Technology Advisory - Data and AI - Senior Consultants/Senior Managers

Wavestone is a leading global transformation consulting firm known for navigating critical challenges and driving sustainable growth. We aim to deliver lasting change that positively impacts customers, communities, and society. Our journey is defined by a true team spirit, where support, encouragement, and motivation are the keystones of our collaborative environment.

Wavestone UK now boasts a team of 300 employees, with ambitions to rapidly grow in the coming years. Our services span business and digital transformation, cybersecurity, operational improvement, risk advisory, and IT advisory. We exist to provide end-to-end expert advice to clients across industries, with a particular focus on Insurance, Financial Services, and Life Sciences helping them to positively transform to become modern, innovative organizations that thrive in a sustainable way.

Becoming part of the UK team in our Data & AI Service Line will present new opportunities for you to make a positive impact as we embark on securing major projects with our top international clients. This will mean working with our FTSE100 clients and beyond on a wide range of advisory projects, bringing deep business and technology expertise to help address Data and AI opportunities and challenges across their organisations.

As a senior member of the Data & AI practice, your key responsibilities will cover client delivery, business development, people development, and key contribution to our thought leadership. Depending on your level of experience you will be expected to:

• Lead & Deliver Engagements: Manage data strategy and architecture engagements with our clients, responsible for the day-to-day running of the engagements, likely acting as a trusted advisor to senior stakeholders.
• Develop New Business: Be a subject matter expert leading and/or supporting sales activity across the full lifecycle from pre-sales support, identification of Data and AI opportunities through to scoping the delivery phase of engagements.
• Thought leadership & Proposition Ownership: Be a key voice in our Data and AI community and externally, developing data-related propositions and approaches to common client challenges, sharing knowledge, and creating thought leadership and marketing materials that support sales efforts.
• People Development: Act as an example and go-to for more junior members of the team, by sharing knowledge, mentoring, and leading by example.
• Maintain Expertise: Stay current with the market, most especially in different data technologies, platforms, and solutions that are relevant to client challenges or needs.

To be considered for this role we would like coverage across a significant majority of the below:

• Significant consulting experience, client-facing, or equivalent tenure in relevant industries with a focus on data and AI initiatives.
• Demonstrable experience in data and/or AI strategy and operating model disciplines, having been responsible for developing and delivering strategic data and/or AI/ML initiatives.
• Strong understanding of data ecosystem components including data lakes, data warehouses, data mesh architectures, and associated architectural patterns.
• Experience in data pipeline design, ETL/ELT processes, and data integration approaches.
• Knowledge of data visualisation good practices and experience in designing effective dashboards and reporting solutions for effective decision making.

Our commitment: Wavestone values and Positive Way Elevate client satisfaction by impacting high-growth business across US, UK, and Europe. Shape culture, enhance value propositions, and foster business development. Nurture employee growth with Wavestone horizon career path, competitive compensation, transparent salary policy, tailored training, and internal mobility.

At Wavestone, we celebrate diversity and inclusion. We have a strong global CSR agenda and an active Diversity & Inclusion committee with Gender Equality, LGBTQ+, Disability Inclusion, Social Mobility and Anti-Racism networks.