Head of Data and Analytics Boston, MA

Company: Tbwa Chiat/Day Inc
Location: Boston
Posted on: March 24, 2025

Job Description:

Innovation and creativity come from the unique perspectives of a diverse staff.We value your perspective.Who We Are: The Museum of Science is dedicated to inspiring a lifelong love of science in everyone. We are committed to inclusivity, innovation, and education, serving diverse communities through our exhibits, programs, and outreach efforts.Why We Need You: Join the Museum of Science IT leadership team to spearhead a transformative data and analytics strategy that advances our mission of inspiring a lifelong love of science!As the Head of Data, you will shape and execute an organization-wide strategy, evolving our data and analytics maturity from "Early" to "Proficient." You'll build and mentor a high-performing data team, collaborate with cross-functional partners (Advancement, Membership, Marketing, Digital, Finance, etc.), and foster a culture where data and insights are a strategic asset driving revenue growth and mission-driven initiatives.What You'll Accomplish:Develop & Execute Data and Analytics Strategy: Champion a data roadmap aligned with the Museum's long-term goals, taking our data maturity from "Early" to "Proficient." Establish metrics and milestones to measure progress and continually refine the data strategy.Build & Lead a High-Performing Data Team: Recruit, mentor, and empower a team of 3-5 data professionals (Data Engineers, Analytics Engineers, Data Analysts). Foster a collaborative, inclusive environment that supports professional growth and innovative thinking.Implement Robust Data Governance: Design and enforce policies, procedures, and frameworks to maintain data integrity, quality, and security. Ensure compliance with all relevant regulations (GDPR, CCPA) and Museum policies.Optimize & Scale Data Infrastructure: Oversee the Museum's Cloud data warehouse and ETL/ELT processes to maximize performance, scalability, and cost-effectiveness. Evaluate new tools and technologies that support emerging data needs and strategic priorities.Promote a Data-Driven Culture: Champion data literacy throughout the Museum by providing training, resources, and ongoing support. Collaborate with departments such as Advancement, Membership, Marketing, Finance, and others to drive evidence-based decision-making.Support Revenue & Mission-Driven Initiatives: Use data insights to enhance fundraising, targeted marketing, visitor engagement, and mission-focused programs. Develop advanced reporting and segmentation strategies to increase participation in educational offerings and events.Additional Responsibilities: Contribute to special projects and other duties as assigned to ensure overall success and operational efficiency.What We're Looking For (Competencies):Leadership & Communication:

• Proven ability to craft and execute a data and analytics strategy aligned with long-term goals, advancing data maturity with measurable impact. Skilled in engaging and influencing stakeholders to drive alignment and organizational buy-in for data initiatives.
• At least 5 years of experience building, mentoring, and managing high-performing data teams, with a track record of delivering measurable success in an agile environment.
• Experience managing relationships with external vendors and negotiating contracts for data tools and technologies.
• Experience managing budgets for data initiatives, optimizing costs, and ensuring reliable, scalable, and efficient data systems.
• Experience designing and delivering data literacy training programs for non-technical stakeholders to foster a data-driven culture.Technical Chops:
  • Proficiency with Snowflake or similar cloud-based data warehouses, analytics tools (e.g., Power BI, Tableau, or Looker), and building transformation logic with dbt. Expertise in ELT workflows, SQL, and working knowledge of Python and/or R for advanced analytics and automation. Ability to optimize query performance, reduce data latency, and improve system efficiency.
  • Cloud & Data Ecosystem Knowledge: Deep understanding of cloud platforms (e.g., Azure, AWS, or GCP) and integrating diverse data sources (e.g., APIs, third-party tools) into centralized systems.
  • Data Governance & Compliance: Familiarity with GDPR, CCPA, and best practices for data security, privacy, and integrity.
  • Emerging Technology Awareness: Awareness of evolving tools and trends in data infrastructure, analytics, AI, and digital transformation to keep the organization at the forefront of innovation.
  • Machine Learning & AI: Familiarity with applying machine learning models and AI-driven analytics to support advanced insights and predictive capabilities.Analytical Skills:
    • Data-Driven Impact: Ability to leverage data insights to drive mission-critical initiatives such as fundraising, targeted marketing, visitor engagement, and program participation.
    • Advanced Statistical Analysis: Proficiency in advanced statistical methods for hypothesis testing, modeling, and forecasting.How We Work - Our Values:Everyone: We are everyone's museum. We pursue equity and celebrate every person for who they are. We foster an inclusive environment in which we value and respect diversity.Service: We serve our colleagues and community. We hold ourselves accountable to be a trustworthy public resource and to support a sustainable, just, and evidence-based future.Learning: We love learning. We are curious about the world and want to share our joy and wonder with others. We value open minds and recognize that everyone has more to explore, discover, and create.Connection: We find strength in connections. We collaborate across communities, organizations, and disciplines to make science relevant and accessible to all.Boldness: We dream big. We boldly push ourselves forward, pursuing new ideas and challenges. We experiment and learn from our failures as we seek to inspire purpose, spark imagination, and encourage hope.Salary Range: $123,000 - $154,000 USDThe Museum of Science is fully committed to Equal Employment Opportunity and to attracting, retaining, developing, and promoting the most qualified employees without regard to their race, gender, color, religion, sexual orientation, national origin, age
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