Connecting Odds
Company

Data Management Strategy & Governance Associate Advisor

Cigna
Hyderabad, IndiaPosted Discovered via the company's careers siteMatch locked
Full time6+ years exp

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

Data Management Strategy & Governance Associate Advisor - HIH - Evernorth

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 science and business analytics teams

so Gold data products serve their models, analyses, and decisions.

  • Partner with

data governance teams

to ensure enterprise standards are consistently implemented

  • Set the design and hold Data Operations standards across

the Hyderabad Data Operations team

and

outside service partners

as part of a global delivery model. What This Role Is Not

  • Not a pure data engineering or platform role.
  • Not the owner of the enterprise Silver model.
  • Not the primary business-engagement or requirements role.
  • Not the owner of the Gold layer, which is democratized across teams.
  • Not a governance policy, stewardship, or BI reporting role.
  • This role exists to

build real data solutions that get used

- designed for the business, engineered to last, delivered through MVP. Required Experience & Capabilities •

6+ 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.

  • Experience in

complex, regulated enterprises

preferred; healthcare or PBM data a plus.

  • Design and implement

automated data observability and reliability reporting

  • Experience working in regulated or compliance‑driven environments

Measures of Success

  • New data reaches a trusted, production-grade asset in a short cycle time.
  • Gold data products are delivered and reused across use cases, with democratized ownership held to a common build standard.
  • Silver builds implement architecture's design faithfully and are handed off without loss of quality.
  • Solutions reach production through governed CI/CD pipelines, clearing quality, security, and cost gates on first pass.
  • Build acceleration through AI and automation is achieved without compromising governance, quality, or security controls.

Work Hours

· 2:30 PM IST to 11.30PM IST Equal Opportunity Statement: Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations.

About Evernorth Health Services

Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.

Not included in the source posting: what you'll do, qualifications, benefits.

Skills

artificial-intelligenceci-cddatabrickssparksqldevopsgenerative-aigitpythonsnowflake

Who can apply

The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.

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