Data & AI Modernization – Presales Solution Architect

Director, Data & AI Modernization – Presales Solution Architect

Microsoft Data Platform, Analytics & AI-Ready Data Foundations — Healthcare & Retail

Genzeon is seeking a proven, client-facing Director - Data & AI Modernization - Presales Solution Architect to serve as a strategic partner to our customers and sales teams, providing technical leadership, co-leading client pursuits, shaping solutions and services, and helping drive growth for our Data & AI service line. Leveraging Microsoft's Data and AI platform, Microsoft Fabric, OneLake, Azure Databricks, Azure Snowflakes, Azure Data Factory, Power BI, and Microsoft Purview as the core technology foundation, you will architect modern data platforms, translate complex data challenges into target-state architectures, and help health plans, providers, and retail organizations build the AI-ready data foundations that power analytics, insights, Copilot, and Agentic AI initiatives.

You will be the primary, hands on Data solution leader, advisor, and Microsoft-channel anchor on new logo and expansion pursuits working closely with sales, delivery, to shape, scope, and win data related deals, and ensuring the data architectures and designs are deliverable, governed, and grounded in real client outcomes.

The Opportunity

We're looking for a Director level technical leader who can front-end data architecture for complex pursuits, create differentiated proposal content and demo assets, lead client workshops with healthcare and retail stakeholders, shape and win data modernization and AI-readiness deals built on Microsoft Fabric and Azure Databricks, and establish Genzeon's technical credibility in Data & AI Modernization.

Key Responsibilities

Presales & Deal Pursuit Leadership

• Serve as the Technical SPOC and SME for Sales across all GTM activities related to Data, deal support, pursuits, proactive engagement, and thought leadership, qualify leads, build points of view (POVs), and proactively engage with clients to expand data footprint.
• Partner with sales and delivery teams to shape, scope, and win new logo and expand existing accounts across Healthcare and Retail Data & AI initiatives; collaborate with sales to develop winning solution strategies and co-lead client pursuits end to end.
• Build proposals and SOWs, effort estimates, resource loads, and solutions to address client challenges and business problems and own technical content development for RFPs, RFIs, and proposals, including architecture diagrams.
• Perform client engagement activities including discovery, whiteboarding sessions, and consultative advisory, and lead end-to-end technical presales, discovery, solutioning, demos, PoCs, and facilitate seamless transition to delivery for execution.

AI & Data Strategy Advisory

• Act as the trusted advisor for customers on data foundations for Generative AI, Copilot, and Agentic AI, semantic models, knowledge architectures, RAG-grounding data strategies and helping them move from raw data to AI-consumable data; drive adoption of modern Data, Analytics, and Agentic AI solutions leveraging cloud-native platforms and industry best practices.
• Guide clients through data governance, platform rationalization, and AI-readiness, evaluate tradeoffs across compute cost, performance, and total cost for their data platform choices, define solution roadmaps and drive measurable outcomes.
• Lead executive workshops and technical discovery sessions for payers, providers, and retail stakeholders; advise CIOs, Chief Data Officers, and Analytics leaders on data modernization, AI adoption and influence technical and business decisions.

Healthcare & Retail Data & Interoperability

• Shape modernization pursuits across payer, provider, and Retail organizations, translating claims, clinical, EHR/EMR, and supply chain analytics challenges into scalable data architectures.
• Design healthcare interoperability-aware data solutions (HL7 v2/v3, FHIR, X12 837/835, CCD/CCDA) and ensure alignment with HIPAA, HITRUST, and CMS interoperability mandates as they affect data architecture.
• Bring practical understanding of claims analytics, HEDIS/quality reporting, risk adjustment, population health, and retail/consumer analytics into applicable solution pursuits.

Solution Architecture & Technical Leadership

• Front-end technical solution architecture discussions with clients across data ingestion, lakehouse/warehouse design, governance, and analytics/AI consumption layers.
• Design end-to-end target-state architectures using Microsoft Fabric, OneLake, Azure Databricks, Azure Snowflake, Power BI, and Microsoft Purview, or similar platforms.
• Bring thought leadership in defining solution accelerators and IP in Data, AI & Analytics, architect modern Lakehouse, Data Mesh, and real-time analytics patterns, and lead solution reviews to ensure architectural excellence and deliverability.

Microsoft & Databricks Ecosystem Engagement

• Serve as the anchor for Data & Analytics discussions with the Partners, building and maintaining relationships within the Microsoft sales, PDM, PSA, Data & AI Specialists, and CSA teams and with Databricks field teams, to unlock co-sell opportunities.
• Leverage Microsoft partner designations (Solutions Partner, Specializations, Fabric Featured), co-sell tools, MACC and Incentive programs to accelerate and de-risk pursuits.
• Stay on top of technology evolution, with a primary focus on Microsoft technologies (Fabric, OneLake, Databricks-on-Azure, Purview updates), and translate it into pursuit and proposal value.

What We're Looking For

• 15 years of experience in Data, Analytics, and AI, including Presales, solution architecture, and customer-facing consulting roles ideally within a Microsoft-focused services organization.
• Strong hands-on mindset with the ability and readiness to dive deep into architecture and modernization roadmaps, especially within the Microsoft Azure stack.
• Strong hands-on or architectural depth in Microsoft Fabric and OneLake, Azure Databricks (Delta Lake, Unity Catalog, medallion architecture, Spark-based pipelines), Azure Snowflake, Power BI, and Microsoft Purview.
• Solid understanding of modern data stack components: data lakehouses, ETL pipelines, data governance, master data management, and BI/analytics layers.
• Excellent customer-facing presence, with credentials and the ability to bring credibility to consultative discussions with clients in Data & Analytics.
• Proven ability to engage CXOs, shape transformation programs, and influence both technical and business decisions.
• Demonstrated experience architecting data foundations for Generative AI, Copilot, and Agentic AI, semantic models, knowledge architectures, and RAG-grounding patterns.
• Healthcare and Retail domain experience preferred, including familiarity with healthcare data domains (claims, clinical, EHR/EMR, payer/provider operations) and standards like HL7 v2/v3, FHIR, X12 837/835, CCD/CCDA, and/or retail and consumer analytics.
• Track record of building reusable accelerators, frameworks, or IP assets that have driven measurable differentiation or faster time-to-value in prior engagements.
• Direct experience working within the Microsoft partner/channel ecosystem, co-sell motions, MACC, Fabric and partner incentive programs, and joint solution development with Microsoft field teams.
• Demonstrated ability to lead client and executive workshops that generate strategic opportunities, working closely with sales, delivery, and client partner teams.
• Strong storytelling, executive presentation, and cross-functional influence skills in matrixed organizations; comfortable presenting technical narratives to C-level and technical audiences alike.

Preferred Qualifications

• Prior experience at a healthcare, retail organization, or IT services/consulting firm serving healthcare and/or retail clients.
• Certifications in Microsoft Fabric, Databricks (Data Engineer Associate/Professional), Azure Data Solutions, or Azure Solutions Architect Expert.
• Familiarity with AI/ML platforms, semantic models/knowledge architectures, and AI/ML use cases in healthcare (predictive risk models, NLP on clinical notes, GenAI-driven analytics).
• Standing relationships with Microsoft Fabric/Databricks partner alliance teams, and familiarity with Microsoft's partner designations (Solutions Partner, Specializations, Featured Partner) and co-sell plays.
• Exposure to analyst frameworks and reports (Gartner, Forrester, HFS, Everest Group, ISG, Avasant) on data modernization, healthcare IT, or retail analytics.

Education

Bachelor's degree in Computer Science, Information Systems, Healthcare Informatics, or related field. Master's degree a plus.