1.
CoE Strategy, Governance & Prioritization
· Define and lead the Analytics & Market Intelligence CoE strategy aligned to enterprise and business unit priorities
· Own intake, prioritization, and portfolio management of analytics, insights, and related initiatives across the organization
· Facilitate recurring governance forums (e.g., portfolio reviews, analytics forums, AI council participation) to align stakeholders and manage demand vs. capacity
· Establish and monitor KPIs, success metrics, and value realization across all CoE initiatives
· Ensure alignment between analytics roadmap, investments, and broader digital / IT strategy
2.
Team Leadership & Organizational Development
· Lead and develop a team of five, consisting of two direct reports (over Market Intelligence and Data Science)
· Provide coaching, performance management, and career development for direct and indirect reports
· Foster a high-performance culture focused on business impact, collaboration, and innovation
· Ensure effective cross-functional collaboration between analytics, insights, IT, and business stakeholders
3.
Advanced Analytics, AI & Data Science Delivery
· Oversee execution of advanced analytics and AI initiatives, ensuring projects are prioritized, resourced, and delivered effectively
· Oversee the team who manages the development and productionization of models (e.g., forecasting, optimization, AI-enabled applications)
· Manage external vendor partnerships and engagements (e.g., AI/analytics vendors, consultants)
· Ensure governance and tracking of initiatives against defined milestones and enterprise KPIs
· Identify opportunities to scale AI and advanced analytics across functions
4.
Market Intelligence & Strategic Insights
· Oversee delivery of competitive intelligence, market monitoring, and forward-looking insights
· Ensure consistent reporting and synthesis of market trends, earnings insights, and industry dynamics
· Provide thought partnership to senior leadership on market outlook, risks, and opportunities
· Support strategic initiatives such as revenue growth management, pricing, digital, and market modeling
5.
Business Partnership & Stakeholder Engagement
· Act as a key strategic partner to senior leadership, business units, and functional teams
· Lead recurring stakeholder engagement through 1:1s, steering committees, and executive updates
· Translate business priorities into analytics and data science opportunities, and vice versa
· Ensure alignment and communication across functions including IT, Product, Sales, Finance, and Operations
6.
Program & Portfolio Execution
· Oversee a diverse portfolio of initiatives including:
o AI and machine learning projects o Digital CoE alignment and data integration partnership with IS
o Strategic planning and analytics support
o Market intelligence and reporting
· Ensure coordination across large, cross-functional programs (e.g., integrations, digital initiatives, enterprise planning)
· Track risks, dependencies, timelines, and outcomes across all major initiatives
7.
Strategic Planning & Enterprise Support
· Support annual and long-range strategic planning processes
· Lead analytics-driven inputs into strategy development (e.g., market sizing, pricing insights, performance analytics)
· Facilitate development of executive materials, including strategy cascades and leadership presentations
8.
Financial & Vendor Management
· Manage CoE budgets, vendor contracts, and investment decisions
· Evaluate and optimize spend across analytics tools, data sources, and external partners
· Ensure ROI and value delivery from all third-party engagements