Data & AI Senior Consultant

Data & AI Senior Consultant

Application Deadline: 31 May 2026

Department: Data and AI

Employment Type: Full Time

Location: Jersey / Guernsey / Isle of Man

Description

As a Senior Data & AI Consultant, you will be an integral member of our Data & AI practice, responsible for the high-quality delivery of modern data platforms and AI solutions. You will lead client engagements end-to-end: shaping requirements, designing architectures, guiding build teams, and ensuring solutions are secure, well-governed, and ready for production. You will combine strong engineering fundamentals (data modelling, integration, analytics) with practical Generative AI delivery (for example, retrieval augmented generation), and you will communicate clearly with both technical and non technical stakeholders.

Key Responsibilities

• Lead discovery and solution shaping: run workshops, define requirements, propose options, and recommend architectures and delivery approaches.
• Plan and manage delivery activities across one or more workstreams (scope, RAID, estimates, dependencies), escalating early where needed.
• Support pre sales where required (contributing to proposals/SOWs, technical due diligence, and solution presentations).
• Build and maintain strong client relationships, ensuring delivery quality and identifying pragmatic follow on improvements.
• Design and deliver modern data platform solutions using Microsoft Fabric as the default platform and AI solutions on Azure, including security, governance, and operational readiness.
• Produce high quality deliverables: architecture diagrams, HLD/LLD, build/run documentation, and clear progress reporting.
• Mentor other team members and contribute to practice assets (templates, accelerators, standards, reusable code).
• Undertake other ad hoc duties and projects as required.

Skills Knowledge & Expertise Technical Skills

• Demonstrable technical knowledge of Microsoft Fabric as the primary data platform (OneLake, Lakehouse/Warehouse, Notebooks, Data Pipelines, Dataflows Gen2, Semantic Models/Power BI), including security/governance and Git based delivery. Familiarity with Azure data services (for example ADLS/Azure SQL) and legacy Synapse/ADF patterns for migration is a plus.
• High level of competence coding in SQL and Python (and DAX where required), with an engineering mindset around testing, readability, and performance.
• Strong analytics capability across the Microsoft BI stack (Power BI, semantic modelling, governance and performance), with experience modernising from legacy MSBI where applicable.
• Demonstrable understanding of enterprise data concepts: dimensional modelling, lakehouse/warehouse patterns, metadata/lineage, data quality, and governance.
• Working knowledge of non Microsoft tools/platforms (for example Databricks, Snowflake, Tableau, Qlik, SAP BusinessObjects) to help clients make informed choices and integrate where needed.
• Demonstrable skills delivering Generative AI solutions on Azure (for example Azure OpenAI/Azure AI services) including retrieval augmented generation, Azure AI Search, evaluation/quality measurement, and responsible AI considerations.
• Strong consulting skills: discovery, requirements, backlog shaping, and producing clear deliverables (designs, estimates, plans, and documentation).
• Knowledge of designing and implementing ELT/ETL processes and integrating disparate line of business systems and databases (batch and, where required, streaming).
• Proven track record operating at a senior technical level (leading designs, making trade offs, and unblocking delivery teams).
• Able to establish credibility with clients through clear communication, strong delivery, and pragmatic recommendations.
• Demonstrated delivery expertise: manages scope, delivers to deadlines, and ensures solutions are operable (monitoring, supportability, documentation).
• Strong professional communication skills (written and oral), including the ability to explain complex data/AI topics simply.
• Experience producing high and low level designs (HLD/LLD), including security, governance, and operational considerations.

Technical Skills (Advantageous)

• Strong experience implementing ingestion and orchestration in Microsoft Fabric (Data Pipelines, Dataflows Gen2, Notebooks), including CI/CD and environment promotion. Experience migrating from Azure Data Factory / Synapse pipelines is advantageous.
• Experience with Azure AI Search (hybrid search, indexing), vector/embedding concepts, and GenAI evaluation/guardrails; familiarity with ML frameworks (for example TensorFlow) is a plus.
• Experience with complementary data prep / automation tooling (for example Alteryx or Power Platform).
• Experience with data warehouse automation tools (for example WhereScape RED) and/or metadata/governance tooling (for example Microsoft Purview).

Non Technical Skills

• Proven ability to build trusted relationships with senior stakeholders and act as a credible advisor.
• Comfortable supporting pre sales: discovery, solution options, estimates, risks/assumptions, and contributing to proposals.
• Proven ability to mentor and develop junior team members through coaching, review, and structured learning.
• Proven track record of driving decisions collaboratively, resolving conflicts, and ensuring follow through to deliver outcomes.
• Strong presentation and facilitation skills for mixed audiences (technical deep dives through to exec level summaries).
• Experience working in consulting/professional services, including delivery governance, quality assurance, and client management.
• Problem solving mentality, leveraging internal and external experts appropriately and documenting decisions clearly.
• Exceptional communication skills when explaining complex data/AI solutions (and architectures) in simple terms, including benefits, limitations, and risks.
• High business acumen: understands how data/AI products create value and how to measure impact.
• Highly organised: able to prioritise short, medium and long term tasks across multiple engagement.

Personal Attributes

• Quickly understand customer goals, constraints, and data/AI maturity; translate them into clear requirements and prioritised backlogs.
• Confident client facing consultant: able to lead workshops, challenge assumptions, and build alignment with senior stakeholders.
• Pragmatic problem solver: balances innovation with delivery realities (cost, risk, security, timelines).
• Able to articulate solution value and trade offs (including GenAI quality, cost and risk) to mixed audiences.
• High attention to detail: produces clear design artefacts, repeatable implementation patterns, and reliable documentation.
• Strong analytical mindset: comfortable diagnosing data quality, performance, and reliability issues.
• Collaborative team member who can lead small delivery teams and coach others through review and pairing.
• Self motivated, accountable, and comfortable owning outcomes across multiple workstreams in parallel.

Experience

• Proven success in customer facing roles, leading architecture and design discussions that solve real business problems.
• 5+ years delivering enterprise data and analytics solutions (end to end delivery, not just development).
• 5+ years building cloud and/or on prem data platforms (lakehouse/warehouse), including ingestion, transformation, modelling, and BI/semantic layers. Hands on experience delivering GenAI solutions (for example RAG) is highly desirable.
• Experience supporting pre sales and shaping delivery (discovery, proposals/SOW input, estimates, risks, and solution options), while managing stakeholder expectations.
• Experience delivering transformation projects and transitioning solutions into BAU/support with appropriate runbooks, monitoring, and knowledge transfer.

Education

• Desired - Bachelor's Degree or equivalent in STEM subjects.

Certifications (Desired)

• Microsoft Certified: Azure Developer Associate (or equivalent)
• Microsoft Certified: Fabric Data Engineer Associate (DP-700)
• Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
• Microsoft Certified: Azure AI Engineer Associate (AI-102)
• Microsoft Certified: Azure Database Administrator Associate (or equivalent)
• Project delivery qualifications (for example PRINCE2, Agile/Scrum)

Benefits

Employees enjoy an attractive benefits package as part of our continuous employee value commitment.

• Competitive salary
• Competitive annual leave
• Pension Scheme
• Private Health Insurance, including dental and optical cover
• Proactive learning environment
• Company wide social and team events
• Monthly wellbeing activities
• Access to the latest technologies
• An environment to be yourself