Senior Solutions Principal - Data & AI

Sr. Solution Principal – Data & AI

Requisition Number: 104529

As a Sr. Solution Principal – Data & AI, you will be a key presales leader responsible for shaping and selling Data & AI professional services. You will consult with clients, assess their current data and analytics landscape, recommend pragmatic improvement roadmaps, and translate these into clearly scoped professional services Statements of Work (SOWs).

You will need a balance of:

• Strategic presales acumen
• Deep data platform & analytics architecture expertise
• Business consulting skills
• Strong SOW and deal‑structuring experience

You will partner closely with account teams, solution architects, and delivery leaders to design data‑driven solutions that achieve measurable client outcomes.

• Align into top accounts to build relationships with senior IT and business stakeholders (CIO, CDO, Head of Analytics, Line‑of‑Business leaders).
• Lead data & AI discovery workshops to understand current‑state data platforms, analytics capabilities, governance maturity, and AI readiness.
• Perform high‑level assessments of client data estates (e.g., data sources, ingestion patterns, data models, BI tools, data science capabilities) and identify key pain points and opportunities.
• Translate business objectives into data and analytics use cases and prioritized roadmaps (e.g., modern data platform, self‑service BI, data governance, ML/GenAI pilot programs).

• Define future‑state data & AI architectures leveraging cloud data platforms (e.g., Snowflake, Azure Synapse/Fabric, AWS Redshift/Lakehouse, Databricks) and modern analytics/AI tools.
• Recommend patterns for data ingestion, storage, modeling, governance, and consumption that fit the client’s technology strategy (e.g., lakehouse architectures, semantic models, MDS/MDM, real‑time pipelines).
• Craft clear, outcome‑focused solution narratives that connect architecture choices to business value (e.g., faster time‑to‑insight, reduced manual reporting, trusted metrics, AI‑enabled decisioning).
• Collaborate with technical SMEs (data engineers, data scientists, cloud architects) to validate solution feasibility, sizing, and delivery approach.

• Lead the creation of professional services proposals and SOWs for Data & AI projects (assessments, platform implementations, migrations, governance, BI modernization, AI/ML engagements).
• Define scope, deliverables, assumptions, and client responsibilities with enough detail to enable predictable delivery.
• Design deal structures that meet internal margin targets, align with preferred delivery models (e.g., fixed‑fee, T&M, multi‑phase roadmaps), and match client expectations and risk tolerance.
• Work with resource management and delivery leaders to develop realistic staffing and ramp plans based on skills, availability, and project timelines.
• Ensure SOWs adhere to Insight’s standards, legal/commercial guidelines, and risk controls.

• Engage with sellers to refine understanding of client needs during the qualification process and shape win strategies for Data & AI opportunities.
• Support account teams in early‑stage opportunity shaping, including ideation of Data & AI engagements (assessments, PoCs, pilots, multi‑phase programs).
• Represent client needs across all Insight capabilities, with a focus on expanding Data & AI deal size and attaching services to data platform/software investments.
• Support sellers in executive presentations, proposal walkthroughs, and orals, clearly articulating our Data & AI value proposition and differentiation.
• Participate in internal deal reviews with Insight leadership, presenting solution approach, delivery risks, and financials.

• Develop strong working relationships with strategic Data & AI partners (e.g., Microsoft, AWS, Snowflake, Databricks, key ISVs) and incorporate their capabilities into client solutions.
• Assist sellers in leveraging partner incentives and funding (POCs, pilots, workshops, assessments) to accelerate Data & AI opportunities.
• Provide feedback into Insight’s…