About The Position

About This Role The Associate Director, Data Management within US Decision Sciences / Data & Analytics provides strategic and executional leadership across commercial data domains, ensuring the consistent delivery of high-quality, analytics-ready data to support insights, reporting, and field execution at scale. The Associate Director owns complex, cross-domain data initiatives, sets standards and best practices for data management, and serves as a primary thought partner to Analytics, Reporting, Field Operations, IT, and senior stakeholders. The role goes beyond execution to shape the data management roadmap for 1-2 brands, proactively address systemic data challenges, and drive continuous improvement across platforms, vendors, and processes. What You’ll Do Own strategy and execution for multiple commercial data domains, ensuring reliable, analytics-ready data delivery. Lead complex, cross-functional data initiatives that span analytics, reporting, field execution, and technology teams. Set data management standards, controls, and best practices to improve consistency, quality, and reuse. Oversee end-to-end data pipelines across sources, platforms, and vendors, ensuring scalability and sustainability. Translate ambiguous business and analytics needs into clear data solutions and execution plans. Partner closely with Analytics and Reporting leaders to shape data approaches aligned to evolving business priorities. Act as a senior escalation point for data quality, availability, and vendor-related issues; drive root-cause resolution. Guide IT and platform teams on data design decisions, tradeoffs, and sequencing. Evaluate vendor performance and influence roadmap decisions related to data onboarding, refresh cadence, and enhancements. Ensure robust documentation of data definitions, lineage, assumptions, and limitations across domains. Identify systemic data gaps and proactively propose pragmatic, forward-looking solutions. Mentor and provide informal leadership to managers and senior managers within Data Management. Who You Are A seasoned data leader who combines strategic thinking with strong execution discipline. Comfortable operating in ambiguity and making informed tradeoffs under constraints. A trusted partner to senior analytics, business, and IT stakeholders. A proactive problem solver who anticipates issues before they impact the business. Influential without authority, able to align diverse teams around shared outcomes.

Requirements

  • Bachelor’s degree required (Data Sciences, Engineering, Information Systems, or related field).
  • Master’s degree preferred (MS, MBA, or equivalent).
  • Minimum of 10 years of experience in data management, analytics enablement, or related roles within biotech/pharma, healthcare, or consulting.
  • Experience in people leadership (supervising direct reports).
  • Deep experience with commercial data ecosystems (e.g., CRM, claims, Rx, specialty pharmacy, market and field data).
  • Proven ownership of large-scale, multi-source data pipelines and analytics-ready data assets.
  • Strong command of data quality frameworks, reconciliation methodologies, and governance practices.
  • Experience defining data standards, operating models, and repeatable processes.
  • Advanced working knowledge of SQL-based transformations and modern data platforms (e.g., Databricks, cloud data warehouses).
  • Demonstrated ability to partner effectively with IT, analytics, reporting, and external vendors at a senior level.
  • Excellent written and oral communication skills.
  • Ability to operate independently and take initiative.

Responsibilities

  • Own strategy and execution for multiple commercial data domains, ensuring reliable, analytics-ready data delivery.
  • Lead complex, cross-functional data initiatives that span analytics, reporting, field execution, and technology teams.
  • Set data management standards, controls, and best practices to improve consistency, quality, and reuse.
  • Oversee end-to-end data pipelines across sources, platforms, and vendors, ensuring scalability and sustainability.
  • Translate ambiguous business and analytics needs into clear data solutions and execution plans.
  • Partner closely with Analytics and Reporting leaders to shape data approaches aligned to evolving business priorities.
  • Act as a senior escalation point for data quality, availability, and vendor-related issues; drive root-cause resolution.
  • Guide IT and platform teams on data design decisions, tradeoffs, and sequencing.
  • Evaluate vendor performance and influence roadmap decisions related to data onboarding, refresh cadence, and enhancements.
  • Ensure robust documentation of data definitions, lineage, assumptions, and limitations across domains.
  • Identify systemic data gaps and proactively propose pragmatic, forward-looking solutions.
  • Mentor and provide informal leadership to managers and senior managers within Data Management.

Benefits

  • Medical, Dental, Vision, & Life insurances
  • Fitness & Wellness programs including a fitness reimbursement
  • Short- and Long-Term Disability insurance
  • A minimum of 15 days of paid vacation and an additional end-of-year shutdown time off (Dec 26-Dec 31)
  • Up to 12 company paid holidays + 3 paid days off for Personal Significance
  • 80 hours of sick time per calendar year
  • Paid Maternity and Parental Leave benefit
  • 401(k) program participation with company matched contributions
  • Employee stock purchase plan
  • Tuition reimbursement of up to $10,000 per calendar year
  • Employee Resource Groups participation
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service