Senior Director of Data Analytics

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This range is provided by SBS Creatix. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$/yr - $/yr

General Info:

US Citizen or GC Holders only

No C2C, must be on our W2

Bachelors Degree Required

Position Overview:

The Senior Director of Data Analytics is a strategic and hands-on leader responsible for designing and executing a data strategy that empowers evidence-based decisions across the organization. This role leads the development of a centralized data warehouse, enterprise analytics, and strong data governance practices. It also drives advanced analytics – including predictive modeling – to generate insights that improve outcomes, identify risks, and maximize impact.

The position is instrumental in guiding strategic decisions, program innovation, and performance measurement across all sites and services.

Professional Experience:

• 10+ years of progressive experience in data analytics.
• Proven ability to build scalable data infrastructure, ideally in nonprofit, social impact, or healthcare settings.
• Proficiency in data science tools/languages (e.g., SQL, Python, R) and visualization platforms (e.g., Tableau, Power BI, Looker).
• Demonstrated experience with predictive modeling, machine learning, and statistical analysis.
• Experience implementing data governance frameworks and managing data quality/stewardship.
• Exceptional communication skills – able to translate complex analytics into strategic insights.

Key Responsibilities:

• Lead the development and execution of the organization’s data strategy in alignment with overall goals.
• Oversee the creation of a centralized data warehouse and implement governance frameworks to ensure data integrity.
• Establish a measurement framework to evaluate program effectiveness and community impact.
• Collaborate with leadership to define key performance indicators (KPIs) and track progress.
• Act as a strategic partner, translating insights into actionable decisions.
• Drive continuous improvement through internal reporting and program metrics.

Data Quality, Governance & Stewardship

• Develop and enforce data governance policies in partnership with IT, emphasizing integrity, privacy, and access.
• Maintain data dictionaries, metadata standards, and audit protocols.
• Ensure infrastructure security and regulatory compliance through collaboration with IT and vendors.
• Oversee data validation processes to uphold quality standards.
• Ensure adherence to all federal, state, and local data regulations.

Advanced Analytics & AI

• Develop predictive models to enhance participant outcomes, optimize program delivery, and inform resource allocation.
• Leverage natural language processing (NLP) to analyze qualitative data and improve service insights and strategies.
• Apply geospatial analytics for site planning and assessing community needs.
• Monitor emerging trends in AI, automation, and data science to identify innovative solutions that advance organizational objectives.

Performance Reporting & Measurement

• Design and maintain dashboards and reporting tools in collaboration with IT.
• Lead organization-wide efforts to define, monitor, and communicate KPIs.
• Work closely with program and evaluation teams in support of grant management, ensuring accurate tracking, analysis, and reporting of program outcomes to support compliance.
• In partnership with the CEO, turn data into compelling stories that can be used to drive engagement and support.

Cross-Functional Collaboration and Leadership

• Collaborate with functional leaders across Program, Development, Finance, HR, Learning & Development, and IT to align data strategies with organizational goals.
• Collaborate with internal stakeholders to understand operational models and develop data collection processes that align with goals and funder requirements.
• Represent the organization in data-driven collaborations, research initiatives, and external presentations to advance thought leadership and partnership opportunities.

Preferred Education:

• Master’s or Ph.D. in Data Science, Public Policy, Statistics, Computer Science, or related field.
• Experience with NLP tools and frameworks and GIS/geospatial platforms.
• Familiarity with logic models, outcomes frameworks, or evidence-based program evaluation.

• Seniority level
  
  Mid-Senior level

• Employment type
  
  Contract

• Job function
  
  Information Technology
• Industries IT Services and IT Consulting

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