Location: Tallahassee, FL
Duration: 12 Months

The Director of Program Management will lead the implementation of the Data & Analytics (D&A) strategy for the Department. This role is essential to support and enhance the Department’s data and analytics needs, driving innovation and efficiency in data utilization.

• Bachelor’s or Master’s degree in Data Science, Environmental Science, Information Science, Information Technology, or a related field, or equivalent work experience.

Data Strategy and Leadership:

• Revitalize and implement a comprehensive D&A strategy aligned with the Department’s mission and strategic objectives.
• Drive innovation, efficiency, and effectiveness in D&A utilization.

Data Governance:

• Establish and enforce data governance policies, standards, and procedures.
• Ensure the integrity, quality, privacy, and security of data assets in compliance with regulatory requirements and industry best practices.

Data Architecture and Infrastructure:

• Oversee the design, development, and optimization of scalable data architectures and infrastructure.
• Support the collection, storage, integration, and analysis of data assets from diverse sources.

Data Analytics and Insights:

• Lead the development and deployment of advanced analytics and data science capabilities.
• Derive actionable insights from data assets to inform decision-making and enable continuous improvement in environmental conservation and restoration efforts.

Data Literacy:

• Advocate for training among stakeholders and develop relevant curricula for various data roles in the agency.
• Lead training sessions as needed to promote data literacy.

Stakeholder Engagement:

• Collaborate with internal and external stakeholders, including senior leadership, program managers, scientists, policymakers, and external partners.
• Understand data needs, prioritize initiatives, and promote data-driven decision-making throughout the organization.

Talent Development, Skills, and Career Development:

• Lead a high-performing D&A team, fostering a culture of collaboration, innovation, and excellence.
• Provide guidance, mentorship, and professional development opportunities to team members.

Technology Evaluation and Innovation:

• Coordinate with the Data Architect to evaluate emerging technologies, tools, and platforms in data management, analytics, and visualization.
• Identify opportunities for innovation and optimization to enhance the department’s data capabilities and outcomes.

Performance Measurement and Reporting:

• Establish key performance indicators (KPIs) and metrics to monitor and evaluate the effectiveness of data initiatives and investments.
• Prepare regular reports and presentations for senior leadership and stakeholders.

Leadership and Mentorship:

• Provide leadership, guidance, and mentorship to junior staff members and colleagues.
• Foster a culture of continuous learning, innovation, and excellence in D&A practices.

• Experience: 10-15 years in data management, metadata management, data governance, or information management, with proven experience in senior leadership roles overseeing data management, analytics, and governance initiatives. (Proficiency level – 5)
• Data Governance Principles: Broad understanding of data governance principles, data architecture, data analytics, and emerging technologies in data management and analytics. (Proficiency level – 5)
• Leadership and Communication: Excellent leadership, communication, and interpersonal skills. (Proficiency level – 5)
• Influence and Inspiration: Ability to influence and inspire cross-functional teams and stakeholders at all levels of the organization through storytelling, teamwork, and collaboration. (Proficiency level – 5)
• Strategic Thinking: Strategic thinking, problem-solving, and decision-making abilities with a track record of driving organizational change and achieving measurable results through data-driven approaches. (Proficiency level – 5)
• Relationship Management: Excellent relationship management skills, including building relationships and trust through active listening, demonstrated interest in business challenges, and time spent assisting colleagues. (Proficiency level – 5)
• Communication Skills: Excellent oral (presenting and public speaking) and written (documentation, briefing reports, correspondence, PowerPoint presentations, etc.) communication skills. (Proficiency level – 4)
• Technical Translation: Ability to translate technical insights into actionable strategies and initiatives. (Proficiency level – 4)
• Work Prioritization: Ability to determine work priorities and ensure proper completion of work assignments. (Proficiency level – 4)

• Contextual Experience: Experience in data management, metadata management, data governance, or information management in a scientific, governmental, or environmental context.
• Environmental Science Knowledge: Strong understanding of environmental science concepts, regulations, and challenges.
• Specialized Data Knowledge: Familiarity with water quality, air quality, waste management, land conservation, or public recreation data.
• Emotional Intelligence: Strong emotional intelligence skills.
• Facilitation Skills: Experience with facilitation to elicit ideas from others, understand their issues, and encourage group participation.