Senior Manager – Data Strategy & Transformation.

A seniorIndustry leaderl is sought to help organisations define and execute data strategies that support business transformation, innovation and improved decision-making.

The role combines strategic advisory, data architecture and transformation delivery. Working closely with senior business and technology leaders, the successful candidate will translate business priorities into practical data capabilities, develop long-term roadmaps and guide teams through complex transformation initiatives.

Key Responsibilities

• Partner with senior stakeholders to define data strategies, target capabilities and transformation priorities aligned with business objectives.
• Lead data strategy and transformation engagements, translating strategic requirements into actionable delivery plans.
• Develop and maintain data roadmaps, architectural principles, standards and reference models.
• Advise clients on modern data capabilities, including cloud platforms, advanced analytics, AI, machine learning and data sharing.
• Assess existing data environments and identify opportunities to improve integration, governance, accessibility and business value.
• Provide technical leadership and ensure proposed solutions align with architectural standards and best practices.
• Lead client proposals and contribute to business development and account growth.
• Manage engagement delivery, financial performance and stakeholder relationships.
• Lead, coach and develop technical consultants, fostering collaboration and continuous improvement.
• Communicate complex technical concepts and architectural decisions clearly to business, technology and executive audiences.

Experience and Qualifications

• Significant experience in technology consulting, data strategy, solution design or enterprise transformation.
• A proven track record of delivering complex data initiatives within a consulting or professional services environment.
• At least eight years of experience in solution design and technical delivery, including hands-on involvement in data transformation programmes.
• Experience designing and implementing data transformation initiatives, with demonstrable responsibility for delivery or team leadership.
• Strong understanding of data architecture, integration, infrastructure and enterprise technology environments.
• Knowledge of emerging data and analytics capabilities, including cloud technologies, AI, machine learning and data democratisation.
• Experience leading multidisciplinary teams, mentoring colleagues and managing delivery across distributed working environments.
• Strong stakeholder engagement, commercial awareness and client relationship management skills.
• A degree in computer science, information systems or a related discipline, or equivalent professional experience. Familiarity with recognised enterprise architecture frameworks is desirable.