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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expert-level proficiency in programming languages such as Python, R, SAS, and SQL, alongside a deep understanding of clinical data programming and data engineering. Proven ability to lead transformation initiatives, manage diverse teams, and implement data integration and automation strategies across complex projects.
Highest-signal resume keywords
Expert-Level Proficiency In PythonExpert-Level Proficiency In RExpert-Level Proficiency In SASExpert-Level Proficiency In SQLExperience With Cloud-Based Pipelines
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Clinical Data ProgrammingData EngineeringData IntegrationAutomationAdvanced AnalyticsData VirtualizationData Management GovernanceOperational MetricsQuality FrameworksAnalytical Tools
Soft Skills
Strategic LeadershipStakeholder ManagementChange LeadershipExcellent CommunicationCoaching
Tools & Technologies
Azure Data FactoryAWS GlueDatabricksEDC PlatformsCloud Computing Platforms
Industry Keywords
Clinical DevelopmentFDA RegulationsGxP GuidelinesICH GuidelinesData PrivacyInspection-Readiness
Tech Stack
Tools & technologiesAWSAzureCloudPythonSDLCSQL
About the role
Key responsibilities & impact- Lead programming and reporting strategy and delivery across therapeutic areas
- Define long-term strategy for data integration, reporting, automation, and analytics enablement
- Establish and improve programming and reporting standards, frameworks, and operating models
- Manage service provider partnerships and ensure audit readiness and quality benchmarks
- Oversee programming and reporting delivery across complex studies and projects
- Provide subject matter expertise in programming, reporting, data engineering, and clinical data flows
- Develop critical data capabilities, tools, processes, and skills
- Champion automation, continuous improvement, and metadata-driven development
- Drive initiatives using AI/ML, advanced analytics, and data virtualization
- Solve operational challenges and implement process and technology improvements
- Translate complex technical insights into strategic outcomes and partner across teams
- Align teams, set objectives, assign work, and manage priorities
- Coach employees, conduct reviews, provide recognition, and develop career plans
- Lead recruiting, hiring, performance management, and employee-relations matters with HR
- Coordinate onshore, offshore, and contingent resources
- Manage operating budgets and optimize spending
- Lead transformation and change initiatives across regions and functions
Requirements
What you’ll need- Bachelor's Degree with a minimum of 10 years’ experience working in clinical data programming, data engineering, or related data-management/clinical operations functions, plus 3 years of people management experience and demonstrated deep subject matter expertise in clinical development; OR Advanced Degree (Masters or Doctorate) with a minimum of 8 years’ experience in these functions, plus 3 years of people management experience and demonstrated deep subject matter expertise in clinical development
- Expert-level proficiency in programming languages such as Python, R, SAS, and SQL
- Expert knowledge of standards and enterprise data management principles
- Expertise in interoperability of EDC platforms, data integration environments, clinical operations systems, and cloud computing platforms
- Experience designing or managing cloud-based pipelines such as Azure Data Factory, AWS Glue, and Databricks
- Demonstrated success managing outsourced programming operations and global delivery partners
- Deep understanding of end-to-end data management governance, clinical operations, operational metrics, and quality frameworks
- Proven track record implementing risk-based and digital data practices across multiple regions
- Advanced use of analytical and forecasting tools
- Knowledge of SDLC/CSV, data privacy, and inspection-readiness requirements
- Deep knowledge of drug discovery processes, FDA regulations, and GxP / ICH guidelines
- Strategic leadership, stakeholder management, negotiation, change leadership, and organizational strategy skills
- Demonstrated success managing large, diverse, and geographically distributed teams
- Strong understanding of operational, financial, and compliance dimensions of global data delivery
- Ability to lead transformation initiatives and foster innovation across complex organizations
- Excellent communication and ability to translate technical and operational priorities into actionable direction
- US and Puerto Rico residency requirement
- Visa sponsorship is not available
Benefits
Comp & perks- Annual bonus and long-term incentive, if applicable
- Medical, dental, vision healthcare and other insurance benefits for employee and family
- Retirement benefits, including 401(k)
- Paid holidays
- Vacation
- Compassionate and sick days
- Hybrid flexible work arrangements
- Domestic relocation