Lead the development and execution of a strategic vision for business performance data and analytics
Form a deep understanding of how senior leaders diagnose and make data-driven decisions by building relationships with key stakeholders at all levels of the organization
Understand the needs of senior leaders, prioritize requirements, and execute a plan to address their needs, including partnering with design and development team
Be a thought leader for planning company goals and critical KPIs/success metrics
Drive the vision, strategy, and roadmap for company-level dashboards
Define the end-to-end process for data collection, automation, analysis, and dashboard design and development
Develop and implement a data governance framework to ensure the accuracy, consistency, and security of data
Partner cross-functionally with business segment, ecosystem, and function analytics and finance stakeholders with clearly defined data roles and responsibilities
Develop product roadmap with release milestones and collaborate on adoption plan, including monitoring usage
Leverage new analytic techniques (e.g., AI, ML, predictive analytics) and curated data to realize insights and opportunities
Qualifications
10+ years of experience in data and analytics
Passion for driving decision-making and business results through data with proven track record
Proven ability to work cross-functionally, develop analytics solutions to challenges, and drive the implementation of the solution
Excellent communication skills with an ability to translate complex technical concepts into easy-to-understand stories and insights, including record of getting buy-in from senior leaders
Strong work ethic, commitment to sweat the details with extreme ownership and end-to-end thinking
Strong practical ability to read and write SQL required, experience with data and analytics solutions on cloud platforms including AWS, GCP and big data technologies preferred
Experience with BI tools (e.g., Qlik, Tableau, Qlik, Power BI)
Experience managing a team and coaching individuals to do their best
Master's degree in business administration, data science, statistics, or a related field preferred; equivalent experience will be considered
Experience with AI and machine learning with record of practical application of these technologies preferred