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.
In joining the Optum Advisory Trend Analytics Consulting team, you’ll be part of a team that is a leader in health care cost analytics, with a proven track record of supporting health plans across the country through a diverse staff of Actuaries, Data/Research Analysts, and Business/Technology Consultants. Our consulting team has continued to expand capabilities and our consulting presence by identifying, developing, and executing on new and exciting business opportunities.
As a member of our high-performing team, you'll help support Optum's growth and financial goals while you help shape our future. As an Actuarial AI/ML Director, you will be empowered, supported, and encouraged to use your actuarial and AI/ML expertise as you perform financial analysis and build models that improve health plan competitiveness.
You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities:
- Work with detailed health care claims data to build and maintain models supporting financial analysis using AI / ML techniques
- Address business challenges through AI / ML analytical modeling
- Apply technical skills to complex analyses to draw key insights that reflect an understanding of the overall consulting engagement
- Create visually appealing, client-ready, and accurate deliverables
- Construct logical storylines and manage client questions in areas of content knowledge
Client Engagement Delivery Responsibilities:
- Lead the development of AI / ML forecast modeling projects
- Develop, conduct, and evaluate AI/ML approaches to explain and forecast medical and pharmacy costs
- Collaborate with key stakeholders to identify and develop areas for AI / ML analytical development and exploration
- Serve as an advisor on AI / ML business strategy, operational effectiveness, and analytic best practices
- Design and execute detailed data programs and models using various data and analytical tools (e.g., R, Python, Excel, SAS, SQL)
- Present analytic findings across actuarial and non-actuarial stakeholders
- Develop consistent and appropriate modeling across Commercial, Medicare, and Medicaid business analytics
- Interpret, compile, and disseminate results of modeling analyses with appropriate conclusions and recommendations
- Provide strategic input to the development of project roadmaps and timelines
- Create a team-oriented work climate that enables professional development and encourages creative solutions and strategies
Business Development / Leadership:
- Develop and Manage the day-to-day operations for a team of actuarial and business analysts
- Provide coaching and mentoring to junior consultants and analysts to develop and retain talent within the organization
- Support cross-business collaboration with Optum actuarial and other consultants in pursuing new development opportunities
- Complete financial analysis and develop client business cases for proposed solutions
- Support and actively participate in thought leadership for innovative solutions and expanding consulting engagements
You'll be part of a driven and focused team accountable for constantly improving business results. As a trusted subject matter expert, you'll incorporate traditional expertise into novel, innovative actuarial/analytic solutions. You'll be rewarded and recognized for your performance in an environment that challenges you and provides clear direction on what it takes to succeed in your role.
Required Qualifications:
- 10+ years of experience in a healthcare Actuarial role
- 10+ years of experience designing and executing complex data programs, including data extraction and analysis using R, Python, Java, SQL, SAS
- 10+ years of experience acquiring, manipulating, and working with large heterogeneous datasets (claim and non-claim based) and using them to solve business problems
- 5+ years of experience creating efficient and scalable models and developing data storage and architecture solutions
- 5+ years of experience as a people and project manager
- 5+ years of experience leading meetings and presenting data insights to executive audiences
- 5+ years of experience with a wide range of statistical methods, including descriptive and inferential statistics, multivariate regression, clustering, neural networks, predictive modeling, forecasting, machine learning, data mining, and optimization algorithms
- 5+ years of experience developing and deploying predictive models and other analytical tools
Preferred Qualifications:
- Actuarial Credential (ASA or FSA)
- 5+ years of experience working for a healthcare consulting practice
- Proven ability to execute in a highly matrixed organization with competing priorities
- Located or Relocation to Minnesota
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.