VP of Data, Technology

4 days ago


Washington, Washington, D.C., United States Colorectal Cancer Alliance Full time $160,000 - $180,000 per year

TITLE:
VP of Data, Technology & Analytics

ORGANIZATION:
Colorectal Cancer Alliance

LOCATION:
Washington DC Based (Hybrid)

POSITION TYPE:
Full-Time, Exempt

REPORTS TO:
Chief Data & Analytics Officer

COMPENSATION
: $160,000-$180,000 annual salary; Healthcare benefits are available for this role.

ORGANIZATION OVERVIEW:

The Colorectal Cancer Alliance is a national nonprofit organization committed to ending colorectal cancer within our lifetime. We help patients, families, survivors, and caregivers navigate diagnosis and treatment options, connect them with those who can share experiences and knowledge, and identify resources to meet their needs. We partner with healthcare professionals and social influencers to raise awareness of preventative screening, and we collaborate with researchers to better understand the disease and fund critical research. Our efforts are urgent, effective, and efficient because we believe that tomorrow can't wait.

POSITION OVERVIEW:

The Vice President of Data, Technology & Analytics leads the Colorectal Cancer Alliance's enterprise-wide digital, data, and cloud strategy and engineering—building and managing the integrated ecosystem that powers prevention, care, and research through BlueHQ (Patient PRM & Engagement Platform), BlueLake (Clinical Trials and Real-World Data & Unified Research Hub), and K-SPY (Adaptive Clinical Trials Medicine Platform).

This role unites engineering, data governance, analytics, and AI innovation under one mission: to transform the Alliance into a data-driven, patient-centric, precision-oncology ecosystem.

The VP serves as the chief architect and operational steward of a HIPAA-compliant, AI-ready environment spanning AWS, Salesforce, REDCap, and MuleSoft, ensuring that data, systems, and people converge to deliver measurable mission impact.

The position is 80% technical hands-on and leadership, 20% strategic collaboration.

POSITION RESPONSIBILITIES:

Key responsibilities include, but are not limited to:

  1. Strategic Leadership & Vision

  2. Own and execute the enterprise data and technology roadmap for BlueHQ (patient platform), BlueLake (data & AI environment), and K-SPY (clinical trial infrastructure).

  3. Drive convergence of DataOps, DataGovOps, MLOps, and AIOps to support MissionOps — aligning infrastructure with patient and research outcomes.
  4. Serve as executive sponsor for engineering, AWS partnership, Salesforce Nonprofit Cloud modernization, and the AI/Analytics strategic plan.
  5. Translate complex data and technology strategies into clear business and mission outcomes for executive leadership, board, and funders.

  6. Architecture, Engineering & Platform Development

  7. Oversee design and operation of cloud-native platforms using AWS HealthLake, Redshift, Glue, Lake Formation, and SageMaker.

  8. Direct platform engineering teams to ensure scalable, secure, applicable zero-copy architectures across environments (Dev, Stage, Prod).
  9. Lead EMPI design and integration for identity resolution across BlueHQ, BlueLake, Salesforce, K-SPY, and external partners.
  10. Ensure modern CI/CD, Infrastructure-as-Code, and observability practices (Terraform, EKS, CloudWatch, etc.).

  11. Data Architecture, Management & Modeling

  12. Oversee all enterprise data domains, including patient registries, clinical and non-clinical datasets, and integrations with FHIR-based EHR sources (REDCap, Epic, Cerner, etc.).

  13. Lead the evolution of Electronic Data Capture (EDC) & Real-World Data (RWD) infrastructure, ensuring seamless clinical trial data ingestion, staging, and analytics (e.g., REDCap, Case Report Forms).
  14. Direct data modeling and schema harmonization across BlueLake, BlueHQ, and K-SPY using FHIR, OMOP, and internal canonical models.
  15. Lead the design of ETL/ELT and transformation pipelines leveraging SQL, dbt, Glue, and Lake Formation to ensure accurate, high-quality, and reproducible data flows.
  16. Govern data lake and warehouse architectures (Redshift, Athena) for zero-copy analytics and AI readiness.
  17. Enable semantic and federated data access for researchers and analysts while enforcing PHI security and governance policies.

  18. Data Governance, Quality & Compliance

  19. Operationalize Data Governance → DataGovOps, embedding policies into code and automation pipelines.

  20. Oversee metadata management via DataHub (catalog), ensuring lineage, access control, and policy enforcement.
  21. Establish and maintain compliance frameworks: HIPAA, 21 CFR Part 11, GDPR, HITRUST, and NIST CSF.
  22. Champion ethical AI and data equity principles across all initiatives.

  23. Analytics, AI & Insights

  24. Build and scale a cross-functional analytics capability leveraging dbt, Tableau, SageMaker, and Bedrock.

  25. Enable RWD and RWE generation for internal programs and external (pharma, diagnostics) partnerships.
  26. Lead AI/ML initiatives for predictive navigation, patient triage, and research insights, including the emerging BioRepository and AI Stack.
  27. Collaborate with Clinical, Research, and Navigation teams to translate data into outcomes, models, and publications.

  28. Team Leadership & Talent Development

  29. Manage an integrated team of Data Engineers, Platform Engineers, Analysts, Scientists, and Governance Leads.

  30. Foster a DevOps/Agile culture emphasizing trust, collaboration, automation, and continuous improvement.
  31. Mentor technical and non-technical staff to elevate organizational data literacy.
  32. Partner with HR to define technical career paths and training programs.

  33. Partnerships, Funding & External Engagement

  34. Partner with AWS, Microsoft, and industry collaborators to accelerate AI and cloud innovation.

  35. Support development teams in securing pharma, foundation, and technology investments aligned to BlueLake and BlueHQ sustainability.
  36. Represent CCA in strategic forums, grants, and joint R&D initiatives with biopharma, diagnostics, and academic partners.

REQUIREMENTS:

Experience

  • 12+ years in data engineering, data science, or enterprise technology leadership roles, including 5+ years at vice president or senior-director level.
  • Proven record of architecting secure, compliant, cloud-based data ecosystems (AWS required) in clinical, health, life science or similar position.
  • Experience with modern data tools (dbt, Rhapsody, Redshift, Glue, MuleSoft, DataHub, SageMaker, REDCap).
  • Demonstrated ability to lead multidisciplinary teams across data, analytics (AI/ML), software engineering, data engineering, and analytics engineering.
  • Experience with healthcare and research environments, including HIPAA, eSource, and FHIR standards.

Skills & Attributes

  • Strategic thinker with strong systems engineering and governance mindset.
  • Fluent in both technical and non-technical communication—able to brief execs, boards, and funders.
  • Experienced in agile project management, DevOps, and cross-functional leadership.
  • Passion for patient-centric innovation, precision medicine, and social impact.

SALARY RANGE:

Competitive non-profit salary, typically ranging from
$160,000-$180,000
based on experience and qualifications.

HOW TO APPLY:
To apply, please click here to be directed to our application site.

To see all employment opportunities at the Alliance, please click here to be directed to our careers site.

If you encounter any issues with this application, please contact us at

STATEMENT OF NON-DISCRIMINATION:
The Colorectal Cancer Alliance does not discriminate on the basis of race, color, gender, disability, age, religion, sexual orientation, nationality, or ethnicity. We are strongly committed to hiring a diverse and multicultural staff and encourage applications from all backgrounds.



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