Insights and Forecasting Director

About The Role

The Insights and Forecasting Director provides strategic leadership across insights, analytics, forecasting, and AI-enabled decision support to help the business understand performance, find opportunities, and plan for future scenarios. The role integrates information from multiple sources and uses modern digital capabilities to generate clear, actionable recommendations that support both near-term execution and longer-term strategic choices.

The role requires excellent communication, collaborator management, and influencing skills, as well as strong digital fluency and sound judgment in the use of AI. The successful candidate will translate complex data into clear business implications, guide teams in adopting new tools and ways of working, and balance pace, innovation, and experimentation with appropriate governance, risk awareness, and business value.

Key Responsibilities

• Lead the design and delivery of insight generation, analytics, forecasting, and AI-enabled decision support that support strategic and operational decision-making
• Translate business questions into research, analysis, forecasting, and experimentation plans using relevant qualitative, quantitative, and digital approaches
• Synthesize data from primary, secondary, internal, and external sources to generate actionable insights and identify trends, risks, and opportunities
• Develop and maintain performance metrics, dashboards, and targets aligned to key business priorities and strategic goals
• Build and refine forecasting models that incorporate key assumptions, scenarios, sensitivity analyses, and leading indicators to support planning and investment decisions
• Drive adoption of digital and AI-enabled tools, methods, and workflows to enhance insight generation, forecasting speed, productivity, and decision support
• Evaluate, test, and scale emerging tools and techniques that strengthen predictive accuracy, scenario planning, automation, and business readiness
• Ensure analytical approaches, data usage, model assumptions, and outputs are objective, robust, clearly documented, and aligned with responsible AI and data governance expectations
• Present findings, forecasts, and recommendations in a clear and compelling way for senior customers
• Partner with cross-functional teams to align on priorities, assumptions, decision rights, and actions
• Support case development, planning for the future, and prioritization through forward-looking analysis and scenario-based thinking
• Find opportunities to improve data quality, tooling, processes, operating rhythms, and analytical capabilities
• Coach teams and customers on effective use of insights, digital tools, and AI-enabled outputs
• Manage external vendors or project partners where needed
• Promote a culture of continuous improvement, evidence-based decision-making, responsible innovation, and ongoing learning

Required Experience

• Bachelor's degree
• Minimum 7+ years of relevant experience
• Significant experience in insights, analytics, forecasting, market research, business analysis, or a related strategic decision-support function
• Experience applying qualitative and quantitative methods to answer business questions
• Strong experience building, interpreting, and communicating forecasts, scenarios, performance analyses, and decision-support outputs
• Demonstrated experience evaluating, adopting, or scaling digital and AI-enabled tools, methods, or data sources
• Good understanding of data governance, model risk, and responsible AI principles
• Ability to synthesize complex information from multiple data sources into clear, actionable recommendations
• Strong attention to business, critical thinking, systems thinking, and problem-solving capability
• Experience influencing customers and working effectively across functions and levels of seniority
• Ability to manage multiple priorities, projects, and deadlines in a fast-paced environment
• Strong written, verbal, and presentation skills
• Comfortable working in a matrixed organization, navigating ambiguity, and leading through change
• Experience evaluating new tools, methods, or data sources to improve analytical output and team effectiveness is preferred
• Occasional travel may be required

Additional Success Factors

• Excellent communication, influencing, and interpersonal skills
• Strategic approach connecting detailed analysis, digital opportunities, and emerging technologies to broader business priorities
• Strong project and customer management skills across multiple concurrent initiatives
• Credibility in translating complex data, analytical outputs, and AI-enabled insights into practical recommendations
• Collaborative leadership style with the ability to work across functions, teams, and external partners
• Curiosity and learning agility
• Commitment to continuous improvement, capability building, high-quality execution, and responsible use of data and AI