Data Ops Lead: MVP to Production Data Builder

The Cigna Group; United States; Hybrid; USD 115,000 - 192,000; Full time

Benefits offered by this job

Health benefits

401(k)

Tuition reimbursement

Paid time off

Job summary

The Cigna Group is seeking a Data Management Strategy & Governance Senior Advisor. This role leads hands-on data product construction (Silver/Gold) from architectural designs, ensuring production-grade, reusable assets while aligning with governance and AI-enabled automation.

You will partner across Data Architecture, Analysis, Platforms, and DevOps to accelerate delivery. You will drive production readiness, establish scalable data models, and promote assets through CI/CD pipelines in a

Qualifications

• 7+ years building production-grade data solutions.
• 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.

Responsibilities

• Rapid Build & Delivery: Build architecture’s designs and analysis’s requirements into production-ready solutions through MVP.
• Rapid Build & Delivery: Work new and unfamiliar data quickly into a working solution that answers the business question at hand.
• Rapid Build & Delivery: 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.
• Silver — Build to Architecture’s Design: Implement the design faithfully and promote it to production through governed CI/CD pipelines .
• Silver — Build to Architecture’s Design: 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.
• Gold — Democratized, Delivered Through MVP: Deliver Gold solutions through build-through-MVP , promoted to production-grade through governed CI/CD pipelines regardless of owner.
• Gold — Democratized, Delivered Through MVP: 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.
• Engineering Discipline & Production Readiness: 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.
• Engineering Discipline & Production Readiness: Move work through the CI/CD pipeline — develop, test, and productionize — clearing quality, security, and cost checks on first pass.
• Engineering Discipline & Production Readiness: 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.
• Partnership & Collaboration: Partner with Data Analysis, Products & Integration — who bring the requirements, business rules, and acceptance criteria this role builds against.
• Partnership & Collaboration: Partner with Platform Engineering / IT and DevOps & AI Enablement — who own ingestion, pipelines, and the automation frameworks this role builds on.
• Partnership & Collaboration: Partner with data science and business analytics teams so Gold data products serve their models, analyses, and decisions.
• Partnership & Collaboration: 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.

Skills

Databricks

Spark

Unity Catalog

SQL

Python

Snowflake

Teradata

CI/CD pipelines

Data governance

AI automation

Data modeling (Silver/Gold)

Git

Tools

Databricks

Spark

Unity Catalog

SQL

Python

Job description

The Cigna Group is seeking a Data Management Strategy & Governance Senior Advisor. This role leads hands-on data product construction (Silver/Gold) from architectural designs, ensuring production-grade, reusable assets while aligning with governance and AI-enabled automation.

You will partner across Data Architecture, Analysis, Platforms, and DevOps to accelerate delivery. You will drive production readiness, establish scalable data models, and promote assets through CI/CD pipelines in a