[Remote] Sr Director, Enterprise Data & Analytics

Note: The job is a remote job and is open to candidates in USA. Tarsus Pharmaceuticals, Inc. is seeking a visionary and results-driven Senior Director of Enterprise Data & Analytics to lead the company's enterprise data strategy and analytics capabilities. The role involves expanding the adoption of advanced AI and machine learning solutions while partnering with senior leadership across various functions to drive business value through data.ResponsibilitiesDefine and own the multi-year enterprise data and analytics strategy, and roadmap aligning closely with the company’s commercial and corporate priorities ensuring data capabilities as a competitive differentiatorServe as a trusted advisor and strategic partner to senior leadership and business stakeholders across commercial, finance, HR, medical affairs, market access, R&D and operations — translating complex data opportunities into clear business valuePartner with senior leadership team and IT to develop and execute corporate AI strategy and adoptionProactively understand the industry trends and bring innovative data and AI capabilities to improve AI/ML adoption including Gen AI, integration of AI applications through MCP, predictive modeling and advanced analytics that drive measurable business outcomesLead the architecture, evolution, scalability, and lifecycle of a modern, cloud-native enterprise data platform (e.g., Databricks, Azure, Tableau), ensuring it robustly supports the organization’s advancing analytics and AI workloadsEnsure robust data governance, security, privacy, retention and compliance standards — working in close partnership with Information Security, Legal, and Privacy teams to safeguard all data assets in alignment with HIPAA, GDPR, and other applicable regulationsDirect the strategy and governance for onboarding complex life sciences data ecosystems—including commercial, claims, provider (HCP), and third-party logistics (3PL) streams—into a unified data landscapeEstablish the architectural strategy for integrating advanced AI capabilities and external applications (e.g., Veeva, Salesforce) using modern, agnostic data exposure frameworks like MCP to drive seamless interoperabilityProvide strategic oversight for the engineering teams responsible for building and maintaining robust ETL/ELT pipelines across commercial and enterprise data ecosystemsServe as the organizational authority and subject matter expert on enterprise data architecture, data integration, and business intelligence—ensuring delivery of high-impact executive insights and robust self-service reporting frameworksImplement data quality monitoring frameworks and SLAs to ensure that business-critical data assets meet accuracy, completeness, and timeliness standardsLead strategic vendor relationships across data platform providers (e.g., Snowflake, Databricks), pharma data suppliers (e.g., IQVIA), analytics tools vendors, and implementation partnersLead and manage IT budgets for all enterprise data and analytics spendChampion a data-driven culture across the organization by establishing shared data literacy programs, self-service analytics frameworks, and executive-level reporting capabilitiesDevelop and retain a high performing team of data engineers, analysts, developers and consultants, fostering a culture of innovation, continuous learning and technical excellenceSkillsBachelor's in computer science, Information systems, Engineering or related field, advanced degrees such as MBA or MS will be a plus15+ years of progressive experience in data, analytics, and technology leadership, with a minimum of 5 years in a senior leadership role preferably in a life sciencesDeep pharmaceutical or life sciences industry experience and business acumen with comprehensive understanding of commercial data ecosystems including HCP data, claims data, specialty pharmacy, market access, and patient services from leading data sources and partnersFamiliarity with regulatory and compliance requirements relevant to pharmaceutical data (e.g., HIPAA, GDPR, 21 CFR Part 11)Proven track record of building and scaling enterprise data platforms in a cloud environment, with deep technical fluency in data management tools such as Databricks, Snowflake, Microsoft Azure, and AWS and data visualization tools such as Tableau, PowerBI and SpotfireExperience integrating life sciences CRM and commercial applications — such as Veeva CRM, Veeva Vault, Salesforce, and Salesforce Marketing Cloud — with enterprise data platformsProven experience driving the implementation and adoption of Generative AI, predictive modeling, and machine learning capabilities within enterprise systems and data platformsExceptional executive communication and storytelling skills with the ability to present complex data strategies to non-technical senior leaders and board-level audiencesStrong financial acumen with experience managing budgets and spending for all data analytics related projects and consultantsGood project management experience to manage large projects in an agile or waterfall framework depending on the type and complexity of the projectA good team player with experience in managing and developing diverse, distributed teams of data professionalsBenefitsBonusStock equityComprehensive benefitsHealth, dental and vision insurance benefits to ensure your well-beingGenerous paid time off, including vacation, holidays, and personal daysOnsite gymPoolSnacksDrinksOccasional catered mealsHybrid work environmentRemote candidates with exceptional leadership skills in leading remote teams may be consideredCompany OverviewTarsus (NASDAQ:TARS) is a biopharmaceutical company that applies proven science and new technology to revolutionize treatment for patients, starting with eye care. It was founded in 2017, and is headquartered in Irvine, California, USA, with a workforce of 201-500 employees. Its website is https://www.tarsusrx.com.