Manager, Data and Analytics

Orlando, FL 32801

Post Date: 06/20/2018 Job ID: 29947 Industry: Other Area(s)

RESPONSIBILITIES: 
Develop and execute the enterprise data and analytics strategy and roadmap for the Commission based on business needs and priorities. Translate that strategy and roadmap into an actionable plan and deliver data and analytics governance, tangible analytical capabilities, and business, market, and competitive intelligence insights to the business. Oversee critical and business-relevant data analytics activities in alignment with the company’ s overall vision and strategic direction. Leverage a collaborative approach in identifying data needs and issues, and promoting the cultivation of analytics capabilities across the company to help drive adoption of data-driven decision making. Lead the development of the Data & Analytics Center of Excellence and cultivation of the analyst community.

 

Primary Functions:
  • Establish an enterprise data roadmap, guide data strategy and prioritization with senior leadership, collaborate with key business stakeholders, and lead a team of business and technical resources to deliver enterprise data
  • Build a vision for the Data & Analytics Center of Excellence (DACE), gaining buy in from leadership and cross-functional partners through clearly demonstrated value of analytics and data driven decision making
  • Create and act as chair for the DACE governing body that will be focused on enabling enterprise maturity of data and analytical capabilities through cross-functional collaboration and input on important data and analytics decisions
  • Champion the development and/or support of purpose-built analytical capabilities focused on driving data driven decisions
  • Provide subject matter expertise on analytics best practices to inform data prioritization and ensure appropriate integration with business processes
  • Enhance the achievement of short and long-term goals for the business needs through data storytelling that directs business leaders, users, and data producers to make strategic decisions, and adopt best practices and better quality standards for their respective areas
  • Conduct SWOT analysis on identified topics and deliver completed analysis to senior staff, directors, and managers with recommendations
  • Establish an analyst community across business units to promote transparency and knowledge sharing and drive data and analytics maturity across the organization to achieve best in class
  • Establish a high performing analytics team that will help deliver enterprise data strategy and stewardship, help mature business analytics and visualization in priority areas, and establish capabilities to provide advanced analytics for specific use cases
  • Guide the development of critical data and analytic infrastructure by partnering with the technical team to identify and implement analytics tools to advance analytics maturity
  • Bridge the gap between the business units and IT groups, and serve as an intermediary to translate business desires for functionality into technical plans, and conversely, technical constraints into business reality
  • Serve as an advocate for both business value and healthy information architecture, balancing immediate analytic business value with strategic and scalable data assets
  • Responsible for selecting, evaluating, and hiring prospective employees
  • Manage, coach, develop, and perform corrective action/discipline to employees; assist team in technical guidance and direction
  • Provide one-on-one performance feedback to employees and facilitate a process for effective cross training; perform annual employee performance appraisals
     

QUALIFICATIONS:
  • Bachelor’ s Degree in Data/Computer Science, Information Systems, Business Information Management, Statistics, Analytics, Mathematics, or Business Management from an accredited college or university
  • Minimum of eight (8) years of experience in any combination of analytics-focused role with functional experience building and managing analytics Center of Excellence, Executive Dashboards, etc. to include managerial/supervisory experience or managing projects and/or teams
  • Certification in data analytics preferred.
  • Working knowledge of all, but not limited to, the following:
    • Building enterprise data and analytics strategy
    • Visualization and self-service data prep
    • Enterprise class data and reporting and analytics platforms
  • Familiarity with all, but not limited to, the following:
    • Software Applications (i.e., Analytics tools such as SAS, R, SPSS, Tableau, OBIEE, Qlik, Cognos)
    • Related industry, organizational and departmental policies, practices, and procedures; legal guidelines, ordinances, and laws
  • Ability to:
    • Develop high impact presentations that tell data stories
    • Demonstrate excellent verbal and written communication and collaboration skills to effectively communicate with both business and technical IT teams
    • Exhibit strong networking skills and ability to work across multiple organizations to accomplish diverse goals
    • Guide data scientists in development of statistical models, poke at model statistics & conclusions
    • Think and plan strategically with ability to communicate the strategy to a large organization
    • Demonstrate a successful track record working with executive level professionals to drive business outcomes
    • Demonstrate understanding of data and analytical business capabilities and methods, including applications in data science
    • Display strong skills in team leadership and building positive business partner relationships, including ability to motivate and mentor others
    • Display advanced experience and understanding in the design and interaction of business systems, data architecture, data sets, and applications
    • Demonstrate experience in intelligence gathering, executive reporting and project management
    • Rapidly learn and adapt to changing analytical and reporting systems
    • Make arithmetic computations using whole numbers, fractions and decimals, and compute rates, ratios and percentages; understand and apply governmental accounting practices in maintenance of financial records
    • Use Microsoft Office Suite (Outlook, Word, Excel, Power Point, etc.) and standard office equipment (telephone, computer, copier, etc.). 

 

Comments/Special Instructions 
Candidates for this position must have been involved in the management of or the creation of a Center of Excellence for data analytics. This position may be direct hire or temp to hire. Phone interviews will be required and in-person interviews would be required for final candidates. 

 
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