Senior Solutions Principal - Data & AI

<div><p><span style="color:#000000"><b>Requisition Number: 104529 </b></span></p><h1 style="margin: 0in 0in 4pt; line-height: 250%; break-after: avoid; color: rgb(15, 71, 97); font-weight: normal;"><span style="line-height: 250%; color: rgb(26, 26, 26);">Sr. Solution Principal – Data & AI </span></h1><p style="margin: 0in 0in 12pt; line-height: 125%;"><span style="color: #1a1a1a;">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.</span></p><h2 style="margin: 0in 0in 9pt; line-height: 225%; break-after: avoid; color: rgb(15, 71, 97); font-weight: normal;"><span style="line-height: 225%; color: rgb(26, 26, 26);">About the role</span></h2><p style="margin: 0in 0in 12pt; line-height: 125%;"><span style="color: #1a1a1a;">As a <strong>Sr. Solution Principal – Data & AI</strong>, 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).</span></p><p style="margin: 0in 0in 12pt; line-height: 125%;"><span style="color: #1a1a1a;">You will need a balance of:</span></p><ul style="margin-bottom: 0in; margin-top: 0px;"><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Strategic presales acumen</span></li><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Deep data platform & analytics architecture expertise</span></li><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Business consulting skills</span></li><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Strong SOW and deal-structuring experience</span></li></ul><p style="margin: 0in 0in 12pt; line-height: 125%;"> </p><p style="margin: 0in 0in 12pt; line-height: 125%;"><span style="color: #1a1a1a;">You will partner closely with account teams, solution architects, and delivery leaders to design data-driven solutions that achieve measurable client outcomes.</span></p><h3 style="margin: 0in 0in 9pt; line-height: 200%; break-after: avoid; color: rgb(15, 71, 97); font-weight: normal;"><span style="line-height: 200%; color: rgb(26, 26, 26);">In this role, you will:</span></h3><p style="margin: 0in 0in 12pt; line-height: 125%;"><strong><span style="color: #1a1a1a;">Client consulting & discovery</span></strong></p><ul style="margin-bottom: 0in; margin-top: 0px;"><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Align into top accounts to build relationships with senior IT and business stakeholders (CIO, CDO, Head of Analytics, Line-of-Business leaders).</span></li><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Lead <strong>data & AI discovery workshops</strong> to understand current-state data platforms, analytics capabilities, governance maturity, and AI readiness.</span></li><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">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.</span></li><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Translate business objectives into <strong>data and analytics use cases</strong> and prioritized roadmaps (e.g., modern data platform, self-service BI, data governance, ML/GenAI pilot programs).</span></li></ul><p style="margin: 0in 0in 12pt; line-height: 125%;"> </p><p style="margin: 0in 0in 12pt; line-height: 125%;"><strong><span style="color: #1a1a1a;">Solution architecture & recommendations</span></strong></p><ul style="margin-bottom: 0in; margin-top: 0px;"><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Define <strong>future-state data & AI architectures</strong> leveraging cloud data platforms (e.g., Snowflake, Azure Synapse/Fabric, AWS Redshift/Lakehouse, Databricks) and modern analytics/AI tools.</span></li><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">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).</span></li><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">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).</span></li><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Collaborate with technical SMEs (data engineers, data scientists, cloud architects) to validate solution feasibility, sizing, and delivery approach.</span></li></ul><p style="margin: 0in 0in 12pt; line-height: 125%;"> </p><p style="margin: 0in 0in 12pt; line-height: 125%;"><strong><span style="color: #1a1a1a;">SOW creation & deal structuring</span></strong></p><ul style="margin-bottom: 0in; margin-top: 0px;"><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Lead the creation of <strong>professional services proposals and SOWs</strong> for Data & AI projects (assessments, platform implementations, migrations, governance, BI modernization, AI/ML engagements).</span></li><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Define scope, deliverables, assumptions, and client responsibilities with enough detail to enable predictable delivery.</span></li><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">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.</span></li><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Work with resource management and delivery leaders to develop realistic staffing and ramp plans based on skills, availability, and project timelines.</span></li><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Ensure SOWs adhere to Insight’s standards, legal/commercial guidelines, and risk controls.</span></li></ul><p style="margin: 0in 0in 12pt; line-height: 125%;"> </p><p style="margin: 0in 0in 12pt; line-height: 125%;"><strong><span style="color: #1a1a1a;">Sales collaboration & pipeline support</span></strong></p><ul style="margin-bottom: 0in; margin-top: 0px;"><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Engage with sellers to refine understanding of client needs during the qualification process and shape win strategies for Data & AI opportunities.