Description

CORE RESPONSIBILITIES:

Own the design, build, and maintenance of certified BI products including operational dashboards and Gold/Silver data products.

Translate senior leadership requirements into governed, repeatable analytical products that draw exclusively from certified Fabric IQ gold metrics produced by domain data engineering and system analyst teams.

Define and enforce data product standards including metric definitions, refresh SLAs, documentation, and certification criteria in partnership with the SC architecture and platform teams.

Lead stakeholder engagement across P&SC domain leads, Finance, and senior leadership to align on analytical priorities, interpret performance trends, and drive data-informed decisions.

Own the analytical narrative for assigned squads, identifying systemic patterns, risks, and opportunities across SC performance data and communicating them clearly to P&SC senior leadership.

Partner with Technical Product Managers and System Analysts to ensure BI product requirements are grounded in certified data foundations and new analytical capabilities are scoped against available data assets.

Represent the intelligence layer in cross-squad planning sessions, ensuring BI investments are sequenced to support operational and strategic P&SC milestones.

Identify and drive continuous improvement opportunities across the BI tooling stack, reporting processes, and data product governance frameworks.

REQUIRED QUALIFICATIONS:

7-10 years of progressive experience in business intelligence, data analytics, or enterprise reporting roles, supply chain background a plus.

Strong proficiency in Power BI including semantic model design, DAX authoring, and enterprise report publishing; experience with Microsoft Fabric and Fabric IQ strongly preferred.

Proven track record delivering executive-grade reporting products in a large enterprise environment, ideally across supply chain, logistics, procurement, or operations domains.

Deep understanding of the BI data product lifecycle including requirements gathering, metric certification, semantic modeling, testing, and ongoing governance.

Experience operating in complex multi-team environments with dependency management across data engineering, system analysts, and business stakeholders.

Demonstrated ability to lead and develop high-performing BI teams in fast-paced, agile delivery environments.

Proficiency in SQL for data validation, ad-hoc analysis, and semantic model support queries.

Experience with cloud data platforms; Databricks, Azure Data Lake, or Snowflake experience preferred.

PREFERRED QUALIFICATIONS:

Experience with o9 Solutions, SAP Ariba, Oracle ERP, or comparable enterprise supply chain platforms.

Familiarity with Clients supply chain or procurement operations.

Exposure to real-time data streaming, Helix signal frameworks, or operational intelligence platforms.

Background in delivering analytics products in support of P&L or cost optimization reporting

Key Skills

Education

Any Gradute