Senior Manager, Commercial Data & Analytics Engineering

Job Summary

The Senior Manager, Commercial Data & Analytics Engineering is a senior technical delivery leader within North America Commercial IT. The role leads the design, engineering, delivery, and ongoing evolution of data, analytics and AI platforms and data products that enable Commercial Analytics & Insights, Commercial Operations, and other business units.

Working through internal and external engineering partners, the role translates business priorities into scalable technical designs, governed data products, and reliable analytics capabilities. The Senior Manager provides technical leadership, oversees data and engineering vendors, and coordinates with enterprise IT and other delivery teams.

The role also serves as a key business-facing technology partner, building strong relationships with Commercial and IT stakeholders, communicating effectively across business and technology teams, and balancing multiple priorities and initiatives in a fast-paced environment. The scope is expected to evolve as Commercial data and analytics capabilities expand.

1. Business Partnership, Stakeholder Engagement & Engineering Roadmap

• Partner with Commercial Analytics & Insights, Commercial Operations, and other business units to understand prioritized business needs, KPI definitions, and use cases, and translate them into technical requirements and scalable solutions.
• Build and maintain strong relationships with Commercial and IT stakeholders and serve as a trusted technology partner for Commercial data and analytics initiatives.
• Advise business and technology stakeholders on data availability, feasibility, dependencies, risks, delivery sequencing, and time to value, while helping stakeholders navigate competing priorities and trade-offs.
• Proactively communicate priorities, delivery status, dependencies, risks, and key decisions to business and technology stakeholders and manage expectations across multiple concurrent initiatives.
• Develop and maintain the Commercial Data & Analytics engineering roadmap, release plan, and prioritized technical backlog aligned with business priorities and enterprise architecture.
• Lead the technical design, delivery, and lifecycle management of the North America Commercial data lake/lakehouse, analytics platforms, and integration services, working through internal and external engineering partners and in alignment with enterprise standards.
• Guide and review the engineering of data ingestion and integration, ETL/ELT pipelines, layered data, data and semantic models, reusable data products, and BI-ready datasets.
• Promote modular, configurable, and versioned designs that allow Commercial hierarchies, mappings, KPI logic, and reporting rules to evolve without rebuilding the underlying data foundation.
• Define and drive practical engineering standards for solution quality, testing, deployment, documentation, security, performance, reliability, and cost efficiency.

3. Data Governance, Quality & Compliance

• Put data-governance standards into practice with Commercial Analytics & Insights, business data owners, data stewards, and enterprise teams, including metadata, lineage, quality, access, and retention.
• Establish appropriate data-quality monitoring and reconciliation processes and coordinate resolution of material issues with data providers and delivery teams.
• Support governed master and reference data for key Commercial domains and partner with Information Security, Privacy, Compliance, and Legal to implement applicable controls.
• Lead the technical onboarding and service management of third-party Commercial data providers, including data delivery, quality, changes, and issue resolution.
• Oversee engineering firms, managed-service providers, and GCC resources against agreed SOWs, milestones, service levels, quality expectations, and spend.
• Maintain vendor scorecards and service reviews, coordinate corrective actions, and ensure appropriate documentation, knowledge transfer, and sustainable support models.
• Establish clear accountability across internal teams and external partners and ensure effective communication and coordination across delivery dependencies.

5. Platform Operations & Delivery Governance

• Coordinate and oversee production operations with enterprise IT, managed-service providers, and engineering partners, including monitoring, incident and change management, recovery, and business continuity.
• Track delivery health, dependencies, risks, service performance, and costs and provide clear, timely…