{"id":3264380,"url":"https://alion.io/job/unitedhealth-group-senior-manager-data-analytics","title":"Senior Manager Data Analytics","company":{"id":1043512,"name":"UnitedHealth Group","domain":"unitedhealthgroup.com","url":"https://alion.io/company/unitedhealthgrp","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Radancy","truth_index":{"grade":"B","score":75,"open_postings":130,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Analytics","role_family":"Analytics","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":15500,"max_usd":36000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":702},"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Cognos","optional":false},{"name":"Databricks","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Power BI","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Agentic Workflows","optional":true},{"name":"Agile","optional":true},{"name":"AI Agents","optional":true},{"name":"Azure DevOps","optional":true},{"name":"Human-in-the-Loop","optional":true},{"name":"Python","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-10-26T08:03:14Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-11-03T01:54:23Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"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.\nThe Senior Manager - Data Analytics and AI Enablement will lead an enterprise analytics portfolio spanning business intelligence, reporting, advanced analytics, and insight delivery while helping the organization responsibly adopt AI/ML-enabled capabilities. This role will translate complex business needs into scalable analytics solutions, lead multidisciplinary teams, modernize data and reporting practices, and partner with business, product, data science, engineering, architecture, and governance teams to deliver measurable outcomes.\nThe position requires solid analytics leadership and practical exposure to predictive analytics, machine learning, Generative AI, natural language processing, and intelligent automation. It is designed for a leader who can identify high-value use cases, define business and data requirements, guide evaluation and adoption, and partner effectively with technical specialists; it is not a hands-on AI platform engineering role.\nPrimary Responsibilities:\nAnalytics strategy and portfolio leadership: Define and execute a multi-year analytics roadmap aligned with business priorities; manage dependencies, risks, and measurable value across reporting, BI, advanced analytics, and AI-enabled initiatives\nInsight delivery: Lead the development, enhancement, validation, and operation of dashboards, scorecards, self-service analytics, predictive insights, and decision-support solutions that are accurate, timely, scalable, and actionable\nBusiness partnership: Work with senior business, product, operations, technology, and data leaders to translate strategic questions into prioritized analytics use cases, clear measures of success, and sustainable operating solutions\nPeople leadership: Lead, coach, and develop managers, analytics leads, data analysts, BI professionals, and business analysts; manage capacity, performance, succession, skills development, and delivery commitments\nAnalytics modernization: Advance modern BI, cloud data, reusable metric, semantic model, automation, and self-service practices; reduce fragmented reporting and manual effort in partnership with data engineering and architecture teams\nApplied AI/ML enablement: Identify opportunities where predictive analytics, machine learning, Generative AI, NLP, or intelligent automation can improve decisions, experiences, productivity, or operational outcomes\nAI/ML use-case definition: Convert business challenges into well-defined AI/ML use cases with expected value, data needs, evaluation criteria, human oversight, implementation dependencies, and adoption plans\nCross-functional delivery: Partner with data scientists, AI/ML engineers, architects, product managers, data engineers, and governance teams to develop, validate, operationalize, and monitor AI-enabled analytics solutions\nEvaluation and responsible adoption: Establish business acceptance criteria and support evaluation of analytical and AI outputs for accuracy, relevance, consistency, explainability, traceability, fairness, and operational usefulness\nGovernance and controls: Establish standards for data quality, metric definitions, lineage, access, privacy, security, regulatory compliance, responsible AI, and analytics lifecycle management\nOperational excellence: Monitor service levels, delivery performance, solution adoption, model or insight effectiveness, incidents, risks, and realized business benefits; drive continuous improvement and timely issue resolution\nExecutive communication: Present complex analytical findings, options, risks, and recommendations in clear, decision-oriented language for senior stakeholders\nComply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements\n\nRequired Qualifications:\nBachelor's degree in Data Science, Analytics, Computer Science, Statistics, Information Systems, Engineering, Business Analytics, or a related field, or equivalent professional experience\n12+ years of experience in data, analytics, business intelligence, reporting, technology, or related functions\n5+ years of experience leading analytics, BI, reporting, or data teams, including responsibility for performance, capability development, resource planning, and delivery outcomes\nDemonstrated experience managing an enterprise analytics portfolio and influencing senior business and technology stakeholders\nSolid experience translating complex business needs into analytical solutions, roadmaps, requirements, and measurable outcomes\nExperience with SQL, data analysis, dimensional or semantic data concepts, data visualization, and enterprise reporting\nExperience with BI platforms such as Power BI, Tableau, Cognos, or equivalent technologies\nExperience working with cloud data and analytics platforms such as Snowflake, Databricks, Azure, AWS, or equivalent technologies\nExperience establishing or operating analytics governance, metric governance, data-quality controls, delivery standards, or service-level processes\nPractical exposure to predictive analytics, machine learning, Generative AI, NLP, or AI-enabled business solutions, including defining use cases and partnering with data science or engineering teams\nDemonstrated ability to assess analytical or AI-enabled outputs using business, quality, risk, and adoption criteria\nProven solid executive communication, strategic planning, people leadership, change management, and cross-functional delivery skills\nPreferred Qualifications:\nMaster's degree in Data Science, Analytics, Computer Science, Statistics, Business Analytics, or a related field\nExperience delivering analytics or AI-enabled solutions in healthcare, pharmacy, operations, financial services, or another regulated industry\nExperience creating validation datasets, test scenarios, answer keys, evaluation criteria, or business acceptance frameworks for analytics or AI solutions\nExperience leading analytics modernization, self-service analytics, or BI-to-AI transformation initiatives\nExperience measuring adoption, productivity improvement, operational impact, financial value, or other benefits from analytics investments\nExperience with Agile delivery and work management platforms such as Azure DevOps or JIRA\nWorking familiarity with Python or R for analytics, prototyping, or model evaluation\nUnderstanding of machine learning concepts, feature development, model evaluation, predictive analytics, and model monitoring\nExposure to Generative AI, large language models, Retrieval-Augmented Generation, agentic workflows, NLP, or intelligent automation\nFamiliarity with MLOps, AI governance, responsible AI, human-in-the-loop controls, and AI risk management\nAt 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.","description_format":"text","description_chars":7988,"description_truncated":false,"requirements":{"experience_years_min":12,"management_years_min":5,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Flexible schedule"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Hospitals & Health Systems","Pharmacies","Health Insurance & Benefits"],"lifecycle":[{"event":"open","at":"2026-10-26T08:03:14Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":7,"expected_fill_days":26,"reasons":["conf:4","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-11-03T05:54:40Z"},"pay":null,"html_url":"https://alion.io/job/unitedhealth-group-senior-manager-data-analytics","json_url":"https://alion.io/job/unitedhealth-group-senior-manager-data-analytics.json","meta":{"generated_at":"2026-11-03T06:04:22Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":8236,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-04T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1043512},"rest":"https://alion.io/mcp/rest/get_company?id=1043512"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Funitedhealth-group-senior-manager-data-analytics"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Funitedhealth-group-senior-manager-data-analytics"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Funitedhealth-group-senior-manager-data-analytics"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/unitedhealth-group-senior-manager-data-analytics\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Funitedhealth-group-senior-manager-data-analytics"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3264380}},{"tool":"search_jobs","arguments":{"company":"unitedhealthgroup.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3264380},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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