Requisition Number: 2363272 At UnitedHealthcare, we're simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and optimized. Ready to make a difference? Join us to start Caring. Connecting. Growing together UHC Technology is focused on driving change, modernization, and ensuring reliable and stable systems so that we can help to transform health care - making it easier, more affordable, and more effective for those we serve. We are passionate about technology and the role it plays to create distinctive experiences to our constituents. While we are always focused on how technology can help us deliver faster and with improved quality, we are far more enthusiastic about the ways technology can reinvent how we deliver on our mission in partnership with the UHC lines of business and Optum Technology. The Senior Director, Software Engineering - UCH C&S Core Strategic Platforms is a technology leader responsible for overseeing the end to end delivery, stability, modernization, and security of Community & State (C&S) core platform capabilities-including Eligibility, Claims, and associated ancillary applications. This leader drives platform strategy, operational excellence, modernization initiatives, AI powered engineering capabilities, and transparent reporting across KPIs, outcomes, and risks. The role requires collaboration with senior executives, business partners, and global engineering teams to ensure platforms are resilient, scalable, compliant, and continuously improving. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities: Platform Leadership & Strategy - Lead the strategy, roadmap, and execution for C&S core platforms, including Eligibility, Claims, and related ecosystem applications - Develop a clear modernization vision and guide teams toward cloud-aligned, API driven, and AI enhanced target states - Drive architectural alignment, technology standards, and reuse across the platform portfolio - Serve as a senior technology advisor to business and functional leadership Operational Excellence & Stability - Ensure the performance, availability, and stability of all core platform services - Lead incident management, problem management, and root cause analysis efforts - Establish rigorous SLAs, operational dashboards, and proactive monitoring practices - Partner with SRE, Infrastructure, and Production Support teams to maintain reliability at scale Security, Compliance, & Risk Management - Maintain a solid security posture across applications, data flows, and integrations - Ensure platforms adhere to regulatory standards (including Medicaid and broader healthcare compliance) - Identify, assess, and mitigate technology risks across systems and delivery practices Programs, Delivery & Modernization - Lead major strategic programs such as platform modernization, re platforming, migrations, AI enablement, and tech debt reduction - Oversee delivery execution across multiple teams, ensuring on time, high-quality outcomes - Establish frameworks to measure program success, value realization, and adoption Metrics, KPIs, Insights & Reporting - Define and manage KPIs related to stability, throughput, quality, operational risk, modernization progress, and security compliance - Deliver clear, data driven reporting and insights to senior leadership - Use AI/ML-driven analytics to enhance operational intelligence and decision making People Leadership & Global Team Management - Lead, mentor, and develop high-performing engineering, product, and delivery teams across global locations - Foster a culture of innovation, accountability, continuous learning, and partnership - Attract diverse talent and build succession-ready leadership pipelines You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - 10+ years of progressive technology experience in large-scale enterprise environments - 5+ years in senior leadership roles such as Senior Manager or Director overseeing engineering or platform delivery teams - 5+ years of experience applying AI/ML in engineering, automation, or platform solutions - 5+ years of experience leading modernization initiatives (cloud, API, microservices, automation, digital transformations) - 5+ years of experience managing global teams across multiple time zones - Experience leading Eligibility, Claims, or other core healthcare platforms Preferred Qualifications: - Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience) - Advanced degree in Technology, Engineering, Business, or related field - Proven solid understanding of healthcare systems, data flows, regulatory constraints, and operational models - Medicaid platform, policy, or regulatory experience - Experience with large-scale Claims engines, Eligibility platforms, SOR modernization, or cloud migration programs - Demonstrated experience partnering with senior executives and influencing enterprise level decisions *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $159,300 to $273,200 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. 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. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment. #optumtechpj #BI-Hybrid

