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Data Ops - Data Builder

Job in Bloomfield, Hartford County, Connecticut, 06002, USA
Listing for: The Cigna Group
Full Time position
Listed on 2026-10-23
Job specializations:
  • Software Development
    Data Engineering
Job Description & How to Apply Below
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 product ionize - 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 Dev Ops & 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…
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