Senior Director, Data and Analytics

MonsterCorona, CA
3d$180,750 - $241,000

About The Position

The Senior Director, Data and Analytics will co-lead the enterprise data and analytics function, responsible for the platforms, engineering, integration, governance, and operating model that enable trusted, scalable insights across the company. This role is a key leader in a multi year global SAP S 4HANA program and will also own the maturation of Microsoft Fabric and the company’s lakehouse strategy with OneLake. The role is IT led and business partnered, helping business units adopt a consistent model where IT delivers governed, reusable data foundations while enabling trained business report writers to build and maintain domain reporting in partnership with the central team. This is a new role reporting to the SVP, IT Application Development, Data and Analytics and will partner closely with IT, Supply Chain, Sales, the SAP program PMO, and business analytics leaders.

Requirements

  • 10+ years of progressive leadership in enterprise data and analytics, including data engineering, BI, governance, and platform strategy.
  • Experience building governance operating models, including councils, stewardship, decision rights, and quality programs.
  • Expertise in enterprise data architecture including Microsoft Fabric, OneLake, SAP Datasphere, Business Data Cloud (BDC), Analytics Cloud (SAC), BW4/Hana and SAP S/4HANA integration.
  • Comfort leading mixed teams with significant contractor and consultant delivery.

Responsibilities

  • Lead the enterprise lakehouse strategy on Microsoft Fabric and OneLake, including architecture, engineering standards, security, performance, cost management, and platform reliability.
  • Own the centralized data pipeline approach for ingestion, transformation, and modeled data sets that can be reused across domains.
  • Drive platform standards across Power BI and GitHub, including development workflows, version control practices, and repeatable release processes.
  • Define the enterprise reporting and analytics strategy for S 4, including what is delivered through SAP versus Fabric, and how semantic models and enterprise KPIs will be governed.
  • Lead KPI definition alignment, data validation processes, and program level controls required for delivery, compliance, and operational readiness.
  • Partner tightly with the SAP program PMO and domain teams to ensure data and analytics deliverables remain on plan and meet quality expectations.
  • Establish and lead the enterprise data governance council and operating cadence.
  • Create a clear data stewardship strategy in partnership with business leaders, including stewardship roles, decision rights, and accountability.
  • Stand up a data quality program with measurable SLAs, monitoring, and remediation workflows across critical data domains.
  • Act as an executive level evangelist for the data and analytics strategy, explaining the central team structure, how it works, and how it benefits each department.
  • Lead a mixed team of employees and contractors and drive high accountability delivery across engineering, integration, governance, and analytics.
  • Set clear engineering expectations for quality, documentation, testing, and operational excellence.
  • Build a high performance culture focused on execution, coaching, and continuous improvement.
  • Scale delivery capacity through program contractors and consultants for SAP S 4, while maintaining standards and consistency across all workstreams.
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