Associate Director, Data Analytics

The Associate Director of Data Analytics provides technical and people leadership to design build and scale data and analytics solutions that support regulatory compliance operational performance and strategic decision-making across healthcare and life sciences. This role owns end-to-end delivery across multiple workstreams establishes repeatable engineering and governance standards and partners with Product Engineering Sales and client stakeholders to grow and modernize analytics capabilities.

This leader is expected to operate effectively in a matrix environment balance competing priorities and communicate clearly and diplomatically with senior internal and client leaders while driving measurable outcomes.

Key Responsibilities

People Leadership & Operating Model
Lead hire coach and retain a high-performing team; set goals provide feedback and drive career development.
Establish operating rhythms and delivery governance (planning prioritization design reviews release readiness incident/defect triage) to ensure predictable execution and quality.
Drive a culture of accountability documentation and continuous improvement across teams and partners.

Data & Analytics Products (Build Scale)
Own the end-to-end lifecycle of data and analytics productsfrom discovery through build release adoption and operationsdelivering reusable capabilities with measurable business impact.
Build product-grade data foundations (canonical models curated datasets semantic layers governed metrics) and reference data (e.g. MDM/hierarchies) to ensure consistency and reuse.
Operationalize cloud data products (Azure/AWS) using strong engineering practices: Git CI/CD automated testing documentation and runbooks.
Deliver scalable pipelines automations and accelerators for compliance/regulatory reporting and operations at scale using Python SQL and orchestration (Airflow/ADF or equivalent).
Provide governed analytics experiences (dashboards self-service datasets alerting) for compliance KPIs variance analysis and executive decisioning.
Embed healthcare-grade data trust: definitions/lineage access controls privacy-by-design (PHI/PII where applicable) and data quality monitoring with root-cause remediation.
Incorporate agent-enabled capabilities where they improve usability and speed-to-insight (e.g. agent-assisted Q&A summaries/insights guided workflows) using enterprise-supported approaches and enablement resources.

Program Delivery & Client Outcomes
Own scope milestones acceptance criteria dependencies and risk/issue management across multi-workstream initiatives to ensure on-time/on-budget outcomes.
Translate regulatory and business changes into actionable delivery plans; communicate tradeoffs decisions needed and mitigation plans to senior stakeholders.
Define measurable success criteria and track outcomes (e.g. reduced manual effort improved audit readiness increased adoption of governed data products).

Business Development & Practice Growth
Own or co-lead RFPs: solution strategy win themes response authoring compliance matrices and executive summaries; partner with BD/Sales to shape proposals.
Lead client demos/pilots/orals; contribute reusable assets and accelerators that increase speed-to-value and differentiation.
Build and maintain senior client relationships; identify expansion opportunities and translate them into scalable offerings and roadmap items.

Strategic & Innovation Leadership
Maintain the analytics/platform roadmap and architecture guardrails to drive modernization interoperability security and scalability.
Evaluate and adopt emerging technologies (including AI/ML and agentic patterns) where they measurably improve delivery efficiency insight generation or customer outcomes.

Qualifications (Required)
Bachelors degree in a relevant field or equivalent experience.
Proven people leadership and delivery ownership in a matrix environment.
Strong SQL Python (or equivalent) delivering production-grade pipelines and automation.
Experience with cloud data architectures and modern platforms (Azure/AWS; Snowflake/Databricks or equivalent).
Strong stakeholder communication/presentation; calm assertive and diplomatic.
Business acumen: planning prioritization and financial awareness.

Qualifications (Preferred)
Experience leading data governance / metadata / lineage / stewardship operating models.
Healthcare/life sciences exposure where compliance/auditability are critical.
Experience delivering governed semantic models and self-service analytics.
RFP/orals and client solutioning leadership.

This is a remote/WFH opportunity available to candidates currently residing within the United States.

IQVIA is a leading global provider of clinical research services commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at

IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability status as a protected veteran or any other status protected by applicable law. is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements misrepresentations or material omissions during the recruitment process will result in immediate disqualification of your application or termination of employment if discovered later in accordance with applicable law. We appreciate your honesty and professionalism.