Senior BI Innov. & Analytics Manager

Role Overview As the Senior Manager, Business Intelligence & Analytics, you will be a key member of the Global Data, Advanced Analytics & AI Leadership Team, responsible for defining and executing the enterprise Business Intelligence and Analytics strategy that enables data-driven decision making across the organisation. You will provide strategic leadership across analytics, reporting, insight generation, KPI governance, and self-service analytics capabilities while partnering closely with executive stakeholders to identify opportunities where data, analytics, and AI can accelerate business growth, operational efficiency, and customer outcomes. As a senior leader, you will help shape the future direction of the Data, Advanced Analytics & AI function, contribute to organisational strategy, build high-performing teams, and champion a culture of innovation, accountability, collaboration, and continuous learning. This role requires a leader who can balance strategic vision with operational excellence, influence senior stakeholders globally, and inspire teams to deliver measurable business outcomes through data and AI. Key Responsibilities Functional Leadership • Define and execute the Business Intelligence & Analytics vision, strategy, and operating model. • Contribute to the overall direction, priorities, and success of the function. • Develop and maintain a multi-year roadmap that advances analytics maturity, self-service capabilities, and AI-enabled insights across the organisation. • Ensure investments in analytics deliver measurable business value and align with strategic priorities. Enterprise Influence & Executive Partnership • Act as a trusted advisor to senior executives and business leaders on business performance, analytics strategy, and data-driven decision making. • Influence decision making at all levels through compelling insight storytelling and evidence-based recommendations. • Build strong partnerships across Commercial, Product, Technology, Operations, Finance, Supply Chain, and Customer functions. • Represent the Data, Advanced Analytics & AI function in leadership forums, steering committees, and executive discussions. Leadership of People and Culture • Build, lead, and develop a high-performing global team of Business Intelligence and Analytics professionals. • Create an environment that encourages innovation, ownership, healthy challenge, continuous learning, and collaboration. • Foster an inclusive and psychologically safe culture where diverse perspectives are valued and individuals can perform at their best. • Develop future leaders through coaching, mentoring, succession planning, and career development. • Drive high standards of accountability, execution excellence, and customer-centric thinking across the team. Transformation & Change Leadership • Lead organisational change initiatives that increase adoption of data-driven decision making and AI-enabled ways of working. • Challenge existing processes and ways of working to drive simplification, automation, and operational excellence. • Build organisational confidence in data and AI through transparency, governance, and measurable business outcomes. • Champion innovation and encourage experimentation with emerging technologies and AI capabilities. Business Intelligence & Analytics • Lead enterprise reporting, dashboarding, scorecards, and self-service analytics capabilities. • Establish and govern enterprise KPI definitions, performance measurement frameworks, and reporting standards. • Ensure delivery of trusted, timely, and actionable insights that support strategic and operational decision making. • Drive analytics initiatives that identify growth opportunities, operational improvements, and risk mitigation strategies. AI-Enabled Analytics • Identify opportunities where Artificial Intelligence, Machine Learning, and Generative AI can enhance business insight generation and decision making. • Collaborate with Data Product Management, Data Science, Data Engineering, and AI Engineering teams to deliver AI-powered analytics solutions. • Ensure responsible and ethical adoption of AI capabilities while maintaining trust and transparency. Data Governance & Quality • Promote trusted, governed, and high-quality data as the foundation of analytics and AI. • Partner with Data Governance, Architecture, and Engineering teams to improve data quality, accessibility, consistency, and lineage. • Establish standards and controls to ensure integrity of business reporting and analytics outputs. Stakeholder Management • Partner with business leaders to understand strategic challenges and identify opportunities for analytics-driven value creation. • Prioritise analytics investments and initiatives based on business impact and strategic alignment. • Communicate complex analytical findings in a clear and compelling manner to technical and non-technical audiences. Key Competencies Strategic Leadership • Ability to define a compelling vision and translate strategy into measurable outcomes. • Thinks beyond immediate priorities and anticipates future business, technology, and AI trends. • Balances short-term delivery needs with long-term capability building. Executive Presence • Demonstrates credibility and confidence when engaging with executive leadership. • Communicates with clarity, influence, and impact. • Able to challenge constructively and navigate complex stakeholder environments. People Leadership • Proven ability to inspire, motivate, and develop high-performing teams. • Creates a culture of trust, accountability, and continuous improvement. • Successfully leads through ambiguity, change, and transformation. Commercial & Business Acumen • Strong understanding of how analytics drives business value and competitive advantage. • Connects analytics investments to measurable commercial and operational outcomes. • Makes prioritisation decisions based on value, risk, and strategic importance. Innovation & AI Mindset • Demonstrates…