Senior Vice President, Data & Analytics

The Senior Vice President of Data & Analytics is responsible for leading and directing the agency's Business Intelligence (BI) strategy, ensuring that data-driven insights effectively support business objectives and strategies. This senior leadership role involves managing BI teams, overseeing data governance, and implementing advanced analytics and reporting solutions to drive informed decision-making across the agency.

POSITION SPECIFIC DUTIES & RESPONSIBILITIES:  

Provides strategic leadership for the FCS Data team and all Business Intelligence related activities across the agency.

• Works with CIO and FCS ELT to identify and implement vision and roadmap for agency Data and Business Intelligence initiatives.

• Develop and execute a comprehensive BI strategy aligned with the agency's overall business goals and objectives.

• Identify opportunities to leverage data and analytics to drive agency growth, operational efficiency, compliance, and competitive advantage.

• Architect, build and oversee shared data infrastructure.

• Act as a key advisor to the executive team, providing insights and recommendations based on data analysis and trends.

• Enable and lead through direct and “dotted line” leadership over distributed agency data analysts.

• Collaborate with agency departments and programs to understand their data needs and provide tailored BI solutions.

• Communicate complex data insights and findings to non-technical stakeholders in a clear and actionable manner.

• Foster strong relationships with external partners, vendors, and consultants as needed.

• Work closely with IT Applications team to develop and maintain APIs to populate application data into the EDW.

• Ensure the BI team effectively communicates and coordinates cross-departmental training to promote consistent and accurate use of key BI reports and dashboards.

Provides performance management and leadership over the BI Team.

• Lead and manage a team of BI professionals, including data analysts and BI developers.

• Lead team to develop predictive and prescriptive analytics using AI and Machine Learning.

• Mentor and develop team members, fostering a culture of innovation, collaboration, customer service, and continuous improvement.

• Oversee recruitment, training, and performance evaluation for the BI team.

• Monitor and evaluate the effectiveness of BI initiatives, making adjustments as needed to improve outcomes.

• Develop and track key performance indicators (KPIs) to assess the impact of BI efforts on business performance.

• Implement best practices and process improvements to enhance the efficiency and effectiveness of BI operations

Implements and enforces Data Management and Governance.

• Establish and enforce data governance policies and practices to ensure data accuracy, consistency, and security.

• Develop common data and semantic models to incorporate both internal and external disparate data sources into a comprehensive data platform.

• Oversee data integration from various sources, both internal and external, ensuring high-quality data for analysis and reporting.

• Ensure compliance with relevant data protection regulations and industry standards.

Provides actionable and accurate analytics and reporting.

• Design and implement advanced analytics and reporting solutions to provide actionable insights and support data-driven decision-making.

• Oversee the development of dashboards, reports, and visualizations that effectively communicate key metrics and performance indicators.

• Utilize AI/ML, statistical, and predictive modeling techniques to forecast trends, support research, and identify opportunities.

QUALIFICATIONS

education:

• Bachelor’s degree in Business Administration, Data Science, Computer Science, or a related field required.

• Master's degree or MBA preferred.

EXPERIENCE:

• 10+ years in a managment position.

• 5+ years of experience in BI, data science, data analytics, or a related field.

• 5+ years of experience with data governance, data management, and data intergration best practices.

PERFORMANCE COMPETENCIES:

• Leadership

• BI Implementation and Management

• Data Management and Governance 

KNOWLEDGE/SKILLS/ABILITIES:

• Knowledge of BI tools and platforms (e.g., SSRS, SSIS, Power BI) and data management systems (e.g., SQL Server, Cache).

• Excellent analytical, problem-solving, and decision-making skills.