Technical director

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 diversity and inclusion, talented peers, comprehensive benefits, and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Product Management leader should be able to define and drive the roadmap of AI-powered products by translating customer needs and market opportunities into scalable, technically feasible solutions, while aligning closely with engineering and research teams.Product Management Core Discipline

• Able to work independently through each stage of the product lifecycle, building proficiency in developing and executing strategies based on market needs and profitability. May support a single product independently or support multiple products.
• Clearly articulates vision and roadmaps to engineering team. Should be able to relate tasks / activities with overall product vision and strategy.
• Analyzes data from KPIs and recommends appropriate actions
• Explains competitive landscape and how product fits into it. Owns product holistically and anticipates what is happening in the market and plans and executes on insights learned. Translates data into a compelling business case and customer story
• Uses creative thinking to solve problems.
• Ability to provide alternative solutions to achieve the objective
• Works with matrix partners to translate required capabilities into concrete operational processes and measurement plans. Validates requirements with marketplace via pilots and beta groups. Pro-actively identifies needs / priorities of audience and provides relevant information when sharing insights, including facts and explanation of decision-making criteria
• Tells the story of the product both internally and externally.
• Provides subject matter expertise. Joins sales team on calls to offer expertise
• Stays current on market trends and related competitors
• Understands how the solution will be sold and related customer purchase cycles
• Quantifies and defines product opportunity by market segmentation
• Considers customer experience and perspective in all aspects of decisions and actions
• Leads applicable financial analyses to drive product planning and management (e.g., cost / benefit analysis, revenue potential / forecasts, P / L, budgets, membership / volume forecasts)
• Understands capital requirements and aligns with operating calendar
• Must have experience of Saa S / cloud architecture and delivery model
• Understands capital requirements and aligns with operating calendar
• Good exposure of AI / ML concepts and ability of identify right business use case for AI / ML or Generative AI implementations Must Have Skills :
• Educational Qualifications : B. Tech / MCA / MTECH / MS Graduation (MBA preferred)
• Excellent communication skills including the ability to translate technical concepts into marketable benefits
• AI fluency (LLMs, ML lifecycle, Gen AI capabilities)
• Product strategy, customer empathy, agile delivery
• Metrics-driven decision-making (A / B testing, KPIs)
• Competitive analysis and market research Page 3 of 3
• Product Strategy & Vision : Ability to define and communicate a clear product vision aligned with business goals and AI capabilities
• Roadmap Planning : Experience in building and managing product roadmaps, especially for AI / ML-driven features
• Stakeholder Collaboration : Strong cross-functional collaboration with engineering, data science, design, and business teams
• Translating AI Capabilities into Business Value : Ability to convert complex AI concepts into tangible product features that solve real user problems
• Ethical AI & Governance Awareness : Understanding of responsible AI principles, data privacy, and model transparency