Senior Manager – Enterprise Data and Analytics – Analytics and Insights
Capgemini Invent
Responsibilities
* Shaping and executing enterprise data transformation: Driving enterprise-level transformation projects, including designing data platforms, establishing robust governance frameworks, and embedding scalable AI and analytics solutions.
* Leading innovation in AI and analytics: Spearheading the development of generative AI solutions, statistical models, and data visualisations that deliver actionable insights across various industries.
* Delivering strategic advisory: Acting as a trusted advisor to C-level stakeholders, providing insights that bridge the gap between technical capabilities and business goals.
* Portfolio and account management: Overseeing diverse project portfolios, managing commercial outcomes, and fostering strong client relationships to ensure sustainable growth.
* Scaling delivery: Leading multidisciplinary teams in agile and lean environments, ensuring timely delivery of impactful, high-quality solutions.
* Fostering capability building: Empowering teams through coaching, training, and mentoring to enhance organisational data and AI competencies.
Additional Responsibilities
* Business Development: Leading or contributing to proposals, bids, and RFP responses, as well as proposition development and hosting client events.
* Internal Initiatives: Supporting practice development, operational excellence, recruitment, team activities, and thought leadership via whitepapers and campaign development.
* Learning & Development: Enhancing skills through certifications, training, and personal career growth aligned with the company’s strategic focus.
Consulting Experience
* Proven success in a consulting or client-facing role, including the ability to design and deliver complex data and AI solutions and explain and own their impact.
* Significant experience managing senior stakeholders and acting as a trusted advisor.
* Demonstrated capability in agile methodologies, governance, and multi-workstream leadership.
* Commercial acumen, including proposal writing, project financials, and business development.
* Ability to simplify the complex and story tell to show outcomes as a product of business and technology transformation with data & AI.
Leadership and Coaching
* A track record of building high-performing teams and mentoring senior professionals.
* A commitment to fostering inclusive, collaborative, and growth-oriented cultures.
Business Relationships
* Demonstrated ability to cultivate and sustain relationships with senior executives across various industries.
* Actively participates in industry networks owning your own relationships and building your profile externally.
* An passion that is contagious for your chosen industries.
Delivery Excellence
* Extensive experience in delivery ownership for analytics and AI programmes delivering with global teams and realizing commercial value.
Technical Mastery (choose relevant)
* Expertise in cloud data platforms (AWS, Azure, GCP) and enterprise data solutions (Microsoft Fabric, Databricks, Snowflake).
* Proficiency in programming languages like Python, R, or SQL and experience with Power Platform applications.
* Strong knowledge of generative AI tools, geospatial analytics, and data modelling.
* Expertise in Power Platform and Apps components (Power Apps, Canvas, Model Driven, Automate, Dataverse, Copilot Studio).
Desired Skills
* Experience in creating reusable assets to drive value with clients and creating ‘go to market’ strategies to successfully implement with clients.
* Experience with Agentic and Generative AI solutions in the Business Intelligence landscape.
* Agile SAFE or similar.
* Experience in data ingestion, integration, governance, and solution design.
* Familiarity with data quality frameworks, observability tools, and automation.
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