Sr Director, Enterprise Data & Analytics

Tarsus Pharmaceuticals

Irvine (CA)

Hybrid

USD 255,000 - 357,000

Full time

14 days+

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Benefits offered by this job

Health, dental and vision insurance
Stock equity
Generous paid time off

Job summary

Tarsus Pharmaceuticals seeks a Senior Director of Enterprise Data & Analytics to lead the enterprise data strategy, analytics capabilities, and AI adoption across commercial and enterprise functions. This role partners with executives to enable faster, smarter decision-making through modern cloud data platforms and robust data governance.

The role reports to the VP, Digital & IT and requires pharma industry experience.

Responsibilities

  • Define and own the multi-year enterprise data and analytics strategy and roadmap.
  • Advise senior leadership and business stakeholders across commercial, finance, HR, medical affairs, market access, R&D and operations — translating data opportunities into clear business value.
  • Partner with senior leadership and IT to develop and execute corporate AI strategy and adoption.
  • Proactively understand industry trends and bring innovative data and AI capabilities to improve AI/ML adoption including Gen AI, integration of AI applications through MCP.
  • Lead the architecture, evolution, scalability, and lifecycle of a modern, cloud-native enterprise data platform (e.g., Databricks, Azure, Tableau).
  • Ensure robust data governance, security, privacy, retention and compliance standards with HIPAA and GDPR.
  • Direct the strategy and governance for onboarding complex life sciences data ecosystems—into a unified data landscape.
  • Establish the architectural strategy for integrating advanced AI capabilities and external applications (e.g., Veeva, Salesforce).
  • Provide strategic oversight for the engineering teams responsible for ETL/ELT pipelines.
  • Serve as the organizational authority on enterprise data architecture, integration, and business intelligence.
  • Implement data quality monitoring frameworks and SLAs for data assets.
  • Lead vendor relationships across data platforms (Snowflake, Databricks) and IQVIA.
  • Lead IT budgets for all enterprise data and analytics spend.
  • Champion a data-driven culture with data literacy programs and executive reporting.
  • Develop and retain a high-performing team of data engineers, analysts, developers and consultants.

Skills

Strategic leadership
Data strategy
Cloud data platforms
AI/ML adoption
Data governance
Stakeholder management

Tools

Databricks
Azure
Tableau
Snowflake
MCP
Salesforce

Job description

About the Role

We are seeking a visionary and results-driven Senior Director of Enterprise Data & Analytics to serve as a strategic leader and key partner to the business. This senior leadership level role will be responsible for expanding and executing the company's enterprise data strategy, analytics capabilities, and driving the adoption of advanced AI and machine learning solutions across commercial and enterprise functions.

The ideal candidate brings deep pharmaceutical and life sciences expertise, hands-on experience with modern cloud data platforms, and the strategic mindset to build world-class data capabilities that enable faster, smarter decision-making across the enterprise.

Let\'s talk about some of the key responsibilities of the role:
  • Define 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 differentiator.
  • Serve 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 value.
  • Partner with senior leadership team and IT to develop and execute corporate AI strategy and adoption
  • Proactively 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 outcomes.
  • Lead 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 workloads.
  • Ensure 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 regulations.
  • Direct 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 landscape.
  • Establish 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 interoperability.
  • Provide strategic oversight for the engineering teams responsible for building and maintaining robust ETL/ELT pipelines across commercial and enterprise data ecosystems.
  • Serve 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 frameworks.
  • Implement data quality monitoring frameworks and SLAs to ensure that business-critical data assets meet accuracy, completeness, and timeliness standards.
  • Lead strategic vendor relationships across data platform providers (e.g., Snowflake, Databricks), pharma data suppliers (e.g., IQVIA), analytics tools vendors, and implementation partners.
  • Lead and manage IT budgets for all enterprise data and analytics spend.
  • Champion a data-driven culture across the organization by establishing shared data literacy programs, self-service analytics frameworks, and executive-level reporting capabilities.
  • Develop and retain a high performing team of data engineers, analysts, developers and consultants, fostering a culture of innovation, continuous learning and technical excellence.
A Few Other Details Worth Mentioning:
  • The position will be based in our beautiful Irvine office, complete with onsite gym, pool, snacks, drinks, and occasional catered meals. We provide a hybrid work environment. Remote candidates with exceptional leadership skills in leading remote teams may be considered.
  • We are passionate about our culture! Our Tarsans live our values of commitment to patients, empowerment to champion innovation, and teamwork to amplify impact!
  • This position reports directly to VP, Digital & IT
  • Some travel may be required -- up to 10%

At Tarsus, we understand the importance of attracting and retaining top talent. The expected base pay range for this position is $255,000 - $357,000 plus bonus, stock equity, and comprehensive benefits. The base pay range reflects the target range for this position, but individual pay will be determined by additional factors such as job-related skills, experience and relevant education or training. Our benefits include health, dental and vision insurance benefits to ensure your well-being. We believe in work-life balance and offer generous paid time off, including vacation, holidays, and personal days. For more details regarding Tarsus benefits, please visit: https://eb.alliant.com/26tarsusbenefitssnapshot.

#LI-Hybrid

Tarsus Pharmaceuticals, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.

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