</span></li><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Support account teams in early-stage opportunity shaping, including ideation of <strong>Data & AI engagements</strong> (assessments, PoCs, pilots, multi-phase programs).</span></li><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Represent client needs across all Insight capabilities, with a focus on expanding Data & AI deal size and attaching services to data platform/software investments.</span></li><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Support sellers in executive presentations, proposal walkthroughs, and orals, clearly articulating our Data & AI value proposition and differentiation.</span></li><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Participate in internal deal reviews with Insight leadership, presenting solution approach, delivery risks, and financials.</span></li></ul><p style="margin: 0in 0in 12pt; line-height: 125%;"> </p><p style="margin: 0in 0in 12pt; line-height: 125%;"><strong><span style="color: #1a1a1a;">Partner engagement & offerings</span></strong></p><ul style="margin-bottom: 0in; margin-top: 0px;"><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Develop strong working relationships with strategic Data & AI partners (e.g., Microsoft, AWS, Snowflake, Databricks, key ISVs) and incorporate their capabilities into client solutions.</span></li><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Assist sellers in leveraging partner incentives and funding (POCs, pilots, workshops, assessments) to accelerate Data & AI opportunities.</span></li><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Provide feedback into Insight’s Data & AI offerings and accelerators based on client demand and field experience.</span></li></ul><p style="margin: 0in 0in 12pt; line-height: 125%;"> </p><p style="margin: 0in 0in 12pt; line-height: 125%;"><strong><span style="color: #1a1a1a;">Governance, quality & reporting</span></strong></p><ul style="margin-bottom: 0in; margin-top: 0px;"><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Own solutions for assigned opportunities end-to-end, ensuring consistency between presales design and delivery handoff.</span></li><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Actively track Data & AI opportunities being worked, providing leadership with regular reporting on pipeline, revenue, and gross profit.</span></li><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Contribute to continuous improvement of presales artifacts (templates, reference architectures, SOW standards, estimators).</span></li></ul><p style="margin: 0in;"> </p><h2 style="margin: 0in 0in 9pt; line-height: 225%; break-after: avoid; color: rgb(15, 71, 97); font-weight: normal;"><span style="line-height: 225%; color: rgb(26, 26, 26);">What we’re looking for</span></h2><p style="margin: 0in 0in 12pt; line-height: 125%;"><strong><span style="color: #1a1a1a;">Experience</span></strong></p><ul style="margin-bottom: 0in; margin-top: 0px;"><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Minimum of <strong>10 years of experience</strong> in data-focused roles such as Data Architect, Analytics Architect, Data Engineering Lead, or similar, including client-facing responsibilities.</span></li><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Demonstrated presales or sales engineering experience for <strong>Data & AI professional services</strong>, including discovery, solution shaping, and SOW creation.</span></li><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Proven track record designing and/or implementing <strong>modern data platforms</strong> on Microsoft and/or AWS (e.g., Azure Data Lake/Synapse/Fabric, AWS S3/Glue/Redshift, Snowflake, Databricks).</span></li><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Experience with <strong>enterprise BI and analytics</strong> (e.g., Power BI, Tableau, Looker) and understanding of how data models support reporting and self-service analytics.</span></li><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Exposure to <strong>AI/ML and/or GenAI</strong> use cases (even at a conceptual level): understanding what is required from data to enable ML/AI, and how to position AI services responsibly.</span></li></ul><p style="margin: 0in 0in 12pt; line-height: 125%;"> </p><p style="margin: 0in 0in 12pt; line-height: 125%;"><strong><span style="color: #1a1a1a;">Core skills</span></strong></p><ul style="margin-bottom: 0in; margin-top: 0px;"><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Strong understanding of data architecture concepts:</span><ul style="list-style-type: circle; margin-bottom: 0in; margin-top: 0px;"><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Data lakes, lakehouse, and EDW patterns</span></li><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Batch and streaming data ingestion</span></li><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Dimensional and semantic modeling</span></li><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Data quality, lineage, and metadata management</span></li><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Data governance, security, and privacy</span></li></ul></li><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Ability to assess a client’s <strong>data maturity</strong> and propose pragmatic, phased roadmaps (assessment → foundation → use-case enablement → scale & optimize).