Associate Director, Digital Process & Data Analysis

Job Description

The Associate Director, Digital Process & Data Analysis (DPDA) provides strategic leadership for the organization's digital reporting, analytics, and process optimization capabilities. This role partners across business and technical teams to define priorities, lead the end-to-end delivery of reporting solutions, and drive the integration of purpose-built applications, analytics, and AI-enabled tools. The Associate Director champions data-driven decision-making, establishes governance and best practices, and fosters user adoption through stakeholder engagement, communications, and capability-building initiatives that maximize business value and operational effectiveness.

Responsibilities

Solution delivery and product / data support

• Drive clinical/operational reporting plans across products, roles, and geographies; implement standards and adoption tactics for purpose-built apps, self-service analytics, and other products in partnership with stakeholders.
• Engage with business stakeholders to understand and document their needs and help translate them into clear requirements and technical deliverables
• Lead delivery governance for key solutions-own requirements definition, data readiness coordination, development oversight, testing, release, and maintenance-to ensure scalable outcomes and strong user adoption.
• Produce executive-ready insights by consolidating trends, risks, and opportunities across portfolios; deliver clear narratives and visualizations that inform strategic decisions and prioritization.
• Run intake and prioritization process for ad hoc analytics; ensure timely, accurate responses and convert recurring requests into reusable assets or self-service capabilities.
• Coordinate participation in industry benchmarking; translate findings into practical performance targets and recommendations for process or investment adjustments.
• Align refresh schedules and data source management to business priorities; monitor usage and reliability Key Performance Indicators (KPIs); communicate changes and incidents broadly, coordinate cross-team resolution, and drive preventive improvements.

Process, compliance, & capability building

• Strengthen team capability and consistency: establish and enforce documentation and development standards, mentor specialists/senior specialists, and model effective stakeholder engagement.
• Review quality trends across teams; assign ownership for systemic issues with remediation timelines; ensure validation practices are embedded in delivery processes.
• Champion continuous improvement: evaluate emerging technologies and reporting methods, pilot high potential approaches, and institutionalize practices that reduce time-to-insight and increase impact.
• Oversee process documentation & completeness associated with archiving & decommissioning processes
• Own documentation governance for the domain, ensuring a single source of truth linked to release processes; audit adherence, resolve inconsistencies, and mandate updates after changes
• Oversee access policies, workspace structures, and permission models in partnership with technical owners.

Technical skills

• Business intelligence (BI) reporting and visualization tools:
  Experience in setting domain-wide standards for dashboard usability, consistency, and adoption across platforms (e.g., Qlik Sense, Power BI, Thought Spot, Tableau)-
• Data literacy:
  Deep understanding of data literacy best practices, including defining storytelling guidelines, executive readout formats, and review cadences.
• Data preparation and quality checks:
  Understanding requirements to establish a governance model for light wrangling and validation including reconciliation patterns, tolerance thresholds, User Acceptance Testing (UAT) signoff criteria, and escalation paths.
  
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• Spreadsheet and tabular proficiency:
  Understanding best practices related to standardization of templates, checklists, and controls for spreadsheet-based analysis and QA to reduce variability and error rates.
• Strong working knowledge of Software Development Lifecycle (SDLC)
• Advanced knowledge of Good Clinical Practice (GCP) and clinical trial operations
• Strong understanding of database concepts, data quality, lineage, and governance
• Understanding of best practices related to standing up technical enablement and change management programs.
• Understanding of analytics/programming concepts and ability to collaborate with technical partners to validate data and prototype solutions
• Ability to connect business outcomes to technical…