Associate Director, Data Analytics

Key Responsibilities

• 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.
• Own the end-to-end lifecycle of data and analytics products—from discovery through build, release, adoption, and operations—delivering 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.
• 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).
• 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.
• 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

  • Bachelor’s 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.