Evernorth
Healthcare
DataAnalyticsOperationsLeadAnalyst-HIH-Evernorth
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“Data Analytics Operations Lead Analyst-HIH-Evernorth at Evernorth. Skills: Data Specifications, Metadata Management, Data Governance, Data Lineage. Lead identification and documentation of data specifications. Gather, define, and maintain business metadata”
What You'll Achieve.
Ensure data assets are documented; Ensure data assets are governed; Ensure data assets are discoverable; Ensure data assets are trusted; Ensure data sources meet expectations
Industry & Context.
Impact analysis; Change management
What They're Looking For.
Must Have
5-6 years data management experience, 5-6 years data operations experience, 5-6 years business analysis experience, 5-6 years analytics enablement experience, Document data specifications, Document source tables, Document lineage, Document metadata, Hands-on Collibra experience, Understand enterprise data architectures, Understand analytic consumption patterns, Understand reporting consumption patterns, Understand data certification, Understand governed data products, Translate technical structures to business metadata, Translate technical structures to documentation, Work with business stakeholders, Work with analytic users, Work with data engineers
Nice to Have
Platinum data sources experience, Tier-0 data sources experience, Certified enterprise data sources experience, Data observability familiarity, Data reliability concepts familiarity, Document end-to-end lineage, Document data architectures, Experience in regulated data domains, Experience in compliance-driven data domains, DataOps organization experience, Product-oriented data organization experience
What You'll Do.
Lead identification and documentation of data specifications
and maintain business metadata
Ensure metadata is complete
and govern data specifications
Support governance workflows
Partner to ensure data sources meet expectations
Document logical and physical data lineage
Capture and maintain data architecture artifacts
Define and automate data observability specifications
Define and automate data observability reporting
Act as liaison between teams
Facilitate specification walkthroughs
Facilitate design reviews
Facilitate metadata validation sessions
Support analytic teams
Support reporting teams
How You'll Work.
Team & Collaboration
Business stakeholders; Analytic teams; Data engineering; Business; Analytics; Governance; Engineering teams; Data owners; Data stewards; Governance teams; Platform teams
Communication Scope
Business translation; Technical translation
Full Job Description
**Data Operations Associate Advisor (Platinum Data Specifications & Governance)** **Experience Level** **8-11 years** in Data Management, Data Operations, or Enterprise Analytics Enablement **Role Summary** The Data Operations Business Analyst is responsible for defining, capturing, and operationalizing **data specifications and business metadata** for **Platinum‑level enterprise data sources**. This role focuses on the detailed documentation of source tables, data structures, lineage, and business meaning, ensuring that critical enterprise data assets are fully specified, governed, and discoverable within enterprise data governance platforms. The role partners closely with business stakeholders, analytic teams, and data engineering to translate enterprise data assets into **well‑documented, observable, and trusted data products** , with specifications maintained centrally in governance and metadata management tools such as **Collibra**. **Key Responsibilities** **Data Specification & Metadata Capture** * Lead the identification and documentation of **data specifications** for Platinum‑level enterprise data sources, including: * Source systems and source tables * Key data elements and attributes * Transformation logic and dependencies * End‑to‑end data lineage * Gather, define, and maintain **business metadata** , including: * Business definitions and terminology * Metric descriptions and business context * Data ownership and stewardship assignments * Ensure both **business and technical metadata** are complete, accurate, and aligned to enterprise standards. **Enterprise Data Governance Enablement** * Ensure all data specifications and metadata are **registered, maintained, and governed** within enterprise data governance tools, with a primary focus on **Collibra**. * Support governance workflows including: * Data asset onboarding and certification * Business glossary curation * Stewardship reviews and approvals * Partner with data owners, stewards, and governance t
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