Leads Portfolio Governance & PMO for Global Operations at Agilent Technologies. Ensuring strategic alignment and oversees execution of large - scale transformation initiatives across multiple areas.
About the role
- Senior Consultant responsible for analytics governance in a federated enterprise environment at Cargill. Collaborating with technical teams to ensure certified and reusable analytics assets.
Responsibilities
- Designing, operationalizing, and scaling governance guardrails across the analytics ecosystem.
- Ensuring trusted, reusable, discoverable, and well-managed analytics assets.
- Partnering closely with Data Engineering, Data & Analytics teams, Product Owners, Platform teams, and Risk/Compliance stakeholders.
- Defining and evolving governance standards for semantic models, data products, dashboards, reports, and workspaces.
- Leading the certification framework for semantic models, curated datasets, and enterprise reports.
- Creating guardrails for GenAI-enabled analytics and self-service AI.
- Establishing end-to-end governance for analytics assets and implementing clear ownership and scalable processes.
- Advising creators, leaders, and technical teams and providing training to foster adoption of governed, reusable analytics.
Requirements
- Minimum requirement of 4 years of relevant work 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.
- Preferred Experience 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.
Benefits
- Comprehensive benefit program including medical and/or other benefits dependent on the position offered and hours worked.
- Discretionary incentive award based on company and personal performance.
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