Technology Advisory - Data and AI - Senior ConsultantsSenior Managers

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. 

Wavestone has a significant and growing capability in Data & AI that is in high demand from our clients. Our clients trust us to tailor advisory engagements to aid with some of their most complex datarelated challenges and as a result we are growing our Data & AI service line to be able to respond to the increasing breadth and complexity of datadriven transformation initiatives

Whilst we work across different sectors we are particularly interested in speaking to people with a background in one or more of the following sectors: Banking Insurance Wealth & Asset Management Life Sciences Public Sector Energy & Utilities. 

We are looking for talented and experienced Data & AI management consultants across various levels of seniority that are confident and capable of being a key trusted advisor to clients from the outset.

Join our team to help grow this offering and be part of impactful engagements encompassing (but not limited to): 

• D&AI Strategy & Operating Model Design: Analysing client needs and developing comprehensive data strategies aligned with business objectives including governance and sourcing strategies as well as organisational structures that enable data democratisation. 

• D&AI Use Case Development & Value Realisation: Endtoend advisory from identifying highpotential AI/ML opportunities to developing business cases prioritising implementation roadmaps and establishing ROI measurement frameworks to track and demonstrate value. 

• D&AI Architecture & Platform Advisory: Combining architectural assessments with platform selection guidance providing vendorindependent recommendations for optimal data ecosystem design. 

• Data Migration Integration & Pipeline Support: Providing strategic guidance on data migration and integration approaches logical pipeline design and data flow orchestration based on bestpractice architectural patterns that enable seamless data movement across the organisation. 

• Insight Delivery & Visualisation Design: Comprehensive advisory on transforming data into actionable insights through effective dashboard design visualisation best practices and selfservice analytics capabilities that drive datainformed decision making. 

• D&AI Products & Service Design: Advisory on designing developing and commercialising data products and AIenabled services including monetisation strategies product roadmaps and gotomarket approaches that create new revenue streams. 

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 daytoday 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 presales 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 datarelated 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 goto for more junior members of the team by sharing knowledge mentoring and leading by example. Possibly provide line management and career development directly as part of our career development manager framework. 

• Maintain Expertise: Stay current with the market most especially in different data technologies platforms and solutions that are relevant to client challenges or needs. 

Qualifications :

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

• Significant consulting experience clientfacing 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 and defining optimal organisational structures for the Data & AI functions either within a wider technology function or a business unit. 

• Experience of helping organisations identify and prioritise highvalue use cases for advanced analytics machine learning and AI/GenAI. 

• Strong understanding of data ecosystem components including data lakes data warehouses data mesh architectures and associated architectural patterns. 

• Strong understanding of methodologies and principles of data science and MLOps including model development validation and lifecycle management. 

• Experience in data pipeline design ETL/ELT processes and data integration approaches and appreciation of tradeoffs associated with specific usecases and architectural choices. 

• Knowledge of data visualisation good practices and experience in designing effective dashboards and reporting solutions for effective decision making. 

• Familiarity with data product development methodologies and data monetisation strategies. 

• Experience with one or more cloud data platforms such as Snowflake Databricks or cloudnative data services in Azure AWS GCP. 

• Demonstrable experience in leading or delivering large data migrations and/or transformation programmes. 

Key Consulting Competencies: 

• Exceptional interpersonal skills spanning organisational levels including ability to present to executive level stakeholders. 

• Leadership in team management junior staff development and coaching. 

• Crafting impactful presentations and highquality reports that can frame complex options recommendations and required decisions for a variety of technology and business stakeholders. 

• Ability to bridge technical and business domains translating between data practitioners and business stakeholders. 

• Experience in owning building and maintaining a sales pipeline for D&AI services through prospecting and farming existing account relationships. 

Desirable Qualifications: 

• Sector Experience Significant experience in one or more of the following sectors: Banking Wealth & Asset Management Insurance Healthcare & Lifesciences Energy & Utilities Public Sector 

• Data Platforms Certifications in Snowflake Databricks Microsoft Fabric or other industrystandard data platforms 

• Cloud Data Services Certifications such as AWS Data Analytics Specialty Azure Data Engineer Google Professional Data Engineer 

Additional Information :

Our commitment:Wavestone values and Positive Way 

• Elevateclient satisfactionby impacting highgrowth business across US UK and Europe. Shape culture enhance value propositions and foster business development. 

• Nurtureemployee growthwith Wavestone horizon career path competitive compensation transparent salary policy tailored training and internal mobility. 

• Embrace acollective mindsetwithin a barrierfree collaborative team. Engage in vibrant people culture through regular events meetings and committees. 

• Experienceethical responsibilitywith flexible work options strong CSR commitment and a culture promoting worklife balance and timeoff. 

Benefits 

• Competitive salary and bonus scheme. 

• Income protection insurance 5 company pension private health and dental cover life insurance company share scheme. 

• Additional flexible benefits you can select from such as additional holidays additional pension contributions subsidized gym subscriptions to wellbeing apps Netflix retail vouchers.

• 25 days annual leave.  

Travel and Location 

• Employees are not required to work in a Wavestone office on a fulltime basis but are required to commute to the office /client site whenever necessary. Wavestone UK office is in the heart of the city of London. 

• Note: Mandatory 23 days per week in Wavestone office / client site during probation. 

Diversity and Inclusion 

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 AntiRacism networks. 

If you need flexibility assistance or an adjustment to our recruitment process due to a disability or impairment please reach out to us to discuss this. 

Remote Work :

No

Employment Type :

Fulltime