The posting
Delivery & Tribe Coordination
- Own end‑to‑end delivery accountability for Ex‑US Commercial Bronze and Silver data products across multiple squads and regions
- Coordinate delivery activities across squads, chapters, and supporting competencies (QA, Reliability, DevOps)
- Ensure predictable delivery aligned with priorities, milestones, and capacity commitments
- Act as the primary escalation point for delivery risks, cross-team dependencies, and execution blockers
- Drive PI planning, backlog alignment, and dependency management in a scaled agile (SAFe) setup
- Manage delivery across multiple geographies and regional teams, ensuring alignment and consistency
Platform Ownership & Operations
- Take ownership of the modernized Ex‑US Commercial data platform on Databricks post migration
- Ensure the platform is stable, observable, scalable, and fit for continuous Bronze & Silver data delivery
- Work with Architecture, Platform, and Reliability teams to enforce operational standards, monitoring, and support models
- Drive continuous improvement of data pipelines within governance and platform standards
- Ensure consistent platform adoption across regional implementations
Regional Standardization & Common Model Governance (Key Differentiator)
- Define and drive standardization of data models, pipelines, and delivery patterns across Ex‑US markets
- Ensure common data models (canonical models) are implemented, adopted, and consistently maintained across regions
- Minimize fragmentation by enforcing reuse, harmonization, and alignment across country-specific implementations
- Establish governance mechanisms to ensure adherence to global standards while accommodating local regulatory or business variations
- Collaborate with global architecture teams to define reusable frameworks and scalable design patterns
- Drive alignment between regional teams to ensure consistency in data definitions, business rules, and KPIs
AI‑Enabled Delivery & Innovation
- Drive adoption of AI-enabled delivery methods (automation, assisted development, intelligent quality checks)
- mprove delivery efficiency, scalability, and time-to-value across regional pipelines
- Ensure AI adoption aligns with enterprise governance, compliance, and observability requirements
- Promote experimentation and adoption of modern engineering practices for repeatable and AI‑ready data foundations
Data Strategy & Domain Alignment
- Co-create and maintain the Ex‑US Commercial data domain strategy with Data & Information Architecture and Gold Analytics teams
- Align Bronze and Silver data products with clearly defined Gold use cases and business outcomes
- Translate domain strategy into execution roadmaps for delivery squads
- Promote reuse, consistency, and cross-region standard data patterns
- Ensure alignment between regional strategies and global enterprise data strategy
Stakeholder Collaboration
- Serve as the primary interface for Domain Analysis & Planning and regional business stakeholders
- Manage demand intake, prioritization, and structured delivery planning across regions
- Communicate delivery status, risks, and trade-offs transparently
- Align with adjacent domains (e.g., Market Access, Forecasting) where dependencies exist
- Facilitate collaboration across global and regional teams
Governance, Quality & Compliance
- Ensure data governance, lineage, and quality standards are consistently applied across all Ex‑US pipelines
- Enforce adherence to SDLC, audit, and compliance requirements across regions
- Partner with QA and Reliability teams to improve data quality, resilience, and incident response
- Ensure standardization efforts do not compromise compliance with local market regulations
Requirements / Qualifications
- Proven experience leading data delivery across multiple squads in a global, distributed environment
- ·Strong understanding of data platforms and analytics delivery (Bronze / Silver / Gold architecture)
- Hands-on experience with cloud data platforms (preferably Databricks)
- Experience in driving standardization and harmonization across multiple regions or markets
- Ability to influence delivery without direct line authority
- Experience in scaled agile (SAFe) delivery models
- Strong stakeholder communication across technical and business teams
- Experience working across multiple geographies and time zones
- Experience in Commercial or Life Sciences domains (Ex‑US markets preferred)
- Experience in defining or governing canonical data models or enterprise data standards
- Familiarity with data governance and metadata tools (e.g., Collibra) Background in data engineering, analytics engineering, or solution architecture
What Success Looks Like
- Ex‑US Bronze and Silver delivery is predictable, stable, and scalable across all regions
- A standardized data and delivery framework is consistently adopted across markets
- Common data models are implemented, reused, and maintained globally, reducing duplication
- Regional variations are managed without breaking global consistency
- The Databricks platform is fully operationalized and supports multi-region delivery at scale
- Strong cross-region collaboration with clear ownership and minimal fragmentation
- AI-enabled delivery practices improve efficiency, quality, and time-to-value



