ownership standards across trains and vendor teams.

How You’ll Spend Your Day

Phase A - Pre-GO Shaping and Decision Readiness

• Lead discovery and shaping workshops to clarify business problems, outcomes, constraints, and success measures for R&D demand.
• Coordinate factory solution architects and enterprise functions to develop solution options and identify required platform capabilities and guardrails.
• Collaborate with Enterprise Architecture for make-versus-buy evaluation and target architecture alignment, ensuring decisions and rationale are captured.
• Obtain calibrated T-shirt size and complexity inputs from delivery lines (via ART and vendor leads) and document assumptions and dependencies.
• Assemble the DADAI shaping pack for the SHM-led GO/NO-GO decision, including options, risks, sizing, dependencies, and required approvals.
• Ensure traceability by linking intake identifiers to the DADAI portfolio placeholder and informing the DADAI portfolio manager of pre-GO pipeline evolution.

Phase B - Post-GO Product Ownership and Delivery Alignment

• Own epic definition, scope boundaries, and prioritization for approved R&D initiatives within DADAI Delivery.
• Drive feature intent and acceptance framing, ensuring R&D Product Owners and vendor teams have clear direction and quality definitions.
• Represent the R&D product view in PI preparation and planning.
• Maintain the R&D narrative of progress, risks, and trade-offs; prepare briefing packs for the SHM to communicate with business stakeholders.
• Lead R&D prioritization of defects, minor enhancements, and continuous improvement items, informed by production operations feedback.
• Ensure that operational learnings (incidents, recurring issues, performance gaps) are converted into backlog items and routed to relevant trains and engineering owners.

Functional Leadership - Product Owner Community

• Provide functional leadership to R&D Product Owners (internal and vendor), ensuring consistent product ownership practices across trains.
• Define and enforce domain-level product ownership standards (definition of ready, acceptance standards, prioritization attributes, backlog hygiene).
• Run a regular domain backlog sync to align priorities across products and teams and prevent conflicting commitments.
• Coach and develop Product Owners to maintain a product mindset and avoid drifting into project management behaviors.

Success Measures

• Decision Readiness: Percentage of initiatives reaching GO decision with complete shaping packs and no rework due to missing architecture, security, or data governance inputs.
• Planning Quality: Accuracy of pre-GO T-shirt sizing versus actual delivery outcomes at PI level, and reduced late discovery of dependencies.
• Product Outcomes: Delivery of agreed domain outcomes and adoption readiness, measured through stakeholder satisfaction and realized value evidence (captured by SHM).
• Backlog Health: Clear prioritization, low churn, and consistent use of prioritization attributes across R&D initiatives.
• Operational Feedback Loop: Time to convert production issues into backlog items and time to prioritized remediation.

Your Skills And Experience

Required

• Enterprise Product Leadership in IT (8+ years): Experience combining business-facing ownership with delivery execution (e.g., Product Manager, Digital Business Partner, BRM with product accountability, R&D Technology Lead). Evidence of owning prioritization, scope trade-offs, and outcomes across multiple initiatives.
• Domain Business Understanding (R&D) (5+ years): Hands-on experience supporting, delivering, or product-owning solutions in the R&D domain. Demonstrated ability to translate business processes into epics and measurable outcomes. Ability to speak credibly with senior stakeholders about value, risk, operational impact, and adoption.
• Shaping and Governance Readiness (5+ years): Leading initiative shaping from early demand through governance approval: problem definition, option analysis, risks, dependencies, decision packs. Demonstrated ability to work behind a business-facing leader (SHM) while still driving decision quality and completeness.
• Agile Delivery at Scale Exposure (3+ years): Working in scaled agile environments (SAFe or equivalent) with PI planning, epics to features decomposition, and cross-team dependency management. Ability to operate with ART leadership and delivery trains without acting as a project manager.
• Cross-functional Leadership (3+ years): Driving alignment with Enterprise Architecture, Security, and Data Governance (or equivalent control functions). Proven ability to obtain approvals, resolve conflicts, and avoid bottlenecks through structured facilitation and escalation.
• Vendor and Mixed Workforce Operating Model (3+ years): Working with strategic vendors in a matrix environment where most engineering capacity is external. Ability to maintain internal control and knowledge retention without owning vendor commercials.

Preferred

• Data, Analytics, Automation or AI Delivery Background (3+ years): Delivering data products, analytics platforms, automation, or AI-enabled solutions in an enterprise environment.
• Regulated or High Compliance Environment (2+ years): Working in environments with validation, audit, and controlled release practices.
• Formal Certifications: SAFe POPM, SAFe Practitioner, or similar product and agile certification. ITIL foundation or equivalent service management exposure.
• Leading a Product Owner Community (2+ years): Coaching or functionally leading Product Owners: standards, backlog hygiene, prioritization discipline, and cadence.

Capabilities And Skills

• Excellent stakeholder management and facilitation skills across business, IT functions, CoEs, and vendors.
• Strong analytical and structured thinking, including ability to create decision packs and scenario trade-offs.
• Ability to influence without direct authority, including across enterprise functions such as EA, Security, Data Governance, and Operations.
• Clear communication skills, including building concise briefing packs for senior stakeholders.
• Product mindset: value focus, prioritization discipline, and ability to manage scope trade-offs under pressure.

How We’ll Take Care Of You

At Teva, better health starts from within, and that includes you. From day one, you’ll be supported with benefits designed to help you thrive in and out of work. This includes generous annual leave, reward plans, flexible working schedules (dependent on role), access to tailored health support, and meaningful ways to give back to the community. When it comes to your career, you’ll be encouraged to explore, evolve, and shape your path. Twist, our one-stop shop for career development platform, gives you access to a wide range of possibilities, from learning programs and short-term projects to opportunities for internal growth. Here, you’ll be part of a culture that empowers you to reach your goals and prioritize your wellbeing every step of the way.

Key skills/competency

• Product Management
• Data Strategy
• AI/ML Solutions
• Digital Transformation
• Agile Methodologies (SAFe)
• Stakeholder Management
• R&D Domain Knowledge
• Data Governance
• Vendor Management
• Enterprise Architecture