Senior Consultant, Analytics Governance

cargill • Shorewood, MN

1d • $105,000 - $160,000

About The Position

The Senior Consultant, Analytics Governance
is responsible for
designing, operationalizing, and scaling governance guardrails across the analytics ecosystem. This role ensures trusted, reusable, discoverable, and well-managed analytics assets, including semantic models, data products, reports, dashboards, and GenAI-enabled analytics across a federated enterprise environment. The role partners closely with Data Engineering,
Data &
Analytics teams, Product Owners, Platform teams, and Risk/Compliance stakeholders to embed governance into the analytics lifecycle. The
objective
is to grow enterprise trust in analytics, increase reuse of certified assets, streamline lifecycle management, and reduce time to insights. This position requires strong influence skills, deep knowledge of modern BI ecosystems (e.g., Power BI), metadata strategy, and experience governing both traditional analytics and emerging GenAI-enabled use cases.

Requirements

• Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.
• Strong experience with Power BI (semantic models, workspaces, deployment pipelines, governance practices).
• Experience designing or operationalizing analytics governance frameworks.
• Experience working in a federated analytics or data organization.
• Demonstrated experience influencing cross-functional stakeholders without direct authority.

Nice To Haves

• 7+ years in analytics, BI, data governance, or related field.
• Experience with enterprise data catalogs and metadata management tools.
• Experience governing semantic layers and enterprise metrics.
• Exposure to GenAI, AI governance, or responsible AI frameworks.
• Familiarity with data classification standards and regulatory requirements.
• Experience supporting self-service analytics at scale.

Responsibilities

• Analytics Guardrails & Governance: Define and evolve governance standards for semantic models, data products, dashboards, reports, and workspaces. Establish certification, endorsement, quality, testing, versioning, documentation, and lifecycle policies that balance control with agility.
• Certification & Reusability: Lead the certification framework for semantic models, curated datasets, and enterprise reports. Set criteria for trusted assets, drive reuse to reduce duplication, and improve discoverability of standardized metrics.
• Metadata Strategy: Partner with Data Engineering to unify business and technical metadata. Define standards for definitions, lineage, ownership, stewardship, and data classification. Ensure metadata supports discoverability, compliance, and alignment across the semantic layer and reporting tools.
• GenAI Analytics Governance: Create guardrails for GenAI-enabled analytics and self-service AI, ensuring alignment with data classification and access controls.
• Power BI Workspace Governance:Define workspace structures, access roles, lifecycle rules, archival processes, and usage monitoring. Promote semantic model best practices to reduce duplication and improve report discoverability.
• Lifecycle & Asset Management: Establish end-to-end governance for analytics assets—from intake and build, through certification and promotion, to monitoring and retirement. Implement clear ownership and scalable processes.
• Stakeholder Engagement & Change Enablement: Advise creators, leaders, and technical teams. Provide training and office hours to foster adoption of governed, reusable analytics. Measure impact through KPIs such as reuse, certification rates, and reduced duplication.

Benefits

• At Cargill we put people first. As part of your overall rewards, we offer a comprehensive benefit program including medical and/or other benefits dependent on the position offered and hours worked.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed