Senior BI Innov Analytics Manager
Listed on 2026-10-15
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IT/Tech
Data Science Manager, Data Analyst, AI Business & Operations, Change Management -
Management
Data Science Manager, AI Business & Operations, Change Management
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.
- 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.
- 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.
- 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.
- 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.
- Identify opportunities where…
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