Solution Sales Specialist, Data & AI

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CDW's Solution Sales organisation is in place to collaborate with sales and to be responsible for delivering high value outcomes and experiences to our existing and prospective customers across a variety of Solution Areas

The Solution Sales organisation is made up predominantly of Sales Specialists, Business Development Managers and various levels of Solution Architects (presales technical resource)

The role of the Solution Sales Specialist – Data & AI is focussed on the following core areas:

Result driven sales overlay resource focussed on delivering successful financial metrics for the business across the Data & AI portfolio

Create and execute on a business plan that delivers against targets and KPI's for data modernisation, data governance and AI adoption

Being the sales specialist in the Data & AI domain – data platform, data engineering, data governance and quality, analytics, and applied AI Identify and execute on data-led transformation outcomes with CDW's strategic UK customers, spanning private sector, public sector and regulated industries

The primary purpose of this role is to add significant value to our customers by improving and preparing their data estate – its quality, structure, governance and accessibility – so that they can enrich and unlock the full value of AI

The role holder leads the sales engagement from start to finish, working proactively with aligned account owners, and is expected to lead the conversation on why AI outcomes depend on data readiness

The role is to promote and sell the complete CDW portfolio of Data & AI solutions and supporting professional & managed services to our customers, to achieve personal targets that contribute to the overall team target and CDW strategy

The available portfolio today is extensive but summarised to:
Data readiness and AI-preparation assessments – data discovery, classification, quality profiling, lineage and 'AI-readiness' health checks that establish the baseline for AI adoption. Modern data platform – Microsoft Fabric, Azure Synapse/Databricks, data lakehouse and warehouse design, migration and modernisation from legacy platforms. Data engineering and integration – ingestion pipelines, ETL/ELT modernisation, master data management, unstructured content preparation (SharePoint, file shares, Teams) for retrieval-augmented AI.

Data governance, quality and security – Microsoft Purview, cataloguing, sensitivity labelling, information lifecycle, oversharing remediation and access hygiene ahead of Copilot deployment. Analytics and insight – Power BI, semantic models, self-service analytics enablement and reporting rationalisation. Applied AI – Microsoft 365 Copilot, Copilot Studio and agents, Azure AI/OpenAI services, machine learning and use-case discovery, pilot and scale programmes. AI governance and responsible AI – policy, guardrails, risk, and alignment to UK regulatory expectations (UK GDPR, the EU AI Act where in scope, and sector regulators such as the FCA and NHS/DSPT requirements).

Supporting professional and managed services – advisory, delivery, adoption and change management, and ongoing managed data and AI operations

Opportunities are very often multi-stream and the role holder should be able to sell across multiple technologies, joining Data & AI to Hybrid Platforms,…