Role Description The AI Engineering Manager leads a cross-functional team (Development & QA) and owns technical architecture, delivery outcomes, AI-enabled system design and driving an AI first culture among your team. This role is both strategic and hands-on. It requires strong expertise in modern AI frameworks, applied AI architectures, and scalable system design. The manager is accountable for delivering stable, secure, AI-powered capabilities — not just managing execution. Core Responsibilities - Technical Leadership & Architecture - Own product architecture, including AI/LLM-integrated components - Design scalable, secure, and maintainable systems - Lead decisions involving: - LLM integration (OpenAI, Azure OpenAI, etc.) - RAG architectures and vector databases - AI orchestration frameworks (LangChain, Semantic Kernel, LlamaIndex) - Ensure system reliability, observability, and cost efficiency - Establish AI governance and safe usage practices - AI Framework & Methodology Expertise - Apply modern AI methodologies, including: - Retrieval-Augmented Generation (RAG) - Prompt engineering and evaluation - AI output validation and guardrails - Human-in-the-loop workflows - Model monitoring and performance evaluation - Drive experimentation, A/B testing, and telemetry-based decision making - Team Leadership - Lead and mentor developers and QA engineers - Raise AI literacy across the team - Establish AI-native coding and review standards - Balance speed, quality, and architectural integrity - Delivery & Outcome Ownership - Own predictable, high-quality releases - Ensure AI features are measurable, validated, and production-ready - Act as technical escalation point - Drive cross-team alignment with Product, Data, and DevOps - AI-Driven Engineering Excellence - Leverage AI-assisted development tools to improve velocity - Optimize AI cost-performance tradeoffs - Embed automation into testing and CI/CD pipelines Qualifications - 7+ years software engineering experience, 2+ years in technical leadership - Hands-on experience building and deploying AI-enabled systems - Strong knowledge of: - LLM integration and prompt design - RAG architectures and vector search - AI orchestration frameworks - Cloud platforms (Azure, AWS, or GCP) - Experience designing scalable distributed systems Preferred - Experience in regulated industries - AI governance and compliance knowledge - Model lifecycle management and monitoring tools Company Description Anju Software delivers end-to-end solutions for the life sciences industry, supporting clinical trials, medical affairs, and scientific data management with precision, compliance, and operational rigor. Our products help pharmaceutical, biotech, and medical device companies bring therapies to market faster and more efficiently. Anju is part of Valsoft Corporation, a global acquirer and operator of vertical market software businesses. Valsoft invests with a long-term mindset, empowering each company to operate autonomously while benefiting from shared capital and operational expertise. We are entering a new phase of growth, focused on embedding AI deeply into our systems and workflows. We are excited to add talent who will help lead our transformation into a truly agentic, automation-driven organization that redefines how work gets done in life sciences.

We're hiring an Engineering Manager for the Catalog team — the system of record for every product sold on the platform. The team owns the product data model, taxonomy and attribution, data quality, and the browse and filtration experience that turns catalog data into discovery. This is a player-coach role. You'll manage a team of engineers — hiring, growing, and holding the bar — while staying hands-on enough to review schemas, challenge query plans, and shape architecture through written RFCs rather than by taking delivery work yourself. Catalog reads sit on the hottest path of every storefront request, and catalog data quality directly drives filtration depth, feed approval, SEO eligibility, and merchant GMV. You'll be expected to lead through earned authority: influence built on judgment, consistency, and care — not the reporting line. **What You'll Own** **Product Data & Attribution** - The catalog data model — products, variants, media, pricing, availability — correct on write, fast on read, at the scale of merchants running 100k+ SKUs on shared infrastructure - Attribute architecture: category-scoped schemas, multilingual values, merchant-defined custom fields - Coexistence of merchant category trees with a canonical platform taxonomy - Data quality as a measurable system: completeness scoring, identifier coverage, enrichment loops that lift feed approval and conversion **Filtration & Indexing** - Faceted navigation with accurate counts, category listing performance, sort/ordering at scale - The pipeline from product mutation to searchable document — event-driven updates, freshness SLAs, zero-downtime reindexing - The index contract that relevance is built on, in partnership with the Search team (who own query-side ranking) **What You'll Manage** - Own hiring end-to-end; raise the bar with every offer - Build growth plans tied to the domain's hardest problems; run honest performance management, difficult conversations included - Protect the team's focus — predictable scoping and sequencing, and the willingness to say no with reasons - Own the tech-debt roadmap as a standing capacity allocation, backed by postmortems and engineering health metrics - Own incident response and observability of the domain itself — feed rejection rates, index lag, facet latency, not just server health - Partner daily with Product, Storefront, Search, and channel-feed teams

• Lead, grow, and coach a Platform Engineering team, hiring and developing engineers from junior through staff level. • Own roadmap delivery and technical quality for platform capabilities spanning cloud infrastructure, Kubernetes, CI/CD, observability, and developer tooling. • Champion a “platform as a product” mindset — treat internal developers as customers, gather feedback, and prioritize based on developer experience (DevEx) impact. • Own operational excellence for the team's services: on-call philosophy, incident response, and blameless post-mortems, fostering psychological safety after production incidents. • Evaluate build-vs-buy decisions for internal tooling versus third-party SaaS solutions. • Operate within a regulated environment — ensure delivery speed does not compromise compliance or security requirements (e.g., GLI, state/country betting & gaming regulations) in CI/CD and infrastructure changes. • Evaluate and help roll out AI-assisted engineering tools (e.g., AI coding assistants, log analysis) across the distributed team without compromising security. • Communicate platform health, roadmap, and outcomes clearly to engineering leadership and stakeholders using business and platform success metrics.