Senior Data Analyst
Optum India · Chennai, Tamil Nadu, India
- On site
- Full-time
- $120,000 / year
- Chennai, Tamil Nadu, India
Job highlights
- Implement data governance policies and AI automation.
- Design and build automation for governance workflows.
- Configure and operationalize governance controls.
- Develop reusable AI components for compliant adoption.
- Partner with stakeholders to translate requirements.
About the role
About Optum
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
Primary Responsibilities
- Implement Data Governance policies and standards within the HCP Data Catalog solution to enable CrimsonAI use cases.
- Design and build AI-enabled automation to streamline governance workflows (e.g., metadata onboarding, approvals, stewardship routing, exception handling).
- Configure and operationalize governance controls (data classification, glossary alignment, lineage, ownership, retention, access/usage rules) as embedded platform capabilities.
- Develop reusable AI components (prompts/templates, validation checks, evaluation criteria, guardrails) to support consistent and compliant AI adoption.
- Partner with Data Stewards, Product Owners, Engineering, Security, Privacy, and Compliance to translate governance and regulatory requirements into technical solutions.
- Create and maintain scalable metadata models, business glossary artifacts, and standardized definitions to support CrimsonAI modules and downstream consumers.
- Build quality and compliance monitoring signals (policy adherence, completeness of metadata, anomaly detection) and enable reporting for governance KPIs.
- Perform testing and validation of AI-driven governance features to ensure accuracy, explain ability, auditability, and alignment with enterprise standards.
- Document solution designs, operational runbooks, and support procedures; provide knowledge transfer to sustain ongoing operations.
- Troubleshoot production issues related to catalog integrations, metadata pipelines, and governance workflow automation; drive root-cause analysis and remediation.
- Continuously identify opportunities to reduce manual governance touchpoints and improve time-to-delivery for CrimsonAI product releases.
- Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives.
Required Qualifications
- Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field (or equivalent practical experience).
- 5+ years of experience in data governance, data management, data engineering, or building data platform capabilities in an enterprise environment.
- Hands-on experience implementing governance standards within a data catalog and/or metadata management platform (e.g., defining glossary, ownership, classification, lineage, stewardship workflows).
- Experience building automation for workflow-driven processes (APIs, scripting, rules engines, orchestration tools) to reduce manual operational effort.
- Solid understanding of data controls and risk domains: privacy, security, compliance, retention, access management, and auditability.
- Proficiency with one or more programming/scripting languages (e.g., Python, SQL; plus Java/Scala a plus) and experience integrating with APIs/services.
- Proven ability to translate policy and business requirements into technical designs, measurable controls, and platform features.
- Proven communication skills and proven ability to partner across product, engineering, and governance stakeholders.
Company Mission
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
Key skills/competency
- Data Governance
- Data Catalog
- AI Automation
- Metadata Management
- Python
- SQL
- Data Engineering
- Compliance
- Risk Management
- API Integration
Skills & topics
- Data Analyst
- Senior Data Analyst
- Data Governance
- Data Management
- Data Engineering
- AI
- Automation
- Python
- SQL
- Metadata
How to get hired
- Tailor your resume: Highlight your 5+ years of data governance and data platform experience, showcasing specific achievements in data catalog implementation and automation.
- Showcase technical skills: Emphasize your proficiency in Python, SQL, and experience with APIs, along with your understanding of data controls and risk domains.
- Quantify your impact: Use data and metrics to demonstrate how your work improved efficiency, compliance, or outcomes in previous roles.
- Prepare for technical questions: Be ready to discuss your experience with data catalogs, metadata management, and AI-driven governance solutions.
- Understand the mission: Articulate how your skills align with Optum's goal of improving health outcomes and health system efficiency.
Technical preparation
Master Python and SQL for data manipulation.,Understand data catalog and metadata management.,Practice building automation workflows.,Review data governance and risk concepts.
Behavioral questions
Describe a complex data governance challenge.,How do you ensure data accuracy and compliance?,Give an example of automating a manual process.,How do you collaborate with cross-functional teams?
Frequently asked questions
- What are the key responsibilities for a Senior Data Analyst at Optum India?
- As a Senior Data Analyst at Optum India, you will be responsible for implementing data governance policies, designing and building AI-enabled automation for governance workflows, configuring governance controls, developing reusable AI components, and partnering with various stakeholders to translate requirements into technical solutions. You will also be involved in creating metadata models, building monitoring signals, performing testing and validation, documenting solutions, and troubleshooting production issues.
- What qualifications are required for the Senior Data Analyst position at Optum India?
- The required qualifications include a Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field (or equivalent practical experience). You'll need at least 5 years of experience in data governance, data management, data engineering, or data platform capabilities. Hands-on experience with data catalogs, metadata management platforms, building automation for workflow-driven processes, and proficiency in programming/scripting languages like Python and SQL are essential.
- What is the role of AI in this Senior Data Analyst position at Optum India?
- AI plays a significant role in this position. You will be designing and building AI-enabled automation to streamline governance workflows, developing reusable AI components for consistent and compliant AI adoption, and performing testing and validation of AI-driven governance features. The goal is to leverage AI to improve efficiency and accuracy in data governance processes.
- How does Optum India focus on health outcomes and community impact?
- Optum India is dedicated to improving health outcomes by connecting people with the care, pharmacy benefits, data, and resources they need. The company's mission is to help people live healthier lives and make the health system work better for everyone, with a commitment to equitable care and addressing health disparities.
- What kind of technical skills are essential for a Senior Data Analyst at Optum?
- Essential technical skills include proficiency in data governance principles, data catalog and metadata management platforms, and building automation for workflow-driven processes. You should have hands-on experience with programming/scripting languages like Python and SQL, and ideally experience with APIs/services. A solid understanding of data controls and risk domains is also crucial.