Optum is seeking a visionary leader to drive Data Science Group's strategic initiatives, focusing on innovation and collaboration, to transform research into production-ready solutions and lead a globally distributed team, ultimately delivering better experiences for consumers and advancing value-based care.
Requirements
- 10+ years of experience in data science, machine learning, or AI
- 8+ years of hands on experience with AI frameworks including experience working on PyTorch, Vector Databases, Transformers, and Deep Learning architectures
- 2+ years of hands on experience with Generative AI, State Space Models, LLMs, Foundational Language Model Training
- Demonstrated experience of machine learning, statistical modeling
- Experience with cloud-based model deployment (e.g., AWS, Azure, GCP)
- Proven track record of driving research and innovation in data science to solve complex business problems
- Demonstrated ability to deliver measurable business outcomes, such as scaling AI products to achieve revenue targets
Responsibilities
- Define and drive the vision and strategy for the Data Science Group, aligning with overall business objectives and enterprise-wide initiatives
- Oversee the development and deployment of high-impact AI products like Autonomous Coding and RTS Checkout, ensuring timely and high-quality delivery
- Partner with product, engineering, and business teams to integrate data science solutions into enterprise-wide initiatives and drive measurable impact
- Establish processes, tools, and best practices to scale data science operations and improve team efficiency
- Lead efforts in research and development to stay at the forefront of machine learning, AI, and data science advancements
- Guide the team in solving complex technical problems, including cloud-based model deployment and large-scale data engineering
- Ensure the data science team delivers products and insights that contribute to achieving projected revenue goals
Other
- Proven experience aligning technical initiatives with business goals and driving enterprise-wide impact
- Experience in team building, mentorship, and talent development fostering a high-performing and innovative team
- Demonstrated experience managing complex, large-scale projects with multiple stakeholders and tight deadlines
- Proven excellent cross-functional collaboration skills, with experience working across product, engineering, and business teams
- Proven solid communication and presentation skills for engaging with senior leadership and stakeholders
