Senior BI Innov. & Analytics Manager
Dyson Institute
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Job summary
Dyson Institute seeks a Senior Manager to define and execute the enterprise BI and Analytics strategy, enabling data-driven decision making across the organisation. You will lead analytics, reporting, KPI governance, and self-service capabilities while partnering with executives to unlock growth, efficiency and customer outcomes.
You will steer a high-performing global team, champion data governance, and drive AI-enabled insights across functions, balancing strategic vision with operational
Qualifications
- Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business Analytics, Statistics or Mathematics.
- 10+ years of experience in BI, Analytics, Data Management, or related fields.
- Proven experience leading enterprise-scale analytics and reporting functions.
- Significant experience leading and developing multi-disciplinary analytics teams.
- Experience influencing executive stakeholders and supporting strategic business decisions.
- Demonstrated success leading organisational change and data-driven adoption of AI capabilities.
Responsibilities
- Define and execute BI & Analytics vision, strategy, and operating model.
- Develop and maintain a multi-year analytics roadmap and AI-enabled insights.
- Lead enterprise reporting, dashboards, KPIs, and self-service analytics.
- Partner with executives to drive data-driven decision making and business growth.
- Build and develop a high-performing global BI/Analytics team and governance.
Skills
Education
Job description
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.
- 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 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.
- 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.
- 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.
- 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.
- Demonstrates credibility and confidence when engaging with executive leadership.
- Communicates with clarity, influence, and impact.
- Able to challenge constructively and navigate complex stakeholder environments.
- 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.
- 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.
- Demonstrates curiosity and embraces emerging technologies.
- Champions adoption of AI and automation to improve productivity and decision making.
- Encourages experimentation while maintaining appropriate governance and controls.
- Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business Analytics, Statistics, Mathematics, or a related discipline.
- 10+ years of experience in Business Intelligence, Analytics, Data Management, or related fields.
- Proven experience leading enterprise‑scale analytics and reporting functions.
- Significant experience leading and developing multi-disciplinary analytics teams.
- Experience influencing executive stakeholders and supporting strategic business decisions.
- Demonstrated success leading organisational change, transformation, and adoption of data‑driven ways of working.
- Experience leveraging AI, Machine Learning, or Generative AI capabilities to enhance business performance is highly desirable.
Dyson is an equal opportunity employer. We know that great minds don’t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity. At Dyson we are focused on solving the problems that others have ignored; solving them first using our technology and ingenuity. In order to achieve this we need to pioneer technologies that are different and authentic. This is the core of what we do and who we are. We must strive to create the future, every single day by developing new things, different things, things that go against the grain with a diverse and global team of ingenious minds. Dyson employs 14,000 people and is present in more than 80 countries. And while we are growing fast we want Dyson to remain a start-up in spirit with the freedom of experimentation and learning, constantly reinventing our products as well as reinventing how we work, how we sell and how we support our owners. At the same time we are working through the James Dyson Foundation, James Dyson Award and Dyson Institute to inspire future engineers and pioneering a new approach to engineering education. Underlining everything we do in this diverse environment is the need to always show respect, supporting each other as one team to overcome whatever challenges we encounter. We drive empowerment, development and equality in an inclusive environment for our people around the world.
The future doesn’t just happen, we look to make it happen, to achieve leaps through pioneering new ideas.
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