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Director Impact Measurement Jobs (NOW HIRING)

Sarona

Impact Associate

$15.25 - $20.25/hr

... measurement and reporting, and learning efforts across its investment funds, Technical Assistance (TA) programs, and ecosystem-building initiatives. Working closely with the Director of Impact and ...

Burlington

Director, Community Impact

Kingsbury, NV · On-site

$24.25 - $33/hr

The Director is responsible for the Foundation's grantmaking portfolio, charitable partnerships ... Impact Measurement, Financial Stewardship & Program Effectiveness * Develop and maintain Burlington ...

Burlington Stores

Director, Community Impact

Burlington, NJ · On-site

$24.50 - $33.25/hr

The Director is responsible for the Foundation's grantmaking portfolio, charitable partnerships ... Impact Measurement, Financial Stewardship & Program Effectiveness * Develop and maintain Burlington ...

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Director Impact Measurement information

What does a director of impact measurement do?

A Director of Impact Measurement is responsible for designing, implementing, and overseeing strategies to assess the effectiveness and outcomes of an organization’s programs or initiatives. They develop frameworks and tools to measure social, environmental, or economic impact, analyze data, and report findings to stakeholders. This role often involves collaborating with program teams, leadership, and external partners to ensure that impact measurement aligns with organizational goals and drives continuous improvement.

What are some common challenges faced by a director of impact measurement, and how can they be addressed?

A Director of Impact Measurement often encounters challenges such as aligning diverse stakeholders on what metrics truly reflect impact, ensuring data collection methods are consistent across programs, and communicating complex results in a clear, actionable way. To address these, it's important to establish transparent processes, foster collaboration across departments, and invest in staff training on data literacy. Regularly reviewing and refining measurement frameworks with input from both leadership and frontline teams also helps ensure the data remains relevant and actionable.

What are the key skills and qualifications needed to thrive as a director of impact measurement, and why are they important?

To thrive as a Director of Impact Measurement, you need expertise in data analysis, program evaluation, and a strong background in social sciences, statistics, or a related field, often supported by an advanced degree. Familiarity with data visualization tools, impact measurement frameworks (like Theory of Change or SROI), and advanced analytics software is typically required. Strong leadership, stakeholder engagement, and communication skills distinguish top performers in this role. These skills are crucial for accurately assessing program effectiveness, guiding organizational strategy, and effectively communicating impact to internal and external audiences.

What are popular job titles related to Director Impact Measurement jobs?

For Director Impact Measurement jobs, the most frequently searched job titles are:

Infographic showing various Director Impact Measurement job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution.

Director, Analytics Standards & Impact Measurement

East Hanover, NJ • On-site

Novartis
Pharmaceutical and Medicine Manufacturing • 10K+ employees
Learn more about Novartisexternal

Full-time

Re-posted 20 days ago

Novartis rating

7.8

Company rating: 7.8 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

Job Summary:
Novartis has an exciting opportunity for a Director, Analytics Standards & Impact Measurement. This role is responsible for establishing enterprise-wide standards for advanced AI, ML, and data science rigor, defining measurement frameworks, and quantifying the business impact of all analytics and AI initiatives across Commercial Analytics.
Responsibilities:
• Define enterprise-wide AI, ML, and data science standards embedded into self-serve analytics platforms, ensuring citizen data scientists follow rigorous methodologies automatically.
• Establish model validation protocols, testing frameworks, and quality gates built into automated workflows for predictive models and AI solutions.
• Create standardized methodologies for common use cases (patient predictive models, HCP targeting, driver analysis) that can be templatized for citizen data scientists.
• Define enterprise-wide frameworks for measuring analytics impact including lift analysis, ROI calculation, incrementality measurement, and business value assessment.
• Execute enterprise-level impact measurement studies to quantify business value of analytics initiatives and report quarterly/annual ROI to leadership.
• Establish production-readiness criteria for AI/ML models from self-serve platforms, including quality thresholds, documentation requirements, and approval workflows.
• Ensure all AI, ML, and data science outputs meet regulatory requirements ( HIPAA, GDPR, promotional review) and partner with Legal, ERC, and Medical Affairs on governance.
• Monitor outputs from self-serve platforms, conduct model audits, and provide feedback to platform teams on quality improvements.
Qualifications:
Required:
• Advanced degree in Data Science, Machine Learning, Statistics, or related quantitative field; or bachelor’s degree with 10+ years relevant experience.
• 10+ years of experience in data science, machine learning, advanced analytics, or AI development.
• 5+ years of leadership experience setting AI/ML standards and measuring impact in commercial pharma or healthcare.
• Expert knowledge of advanced analytics methodologies: machine learning, causal inference, experimental design, predictive modeling, AI validation.
• Deep knowledge of pharmaceutical analytics and regulatory environment for AI/ML applications.
• Proficiency in data science/AI programming and AI/ML platforms.
• Proven ability to influence without direct authority and drive adoption of AI/ML standards across diverse teams.
• Exceptional communication skills; ability to translate complex AI/ML concepts for business audiences and executives.
Preferred:
• Experience with self-serve analytics and AI platforms and embedding governance into automated workflows.
• Strong business acumen with ability to measure and communicate ROI of AI/ML initiatives to C-suite.
• Systems thinker who can balance AI/ML rigor with practical business needs and timelines.
• Experience building communities of practice and enabling citizen data scientists in AI/ML development.
Company:
Novartis is a pharmaceutical company that researches and develops medicines for serious diseases to improve and extend people's lives. It is a sub-organization of Meye Asset Management. Founded in 1996, the company is headquartered in Basel, CHE, with a team of 10001+ employees. The company is currently Late Stage.

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