Remote VP of AI-Driven Data Products

Sedgwick; Harrisburg (Dauphin County); Remote; USD 180,000 - 240,000; Full time

Job summary

Sedgwick seeks a strategic VP OmniAnalyst Product Manager to define and execute the product strategy for AI-enabled enterprise data products. You will lead cross-functional teams, shape the portfolio, and translate business needs into scalable, secure data solutions that empower decision-making and client value.

Leading Product Managers and collaborating with Data Engineering, Security, Governance, and Analytics, you will drive adoption of semantic models, data-sharing capabilities, and

Qualifications

• Bachelor’s degree required; Master’s preferred.
• 10+ years in Product Management and data/AI products.
• Experience leading cross-functional teams.
• Knowledge of data governance and security.
• Agile delivery experience.

Responsibilities

• Define Product Vision and Strategy for enterprise AI/data products.
• Oversee delivery across multiple teams with aligned backlogs and acceptance criteria.
• Own Enterprise Data Product Portfolio including data-sharing and governance.
• Drive AI-powered analytics capabilities and user-centric experiences.
• Enable secure data sharing and ensure regulatory/compliance alignment.
• Engage stakeholders and communicate roadmap, risks and value realization.
• Lead Product Owners and foster a culture of innovation and collaboration.

Skills

Agile methodologies

Product leadership

Data products

AI products

Portfolio management

Education

Bachelor’s degree in Business, Computer Science, Information Systems, Engineering, Data Science or related field

Master’s degree preferred

Job description

Sedgwick seeks a strategic VP OmniAnalyst Product Manager to define and execute the product strategy for AI-enabled enterprise data products. You will lead cross-functional teams, shape the portfolio, and translate business needs into scalable, secure data solutions that empower decision-making and client value.

Leading Product Managers and collaborating with Data Engineering, Security, Governance, and Analytics, you will drive adoption of semantic models, data-sharing capabilities, and