Data Ops - Data Builder

This Data Management Strategy & Governance Advisor , offers an exciting opportunity to build on your strengths, expand your impact, and continue growing within the organization. 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 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. • 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. • Set the design and hold Data Operations standards across the Hyderabad Data Operations team and outside service partners as part