Sr. Director Data Sciences
About the position The Sr Director of Data Sciences is responsible for building and developing a high performing team while supporting product delivery with insights and innovation. This position involves leading a team of skilled analysts and data scientists, ensuring successful project execution with high business impact, and providing thought leadership both internally and externally. The role requires collaboration across various teams to deliver high-quality products and capabilities, as well as overseeing the documentation of analytic solutions and maintaining industry best practices. Responsibilities • Lead, grow and inspire a team of skilled analysts and data scientists ensuring they are successfully executing projects with the highest business impact • Lead the design, development, deployment, and maintenance of analytically derived models • Provide thought leadership internally within the enterprise and externally with financial institutions, partners, and industry associations by assessing industry trends and analytic technologies • Drive collaboration and exercise influence cross-functionally across analytics teams, product management, engineering, and technology organizations to deliver high-quality products and capabilities • Lead budgeting and planning for team and resources as required • Present clear and actionable insights to stakeholders across varying levels, areas of expertise, and degrees of technical knowledge • Establish and maintain industry standard best practices and processes through all phases of the analytic development life cycle • Oversee documentation of analytic solutions, standard analytical procedures, and methodologies • Develop and present recommendations and POV on analytic environments and data strategy • Protect the integrity and confidentiality of systems and data • Convey responsiveness and competence when dealing with internal and external stakeholders • Partner with various functional areas to develop an understanding of fields to which statistical techniques can be applied effectively • Support the company's commitment to risk management and protecting the integrity and confidentiality of systems and data Requirements • Bachelor's Degree in Mathematics, Statistics, Computer Science, or related field • 15 or more years data analytics experience (or equivalent combination of education and experience) • 10 or more years efficient programming enabling manipulation and analysis of large data sets ideally with SQL, Python, R, or Scala • 10 or more years of professional experience, including the development of large-scale analytic solutions, leading high-performing analytics, or data science project teams • Demonstrated leadership experience and cross functional collaboration experience • Excellent interpersonal, oral, and written communication skills • Excellent listening and execution skills • Background and drug screen Benefits • Healthcare Coverage - Competitive medical (PPO/HDHP), dental, and vision plans as well as company contributions to your Health Savings Account (HSA) or pre-tax savings through flexible spending accounts (FSA) for commuting, health & dependent care expenses • 401(k) Retirement Plan - Featuring a 100% Company Safe Harbor Match on your first 6% deferral immediately upon eligibility • Paid Time Off - Unlimited Time Off for Exempt (salaried) employees, as well as generous PTO for Non-Exempt (hourly) employees, plus 11 paid company holidays and a paid volunteer day • 12 weeks of Paid Parental Leave • Maven Family Planning - provides support through your Parenting journey including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work Apply tot his job