Sr Manager

Description:

The Data Science Senior Manager is primarily responsible for leading a quantitative analytics team in support of quantitative analysis including model development, validation, and maintenance. This role must establish priorities for the team, assign and define the work to the right resources, and understand the strengths and opportunities of the team to ensure the group meets and exceeds expectations. This role is responsible for owning modeling practices, methods, and techniques as well as for influencing data strategy with a focus on leveraging both current and emerging technologies and applications. The Data Science Senior Manager acts as a leader, strategic advisor and credible thought partner to senior / executive level business partners. This position is also responsible for managing the integration of activities within and across teams as well as effectively manage, coach, develop, and guide a team of professionals to anticipate business needs, recommend solutions that are both effective and efficient, and communicate the right message.

Responsibilities:

Provide strategic consultation and thought leadership to senior / executive level business partners

Anticipate business partner needs

Drive the output of the team – ensure “executive ready” work product in alignment with business priorities

Influence / impact strategy for data sourcing

Anticipate emerging needs; identify industry data trends and technologies

Proactively coach and develop others on building technical skills

Promote the group and their capabilities to stakeholders

Effectively collaborate and partner at all levels of the organization; guides, advises, challenges, and influences to drive organizational impact

Provide solutions based on “connecting the dots”; leverage business insights to align, develop, and build holistic strategies and solutions that align with LOB priorities and consider knowledge of cross-LOB interdependencies

Required Qualifications

Master’s degree (or its equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 6 years minimum of relevant experience; or Bachelor’s degree (or its equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 7 years of relevant experience