Upland Capital Group, Inc. is an AM Best rated “A-” VIII specialty property/casualty insurer headquartered in Dallas, Texas. Through its wholly owned insurance carrier, Upland Specialty Insurance Company, the company markets, underwrites and services specialty insurance products in select markets to include excess transportation, construction casualty, excess casualty, primary general liability, excess public entity, professional liability errors and omissions, excess cyber liability as well as product recall.  

We focus on “old school” underwriting as a craft, add “new school” analytics and technology, and encourage a gritty, growth mindset among people called “we entrepreneurs.” 

On our Risk, Analytics, and Data (RA&D) team, we focus on Actuarial, Data Science, Data and Model Engineering, and Enterprise Risk Management functions. Our Actuarial and Data Science model environment and architecture is containerized, and we are cloud based, running on Azure. Our vision is to build highly automated and efficient processes to build, test, and deploy our models and products for enhancing actuarial, underwriting and claim insights with timely and relevant data-driven analytics and technology. We look to create solutions that require creative problem solving and a close collaboration with stakeholders across the organization, not limited by a ‘one size fits all’ mindset.

As an Excess and Surplus (E&S) carrier, we face unique and interesting problems every day. We are looking for a Technical Product Manager with P&C insurance pricing knowledge to join our RA&D team. This role will report to the Director, Analytics Product Management.

DUTIES AND RESPONSIBILITIES:

• Define and manage the product roadmap for rating and pricing insight capabilities that meet current business needs and support future growth.

• Work closely with actuarial and underwriting to capture requirements and translate them into clear, actionable product specs.

• Collaborate with the engineering team to build or implement solutions.

• Enable structured governance of data, models, raters, and analytics/business logics to support accuracy, change management, audit readiness, data reporting and feedback loop, and transparency with stakeholders.

• Ensure tools support faster onboarding of new business, streamline data capture, and deliver actionable insights to underwriters.

Experience, Education, Special Skills Required:

• Bachelor's degree along with 5+ years of professional experience in the P&C insurance industry with a focus on commercial lines pricing, underwriting, analytics, or actuarial roles

• Experience in managing analytical and/or technical products or platforms in a complex, cross-functional environment

• Strong P&C insurance domain knowledge in commercial insurance pricing and rating components

• Ability to translate insurance domain knowledge into technical requirements

• Strong organizational and project management skills, with the ability to manage multiple priorities effectively

• Excellent communication and interpersonal skills, with experience engaging both internal and external stakeholders

• Self-starter, quick learner, and creative problem solver that thrives in a flexible, fast paced, and remote work environment 

Optional Experience, Education, and Skills: 

• Experience with managing and/or developing rating-related solutions (e.g., pricing/portfolio tools, rating engine, raters, etc.)

• Technical fluency in tools such as Python, Git, Jira, SQL, or API integrations

• Exposure to rater governance, rating data model, reinsurer treaty reporting, renewal rate monitoring, or audit scenarios

Disclosures:

Pay Estimate: $130,000 –$165,000/year

Other compensation: annual incentive program

Benefits: health insurance including FSA and HSA options and free access to Teladoc, vision, dental, disability and life insurance, parental leave, responsible time off (unlimited vacation days without an accrual system), paid sick time as required by law, 401(k), tuition reimbursement and employee assistance program.

Anticipated close date: May 19, 2025