Senior Product Owner, Data Science

Jobtailor; Hartford (CT); On-site; USD 140,000 - 190,000; Full time

Job summary

Jobtailor is seeking a Senior Product Manager to lead data science initiatives, translating business needs into clear requirements for data scientists and engineers. You will own roadmaps, align stakeholders, and drive data-driven decision making across squads.

Responsibilities include KPI definition, market research, and mentoring junior product staff, all within an agile environment. Insurance/financial services awareness is a plus; US work authorization is required.

Qualifications

• Bachelor's degree in a quantitative field is required.
• 7+ years in product management with at least 3 years in data science, ML, or AI products.
• Proven track record launching data-driven products end-to-end.
• Strong understanding of data science methodologies and big data tech.
• Experience with agile methods and Rally tooling.
• Excellent communication and stakeholder influencing skills.
• Ability to lead cross-functional teams without direct authority.
• Strong analytical, data-driven decision-making abilities.
• Insurance or financial services experience is a plus.
• Authorized to work in the US without sponsorship; STEM OPT not supported.

Responsibilities

• Define and communicate product vision, strategy, and roadmap for data science initiatives.
• Translate complex problems into product requirements and user stories for data scientists and engineers.
• Prioritize backlog based on business value, feasibility, and impact.
• Collaborate with data scientists, ML engineers, and technical teams throughout the lifecycle.
• Conduct market research, competitor analysis, and customer feedback analysis.
• Liaise between business stakeholders, data science teams, and departments.
• Define and track KPIs for data science products and iterate.
• Champion agile methodologies and best practices.
• Mentor junior product owners or business analysts.
• Monitor industry trends and emerging technologies in data science and PM.

Skills

Product Management

Data Science Methodologies

Agile Development Methodologies

KPI Tracking

Cross-Functional Team Leadership

Data Science

Machine Learning

Big Data Technologies

Product Requirements

User Stories

Market Research

Competitor Analysis

Customer Feedback Analysis

Analytical Skills

Problem-Solving

Education

Bachelor's degree in Computer Science, Data Science, Engineering, Business, or a related quantitative field

Tools

Rally

Scrum

Kanban

Job description

• Define and communicate the product vision, strategy, and roadmap for data science initiatives
• Translate complex business problems and user needs into product requirements and user stories for data scientists and engineers
• Prioritize the product backlog based on business value, technical feasibility, and strategic impact
• Collaborate with data scientists, machine learning engineers, and technical teams throughout the product lifecycle
• Conduct market research, competitor analysis, and customer feedback analysis
• Liaise between business stakeholders, data science teams, and relevant departments
• Define and track KPIs for data science products, analyzing performance and iterating based on results
• Champion agile methodologies and best practices
• Mentor and guide junior product owners or business analysts
• Monitor industry trends, emerging technologies, and best practices in data science and product management

Requirements

• Bachelor's degree in Computer Science, Data Science, Engineering, Business, or a related quantitative field
• 7+ years of experience in product management, with at least 3 years specifically focused on data science, machine learning, or AI products
• Proven track record of successfully launching and managing data-driven products from conception to end-of-life
• Strong understanding of data science methodologies, machine learning algorithms, and big data technologies
• Experience with agile development methodologies (Scrum, Kanban) and associated tools (Rally)
• Excellent communication, interpersonal, and presentation skills, with the ability to articulate complex technical concepts to non-technical stakeholders
• Demonstrated ability to influence and lead cross-functional teams without direct authority
• Strong analytical and problem-solving skills, with a data-driven approach to decision-making
• Experience in the insurance or financial services industry is a significant plus
• Candidate must be authorized to work in the US without company sponsorship
• The company will not support the STEM OPT I-983 Training Plan endorsement for this position

Core Competencies

Demonstrates expertise in product management for data science initiatives, including defining product vision, strategy, and roadmap. Proficient in agile methodologies, data-driven decision-making, and cross-functional team leadership.

Highest-signal resume keywords

• Product Management
• Data Science Methodologies
• Agile Development Methodologies
• KPI Tracking
• Cross-Functional Team Leadership

ATS Optimization Keywords

Hard Skills

• Data Science
• Machine Learning
• Big Data Technologies
• Product Requirements
• User Stories
• Market Research
• Competitor Analysis
• Customer Feedback Analysis
• Analytical Skills
• Problem-Solving

Soft Skills

• Communication Skills
• Interpersonal Skills
• Presentation Skills
• Influencing Skills
• Mentoring Skills

Industry Keywords

• Insurance Industry
• Financial Services Industry

Tools & Technologies

• Scrum
• Kanban
• Rally