</span></li><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Strong understanding of <strong>clients’ IT and business decision-making process</strong>, especially for data platform and analytics investments.</span></li><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Demonstrated ability to <strong>solution across multiple business units and offerings</strong>, integrating Cloud, Data, AI, Apps, and Managed Services where appropriate.</span></li><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Financial acumen: understanding of <strong>pricing, deal economics, business case development, and ROI</strong> in the context of Data & AI projects.</span></li><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Excellent communication skills:</span><ul style="list-style-type: circle; margin-bottom: 0in; margin-top: 0px;"><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Ability to present complex data and AI concepts in business-friendly language to executives</span></li><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Ability to go deep technically with architects, engineers, and data scientists</span></li><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Strong written skills for proposal and SOW development</span></li></ul></li></ul><p style="margin: 0in 0in 12pt; line-height: 125%;"><strong><span style="color: #1a1a1a;">Desirable</span></strong></p><ul style="margin-bottom: 0in; margin-top: 0px;"><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Experience with consultative frameworks for Data & AI (e.g., data strategy assessments, operating model design, AI readiness assessments).</span></li><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Familiarity with tools such as dbt, Fivetran/Matillion/AWS Glue, Apache Spark, and ML platforms (Azure ML, SageMaker, Databricks ML, or similar).</span></li><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Industry-specific data experience (e.g., financial services, healthcare, manufacturing, retail) is a plus.</span></li></ul><p style="margin: 0in 0in 12pt; line-height: 125%;"> </p><p style="margin: 0in 0in 12pt; line-height: 125%;"><strong><span style="color: #1a1a1a;">Soft skills</span></strong></p><ul style="margin-bottom: 0in; margin-top: 0px;"><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Executive presence with the ability to earn trust quickly in C-level conversations.</span></li><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Strong facilitation skills for workshops and multi-stakeholder sessions.</span></li><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Root cause analysis, structured problem solving, and the ability to simplify complexity.</span></li><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Collaborative working style with sales, delivery, and partner teams.</span></li><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Comfort with ambiguity and the ability to structure opportunities and deals from early concept to well-defined scope.</span></li></ul><p style="margin: 0in;"> </p><h2 style="margin: 0in 0in 9pt; line-height: 225%; break-after: avoid; color: rgb(15, 71, 97); font-weight: normal;"><span style="line-height: 225%; color: rgb(26, 26, 26);">What you can expect</span></h2><p style="margin: 0in 0in 12pt; line-height: 125%;"><span style="color: #1a1a1a;">We’re legendary for taking care of you, your family, and helping you engage with your local community. We want you to enjoy a full, meaningful life and own your career at Insight. Some of our benefits include:</span></p><ul style="margin-bottom: 0in; margin-top: 0px;"><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Full medical, dental, and vision benefits</span></li><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Bonus incentives</span></li><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Company 401(k) match</span></li><li style="margin: 0in 0in 0in 0px;"><span style="color: #1a1a1a;">Freedom to work from another location—even an international destination—for up to 30 consecutive calendar days per year</span></li></ul><p style="margin: 0in 0in 12pt; line-height: 125%;"> </p><p style="margin: 0in 0in 12pt; line-height: 125%;"><span style="color: #1a1a1a;">But what really sets us apart are our core values of <strong>Hunger, Heart, and Harmony</strong>, which guide everything we do, from building relationships with teammates, partners, and clients to making a positive impact in our communities. Join us today—your ambITious journey starts here.</span></p><p style="margin: 0in;"> </p><p><span style="color:#000000">The position described above provides a summary of some the job duties required and what it would be like to work at Insight. For a comprehensive list of physical demands and work environment for this position, </span><a href="https://www.insight.com/en_US/help/physical-demands-remote.html"><span style="color:#000000">click here</span></a><span style="color:#000000">.</span></p><p><span style="color:#000000"><span style="">Insight is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.</span></span></p><p> </p><p> </p><p align="center"><span style="color:#000000">Posting Notes: Chandler || Arizona (US-AZ) || United States (US) || IT Infrastructure & Support || None || US - Chandler,AZ ||</span></p></div>