Capgemini

hackajob is collaborating with Capgemini to connect them with exceptional tech professionals for this role.

Job Title: Senior Manager Data Management

Location: United Kingdom

Tye: Hybrid work

Job Description:

• Innovation: Demonstrated ability to drive innovation in data management, leveraging cutting-edge technologies and methodologies to develop customer-centric data management solutions and drive value creation for clients.
• Value-Creation: Demonstrated ability to create tangible value for organisations through effective data management and utilisation of data assets. This includes optimising data processes to improve efficiency, identifying cost-saving opportunities through data-driven insights, and driving growth by leveraging data for strategic decision-making and innovation.
• Visionary Leadership: Proven leadership in data management which inspires and motivates teams to embrace change and pursue ambitious goals, evidenced by successful initiatives in industry or professional services.
• Strategic Leadership: Demonstrated ability to provide strategic guidance, acting as a Data Management and Governance SME, collaborating with senior leaders to align data initiatives with organisational goals and Chief Data Officer (CDO) objectives.
• Adaptive Leadership: Agility and resilience in navigating complex challenges and driving change in dynamic environments whilst inspiring confidence and maintaining focus.
• Mentorship: Dedication to the growth and development of your team members, providing mentorship, guidance, empowerment, and support to help them reach their full potential.
• Technical Expertise: Extensive proficiency in data strategy, data management, or AI/machine learning methodologies. Deep understanding of data throughout it's lifecycle. Combined with Architectural / feature knowledge of one or more data and AI platforms (e.g. Google Cloud Platform; Amazon Web Services; Microsoft Azure) and Knowledge of data management and governance standards, such as DAMA-DMBoK, CMMI and DCAM.
• Domain Expertise: Extensive knowledge of the data technology landscape, including data management tooling and platform capabilities, such as Informatica and Collibra. Additionally, demonstratable proficiency with industry-standard data management and governance frameworks, such as DAMA-DMBOK, CMMI, and DCAM, is highly desirable.
• Professional Certifications: Industry-recognized certifications and designations, such as Certified Data Management Professional (CDMP), Project Management Professional (PMP), The Open Group Architecture Framework (TOGAF), Information Technology Infrastructure Library (ITIL), and Cloud certifications (e.g., Azure, AWS).
• Stakeholder Management: Strong stakeholder engagement skills, cultivated through collaborations with diverse stakeholders including industry partners, and internal capability teams. Ability to navigate complex relationships to drive consensus and achieve strategic goals.
• Communication Skills: Effective communication skills to represent the company in discussions on data strategy. Proficiency in supporting upskilling initiatives to enhance both internal staff and client understanding of data concepts.
• Continuous Learning: Commitment to continuous learning, staying abreast of the latest advancements in data strategy, data management and operating models. Actively contribute to fostering a culture of ongoing education and innovation within the organisation.
• Delivery: A track record of delivering within agile working environments, including planning, and implementing solutions with data, analytics or AI at the core
• Business Development: Business development experience, including identifying new client opportunities, nurturing existing client relationships, and supporting sales efforts. Your strategic and industry expertise will be instrumental in driving revenue growth and expanding our client base.