Data Management Strategy & Governance Lead Analyst - HIH - Evernorth

Overview

Build production-grade data products by turning architectural designs and business requirements into trusted, reusable Silver and Gold assets, delivered through MVP. This is a hands-on individual contributor role within the Hyderabad Data Operations team.

What you'll do

• Build architecture's designs and analysis's requirements into production-ready solutions through MVP.
• Work new and unfamiliar data quickly into a working solution that answers the business question at hand.
• Refactor learning-stage and bespoke work into durable, reusable, production-ready assets.
• Build the physical Silver structures to the enterprise-agnostic Silver model and reference patterns designed by Data Architecture.
• Promote Silver builds to production through governed CI/CD pipelines, and capture business context and metadata at build.
• Deliver Gold solutions through build-through-MVP, promoted to production-grade through governed CI/CD pipelines regardless of owner.
• Uphold the build standards and guardrails any Gold solution must meet, so a federated Gold layer stays stable and production-grade.
• Build to production standards from day one, applying consistent development patterns, naming conventions, and build standards.
• Move work through the CI/CD pipeline (develop, test, productionize), clearing quality, security, and cost checks on first pass.
• Apply AI and automation to accelerate build and testing without bypassing governance, security, or quality expectations.
• Partner with Data Architecture, Data Analysis, Products & Integration, Platform Engineering / IT, DevOps & AI Enablement, data science and business analytics teams, and the data governance team.
• Set the design and hold Data Operations standards across the Hyderabad Data Operations team and outside service partners.

What you'll need

• 3+ years building production-grade data solutions, with demonstrated depth in analytics engineering or equivalent business-plus-build work.
• A genuine 50/50 blend of business fluency and hands-on engineering discipline.
• Hands-on experience with Databricks, Spark, Unity Catalog, SQL, and Python.
• Familiarity with Snowflake and Teradata in addition to a Databricks-first stack.
• Expert knowledge of dimensional and medallion (Silver / Gold) modeling within an enterprise-agnostic data model.
• Working knowledge of CI/CD pipelines, automated code evaluation, and controlled promotion to production.
• Strong software-engineering discipline: version control (Git), code review, and efficient, reusable code.
• Performance-tuning and cost-optimizing Spark and SQL transformations at scale.
• Familiarity with data governance and cataloging tooling such as Collibra.
• Automated data-quality testing and validation built into every solution.
• Demonstrated ability to learn a new data domain fast and turn business logic into reusable data products.
• Demonstrated ability to apply AI and automation to accelerate build while preserving quality and governance.
• Design and implement automated data observability and reliability reporting.
• Experience working in regulated or compliance-driven environments.

Nice to have

• Experience in complex, regulated enterprises.
• Healthcare or PBM data experience.

Details

• Location: Hyderabad, India.
• Work hours: 2:30 PM IST to 11:30 PM IST.