# Data Management Strategy & Governance Advisor **Company**: The Cigna Group **Experience**: senior **Job type**: full-time **Salary**: 102,400 - 170,600 USD / yearly **Category**: Data Science **Industry**: Healthcare **Apply**: https://cigna.wd5.myworkdayjobs.com/en-US/cignacareers/job/United-States-Work-at-Home/Data-Ops---Data-Builder_26012698?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_459d6f41-971 ## Description This Data Management Strategy & Governance Advisor role offers an exciting opportunity to build on your strengths, expand your impact, and continue growing within the organization. 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 Senior 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. **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. - 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** - 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. - Experience in complex, regulated enterprises preferred; healthcare or PBM data a plus. **Measures of Success** - New data reaches a trusted, production-grade asset in a short cycle time. ## Skills ### Required - Databricks - Spark - Unity Catalog - SQL - Python - Snowflake - Teradata - Collibra - Git --- Source: [Apply at cigna.wd5.myworkdayjobs.com](https://cigna.wd5.myworkdayjobs.com/en-US/cignacareers/job/United-States-Work-at-Home/Data-Ops---Data-Builder_26012698?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)