Director Data Science Customer Analytics at A Place For Mom

Overview
Owned by three of the world's leading private equity firms, Silver Lake, General Atlantic and Insight Partners, A Place for Mom is a mission driven, rapidly growing technology company.  We connect families searching for senior care services with a team of experienced advisors across the country to help them find the best care for their loved one.  As the leader in senior care advisory, our mission is to be a trusted destination for families and our community customers as we support more than 300,000 families every year in finding the right community for them.
Through our differentiated technology platform, data-driven approach and commitment to our customers, we are transforming the experience of working with A Place for Mom in order to provide more personalized, insightful experiences to both the families and communities we work with.
Living by our values and working to achieve excellence on behalf of our customers is integral to success at A Place for Mom. Employees who thrive at A Place for Mom live our values every day and are an important part of our hiring practices:
Focus on ExcellenceAct with Integrity & Assume Positive IntentDrive Outcomes Every Day with Passion and A Sense of MissionMake the Lives of our Families and Customers Better, Easier and More SuccessfulRealize the Full Potential in Each Team Member.Work as a Single Supportive Team
COMPANY LEADERS
Tatyana Zlotsky – Chief Marketing Officer & Head of OperationsTatyana is a visionary and entrepreneurial digital marketing executive, brand builder, and industry thought leader with experience in driving transformational change and redefining user experiences for Fortune 100 companies and start-ups. She has a reputation for championing the art and science of marketing - from strategic branding and creative development to data and technology - translating high brand value into tangible revenue generating activities.
Alice Park – VP, Data & Analytics
Alice is an executive with broad experience building and managing successful data- and analytics-driven teams, strategies and capabilities that enhance customer experiences, drive revenue and enable growth.  Alice joined us from American Express where she, most recently, led the global commercial marketing data capabilities and platform product team. But over her Amex career, has led teams across risk management, rewards & benefits analytics, marketing analytics, and data monetization product development for consumer and B2B portfolios.  Alice has also held positions as Chief of Operations & Product at Archie Group, where she led development of operational strategies, strategic partnerships, and data-driven product suites, and Head of Data Products and Analytics at BDIPlus, where she led advanced analytical solutions and data monetization strategies for clients.
THE POSITION
The Director, Data Science & Customer Analytics role, will report into the VP of Data & Analytics and will be a key senior leader in transforming data & analytics into an enabler for A Place for Mom.  This role will be responsible for developing, standing up and scaling in-market, key initiatives including top-of-funnel lead scoring applications, enhanced treatment and customer nurture strategies, and other use cases that drive increased conversions and valuable family experiences.  This person will also conduct in-depth analysis to understand impact of initiatives, refine model performance and identify additional opportunities for growth.  This person will also develop a high performing, outcome oriented team of diverse talent and is expected to work with complex enterprise-level datasets in a hands-on capacity as needed.
Who you are:
The ideal candidate is passionate about using data and science to solve complex business problems and has a track record of developing and bringing winning data monetization strategies to market.  You can mobilize cross-functionally, are able to communicate clearly at all levels, and are skilled at driving teams towards growth oriented goals.  You are comfortable, confident and energized operating in a rapidly changing and environment.  You are an inspirational, compassionate, and experienced people leader.  And importantly, you are passionate about the families and communities we serve.
Responsibilities
Build, manage, and develop a high performing team of analysts who are highly engagedCollaborate with key business partners to develop, stand-up and scale, in-market, key data-driven initiatives top-of-funnel including lead scoring applications, enhanced treatment and customer nurture strategies, and other use cases that drive increased conversions and valuable family experiencesLeverage 1st party and 3rd party data to build predictive machine learning models and conduct analytics to evaluate, qualify, prioritize and determine treatment for leads at the top-of-the sales funnelOwn, enhance, and monitor the end-to-end scoring engine capability; including working with product & engineering teams to ensure model build & performance in the production environment, integrations with data sources, the customer journey & sales/CRM systems, enabling testing capabilities, and defining data requirementsConduct in-depth analysis to understand impact of initiatives, refine model performance and identify additional opportunities to increase conversion rate and accelerate growth Design, implement and interpret test and learn experimentsImplement robust testing and KPI framework to measure performance and identify opportunities to drive outcomes at profitable economics
Qualifications
Experience building successful teams and effectively managing and coaching analytical talentTrack record of solving analytical problems creatively, bringing them to market with clear outcomes, and a strong sense of accountabilityAbility to effectively communicate analytical insights to a non-technical audience; experience communicating with the C-suite and internal/external partnersDeep knowledge of statistics5+ years experience in a hands-on analytics role and 3+ years experience in a leadership role developing relevant strategies or consultingAdvanced degree in a quantitative field such as Statistics, Computer Science, Engineering, or Operations Research, or MBA with quantitative undergrad degreeExpert SQL and Python, strong proficiency in R; Experience with ML frameworksExperience with Databricks, Tableau, Amplitude, Google Analytics
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