Lead and grow data science team by providing technical oversight, coaching, and development to enable high performance.

Own strategy and delivery for modeling, analytics tools, dashboards, and decision-support products that drive data‑driven strategic decisions across Distribution & Marketing.

Partner with business stakeholders, risk, legal, and compliance to translate strategic priorities into actionable analytics solutions and to manage model risk.

Drive large-scale, cross-functional initiatives that deliver measurable business impact and support enterprise objectives.

Establish and evolve departmental policies, processes, and talent strategies to scale the data science community and foster knowledge sharing.

Communicate complex technical concepts clearly to senior leadership and diverse stakeholders; influence decision-making and shape enterprise-wide analytics practices.

Deep knowledge of predictive analytic techniques and statistical diagnostics of models.

Proven ability to lead and drive projects to completion through others, to include prior experience effectively managing talent.

Exchanges ideas and conveys complex information clearly and concisely, verbally, visually, and in writing, consistent with stakeholders with up to and including SBU/Corp Dept leadership and enterprise wide.

Exceptional interpersonal and communication skills required to establish and build effective relationships within and outside the organization and company.

Demonstrated ability to anticipate areas of senior management concern, integrate different perspectives, and respond accordingly.

Competencies typically acquired through an advanced degree or Actuarial designation and 8+ years of relevant experience or may be acquired through a Bachelor`s degree with 10+ years of relevant experience.