Data Management Strategy & Governance Lead Analyst - HIH - Evernorth

Cigna; Hyderabad; Presencial; INR 1.800.000 - 3.200.000; Jornada completa

Descripción de la vacante

Evernorth Health Services India in Hyderabad seeks a Data Management Strategy & Governance Lead Analyst to translate architecture and business requirements into scalable data products. This hands-on role reports to the Director, Data Operations & Data Management and focuses on gold and silver data layers.

You will collaborate with Data Architecture, Data Analysis, and IT Platform Engineering to ensure production-grade delivery, governance, and CI/CD readiness, while applying AI and automation to

Responsabilidades

• Translate architectural designs and business requirements into production-grade data products
• Collaborate with Data Architecture and Data Analysis to deliver Silver and Gold data assets
• Ensure production readiness with CI/CD pipelines, governance, security, and cost controls
• Apply AI and automation to accelerate build and testing while maintaining governance

Descripción del empleo

Data Management Strategy & Governance Lead Analyst - HIH - Evernorth

INTRODUCTION TO EVERNORTH:

Evernorth Health Services India, established in Hyderabad in 2024, is an innovation hub for Evernorth Health Services, the pharmacy, care and benefits division of The Cigna Group. The innovation hub will support innovation-focused areas, such as generative AI, product development, process improvement, analytics, and software engineering across The Cigna Group and its businesses. Evernorth Health Services India builds on The Cigna Group's existing presence in India.

About Evernorth Health Services:

Evernorth Health Services (Evernorth) is the pharmacy, care and benefits solution division of The Cigna Group - a Fortune 16 global health company with 75,000 employees, 186 million customers in more than 30 countries and jurisdictions around the world. Evernorth exists to make the prediction, prevention, and treatment of illness and disease more accessible to millions of people. We do this by creating and connecting premier health services offerings, such as benefits management, pharmacy, care solutions, insights and intelligence.

About Cigna:

The Cigna Group is a global health company committed to improving the health and vitality of individuals and communities around the world and includes products and services marketed under its Cigna Healthcare and Evernorth Health Services subsidiaries. Cigna Healthcare is the health benefits provider of The Cigna Group, serving customers and clients through its U.S. Employer, U.S. Government, and International Health business. Evernorth Health Services is the pharmacy, care and benefits solution division of The Cigna Group

Job Description

The Data Builder is the hands-on builder responsible for turning architectural design and business requirements into trusted, reusable data products through MVP that are production grade. Reporting to the Director, Data Operations & Data Management, this role builds to the enterprise-agnostic Silver foundation designed by Data Architecture and co-designs and builds Gold data products where business logic, metrics, and functional knowledge live.

This is a hands-on individual contributor role - the build authority that blends business fluency and data engineering discipline in equal measure , authoring Gold data products that answer the question the first time and building them to production standard.

This role is a critical execution counterpart to Data Architecture and Data Analysis, Products & Integration , building faithfully against their designs and requirements and compressing the path from new data to a production-grade, reusable asset. It is an exciting opportunity to join the team transforming how Cigna builds and reuses data - delivered through MVP.

Key Responsibilities

• Rapid Build & Delivery
  • 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.
• Silver - Build to Architecture's Design
  • Build the physical Silver structures to the enterprise-agnostic Silver model and reference patterns designed by Data Architecture.
  • Implement the design faithfully and promote it to production through governed CI/CD pipelines .
  • Capture business context and metadata at build, and hand off to trusted partner teams as readiness allows.
• Gold - Democratized, Delivered Through MVP
  • Treat the Gold layer as democratized - Data Operations may own specific Gold assets and assists other teams in building theirs.
  • 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 across owning teams.
• Engineering Discipline & Production Readiness
  • Build to production standards from day one so the lift from MVP to production is simple, not a rebuild.
  • Apply consistent development patterns, naming conventions, and build standards with specific focus on the connectivity across all data products to create a more connected data ecosystem.
  • Move work through the CI/CD pipeline - develop, test, and 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.
• Partnership & Collaboration
  • Partner with Data Architecture - building to their Silver design and co-designing Gold within the standards they set.
  • Partner with Data Analysis, Products & Integration - who bring the requirements, business rules, and acceptance criteria this role builds against.
  • Partner with Platform Engineering / IT and DevOps & AI Enablement - who own ingestion, pipelines, and the automation frameworks this role builds on.
  • Partner with data scie