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Director – Data Science – Product Management

Director – Data Science – Product Management

CompanyHartford Financial Services
LocationChicago, IL, USA, Charlotte, NC, USA, Columbus, OH, USA, Hartford, CT, USA
Salary$153200 – $229800
TypeFull-Time
DegreesMaster’s
Experience LevelExpert or higher

Requirements

  • Master’s degree in Information Systems, Computer Science, Data Science, or Statistics preferred.
  • 10+ years of experience in data science, with at least 8 years in a leadership role.
  • Proven experience working closely with product teams in Tech or data science.
  • Strong understanding of machine learning, statistical modeling, and data engineering.
  • Excellent communication and storytelling skills with the ability to influence at all levels.
  • Experience with cloud platforms (AWS, GCP, or Azure).

Responsibilities

  • Define, communicate and execute the Enterprise AI roadmap aligned with product and business goals.
  • Champion a data-first culture across product teams.
  • Identify opportunities for AI to enhance product capabilities and user experience.
  • Lead, mentor, and grow a high-performing team of product leads.
  • Foster a collaborative and innovative team environment.
  • Define and track key product metrics to measure success and inform decision-making.
  • Drive data-informed prioritization and trade-off decisions.
  • Translate complex data insights into actionable product recommendations.
  • Oversee the intake, planning prioritization development of the Enterprise AI roadmap and partner closely with data science and engineering teams through implementation of key initiatives.
  • Ensure data quality, governance, and ethical use of AI.
  • Communicate findings and strategies to executive leadership and cross-functional teams.
  • Advocate for AI initiatives and secure buy-in from key stakeholders.

Preferred Qualifications

  • Experience in consumer-facing products or platforms.
  • Familiarity with agile product development methodologies.
  • Background in experimentation platforms or causal inference.