Associate Director, Data Strategy and Omnichannel Enablement

Duties: * Lead commercial data strategy in terms of sourcing, procurement, evaluation, analysis, and integration of existing and future data assets * Act as internal thought leaders in data assets: mastering the content, structure, meaning and intended downstream usage of our data assets * Analyze business questions and translate them into new requests for data, identifying the appropriate datasets, and generating database queries and summary data outputs for stakeholders * Partner with vendor partners and IT colleagues to drive the delivery of digital marketing tactics including project intake, process design, deployment, and performance reporting * Solve execution related problems and help drive tasks to completion within the timelines; negotiating or prioritizing tasks as required * Pioneer marketing pilots through upfront feasibility studies and data preparation; partner with operations team for implementation and back-end measurement of return on investment analysis * Provide support in analytics solution design, KPI development, performing ad hoc analytics as needed to support priority projects * Take complete ownership and work with minimal guidance to add value in a dynamic environment. Minimum Requirements: * Must have a Masters degree in Analytics, Data Science, Finance, or a closely- related quantitative degree. * Must have with 7 years of progressive experience in Analytics or Consulting positions within the pharmaceutical, healthcare management, and/or biotech industries. * Must have at least 2 years of experience with the following: * Performing advanced data analytics * Hematology/oncology and/or solid tumor analytics * Working closely with IT, Compliance, HR, Finance, Medical Affairs and Commercial (sales, marketing, market access) partners * Manipulating and extracting insights from large longitudinal data sources, such as Claims, EMR and other patient-level data sets. * Experience with payer data. * Presentation of statistical analysis results to a non-technical audience, including describing complex data topics in simple terms. * Managing complex projects, including as KPI dashboard buildouts * Utilizing experience with: SAS, Alteryx, R, Python, Machine Learning Models, and SQL; Big data technologies: Hadoop, Redshift; and Front-end tools: Tableau, Qliksense, Power BI, and Veeva. Position may be eligible to work remotely/hybrid but is based out of and reports to Stemline offices in New York, NY. Must be available to travel to New York, NY regularly for work, meetings and reviews with manager within 24-hours notice. Salary Range: $170,000 - $188,000 Apply online or email resume to [email protected]