Assoc. Dir , EX US Tribe Lead - #1169025

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