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Senior Solutions Principal - Data & AI

Job in Mesa, Maricopa County, Arizona, 85201, USA
Listing for: Insight Technology
Full Time position
Listed on 2026-05-31
Job specializations:
  • IT/Tech
    Data Analyst, AI Engineer, Data Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Requisition Number: 104529

Now is the time to expand your knowledge and drive business solutions with Insight. We are not just a tech company; we are a people-first company. We believe that by unlocking the power of people and technology, we can accelerate transformation and achieve extraordinary results. As a Fortune 500 Solutions Integrator with deep expertise in Digital Enablement, Cloud, Data, AI, Innovative Apps, Cybersecurity, and Intelligent Edge, we guide organizations through their complex digital journey.

About

the role

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.

In this role, you will:

Client consulting & discovery

  • 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).

Solution architecture & recommendations

  • 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.

SOW creation & deal structuring

  • 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…
Position Requirements
10+ Years work experience
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