Data Strategy Consultant at PAConsulting

As a Data Strategy Consultant at PA Consulting, you will partner with clients to define and deliver business-led data strategies that unlock value from organisations latent data stores and sources and enable advanced analytics and artificial intelligence use cases. You will be responsible for working with senior stakeholders to create a data vision, prioritising initiatives, and architecting roadmaps for programmes of change. Success in this role requires a deep understand of data and analytics ecosystems and approaches, strong business acumen, and the ability to translate disparate business needs and priorities into a scalable and actionable data strategy.  Key responsibilities  • Operate at a strategic level to define client data vision, operating models, and roadmaps.  • Advise clients on best practices for data platform modernization, governance, and AI readiness.  • Lead cross-functional teams to drive data initiatives from strategy through to delivery.  • Synthesise business and technical requirements to produce high-impact data strategies and frameworks.  • Guide clients in building business cases for data investment and measuring ROI for data initiatives.  • Identify and win new opportunities, contribute to bids, and business development initiatives.  • Champion thought leadership and team capability development.  Our technology stack  We believe in using the right tools and technologies for the right task and maintain our impartiality for our clients with relationships across many cloud and software providers, you can expect to work across:  • Modern data platforms and cloud ecosystems including AWS, Azure, and GCP.  • Proprietary and external data quality, governance, and master data management frameworks.  • The latest business intelligence, analytics, machine learning, and artificial intelligence tooling.  • Data-enabled operating models and organisational change techniques.  What you can expect   • Hybrid working model, with in-person client or office presence typically two to three days per week.   • Agile ways of working and close collaboration with cross-functional teams and stakeholders.  • A values-driven environment supported by a diverse community of digital and data professionals.