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Assoc. Dir , EX US Tribe Lead

Summary

Leads end-to-end delivery of Ex‑US commercial data products on Databricks, standardizing pipelines and models across regions while aligning with global data strategy and AI-enabled practices.

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

See also

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