Data & AI Solutions Leader

Trianz; United States; On-site; USD 180,000 - 260,000; Full time

Job summary

Trianz seeks a Data & AI Solutions Lead within the Global Solutions & Platform Advisory Team to own the solutions strategy and growth agenda for the Data Modernization, Insights, and Agentic AI domains. You will lead architecture, defense, and platform adoption for Concierto Intelligence, shaping offerings and accelerators while driving DAI pipeline and practice expansion.

You will manage a team of solution architects, collaborate with hyperscaler partners, and serve as the senior technical

Qualifications

• 15+ years of experience in data & AI consulting, digital transformation, or technology solutions leadership.
• Direct experience positioning and selling AI/ML platforms, analytics solutions, and data modernization programs to C-suite executives.
• Demonstrated experience delivering AI at production scale with measurable business outcomes.

Responsibilities

• Lead the Data & AI solutions strategy and offerings roadmap across Data Modernization, Insights, and Agentic AI.
• Own effort estimation, solution pricing inputs, and commercial model structuring for DAI deals.
• Lead end-to-end solution architecture for strategic DAI pursuits and client engagements.

Skills

Data & AI leadership

Pre-sales solutioning

Executive communication

Portfolio governance

Team mentorship

Tools

Snowflake

Databricks

Power BI

Tableau

AWS

Job description

As the Data & AI Solutions Lead within the Global Solutions & Platform Advisory Team, you will

own the solutions strategy, pre-sales solutioning, and growth agenda for the Data, Insights &

Agentic AI (DAI) domain covering Data Modernization, Enterprise Insights, and Agentic AI. This

is a senior leadership role at the intersection of technology strategy and commercial execution:

you will define the DAI offering roadmap, lead solution architecture and technical defense for

the most strategic Data & AI pursuits, drive adoption of the Concierto Intelligence platform, and

build the accelerators, partnerships, and talent that differentiate Trianz in the market. You will

operate platform-first - anchoring every solution, proposal, and offering, to Concierto-led

positioning and carry direct accountability for DAI pipeline contribution, win rates, and practice

expansion. You will lead a team of Data & AI solution architects and specialists and serve as

the senior technical voice for DAI across clients, Hyperscaler partners, and internal leadership.

KEY RESPONSIBILITIES

Solutions Strategy & Offering Leadership

• Lead the Data & AI solutions strategy and offerings roadmap across Data Modernization, Insights, and Agentic AI — defining offering priorities, platform capability sequencing, dependencies, and multi-year practice growth outcomes aligned to the Transformation Solutions & Technology Office charter
• Translate market demand, pipeline signals, and hyperscaler GTM motions into an actionable offering portfolio — clarifying scope, differentiation, commercial models, and value measures for Sales, Practice, and Platform Engineering stakeholders
• Continuously evolve the DAI offering catalog (multiple offerings today spanning Advisory & Strategy, Data Modernization & Platforms, AI/ML & Agentic Engineering, and Insights/Automation/Experience) — retiring, refreshing, and launching offerings based on win/loss insight and market movement
• Own the DAI reusable asset and IP agenda — proprietary accelerators, DALAI readiness assessment frameworks, agentic AI production blueprints, GenAI evaluation frameworks, and data platform modernization blueprints that create demonstrable differentiation
• Establish lightweight governance routines for the DAI solutions function — portfolio reviews, investment decisions, dependency management, and risk escalation paths that keep the function transparent and accountable
• Collaborate with Platform engineering in shaping and driving roadmap for Concierto Intelligence Platform and other DAI related initiatives
• Lead end-to-end solution architecture for strategic DAI pursuits — data platform and database modernization (including Lakehouse, data warehouse migration, database applications (RAG, agentic workflows, multi-agent orchestration), and AI-led
• Own effort estimation, solution pricing inputs, and commercial model structuring for DAI deals — including platform-vs-services pricing constructs and CSP funding alignment
• Lead technical solution defense sessions with client architecture teams, CDOs/CTOs, and AWS/Azure/GCP alliance stakeholders — presenting and defending solution designs, platform recommendations, and delivery approaches under challenge
• Contribute standardized DAI solution content, architecture templates, win themes, and differentiator narratives to the Proposal CoE — ensuring consistent, high-quality proposal output across all Data & AI opportunities
• Lead client discovery workshops, AI use-case prioritization sessions, and Data & AI readiness assessments (DALAI) that convert advisory engagements into platform-led delivery pipelines
• Build client-facing business cases and ROI models for AI investments — connecting proposed solutions to measurable outcomes in adoption, decision velocity, operational efficiency, and cost

Platform & Partner Enablement

• Drive market adoption and positioning of Concierto Intelligence, leading platform demos (standard and customized), POC enablement, and use‑case development that showcases platform capabilities in pursuit contexts
• Feed structured market and deal insight back into the Concierto platform engineering roadmap for new capability prioritization, agentic AI marketplace inputs, and beta validation
• Deepen AWS, Azure, GCP and other ISV partnerships as the DAI technical lead and support co-sell motions — funding program navigation, joint solution development, and alliance-sourced pipeline cultivation
• Sustain and extend analyst recognition through capability evidence, client references,

Practice & Team Development

• Lead, mentor, and grow the Data & AI solution architecture team
• Develop thought leadership that builds market credibility — whitepapers, POVs, blogs, and conference presence
• Model an entrepreneurial, revenue-focused operating style — identifying expansion opportunities in existing accounts, shaping new logo pursuits, and treating the DAI practice as a growth business
• Partner with delivery leadership on warm handover, Day 0 support, and seed-team models for strategic DAI engagements — ensuring solutioning promises translate to delivery success

REQUIRED SKILLS & QUALIFICATIONS

• 15+ years of experience in data & AI consulting, digital transformation, or technology solutions leadership — with at least 5 years leading data/analytics/AI practices or solution teams of architects, engineers, and consultants
• Direct experience positioning and selling AI/ML platforms, analytics solutions, and data modernization programs to C-suite executives — with proven ownership of pre-sales solutioning, technical defense, and deal shaping (not delivery alone)
• Demonstrated experience delivering AI at production scale — moving beyond experimentation to enterprise‑grade GenAI and agentic deployments with measurable business outcomes
• Deep architectural expertise across the modern data stack: cloud data platforms (Snowflake, Databricks, Redshift, Microsoft Fabric), Lakehouse and data mesh architectures, Object, relational and hierarchical databases, data engineering (Spark, Airflow, dbt, Glue), and BI/analytics modernization (Power BI, Tableau)
• Hands‑on architectural depth in GenAI and Agentic AI: LLM application architecture (RAG-based), prompt engineering, LLMOps for deployment and monitoring, agentic workflow engineering, multi‑agent orchestration frameworks, and AI eval/security practices
• Cloud platform expertise with AWS as primary — Bedrock, AgentCore, SageMaker, Redshift, Glue, Kinesis — and Azure & GCP as strong additive (Fabric, OneLake, Azure AI
• Working fluency with foundation model providers and ecosystems (Anthropic Claude, OpenAI, open-weight models) and their enterprise application patterns
• Strong expertise in data governance, data quality/lineage, responsible AI, and compliance-first frameworks (GDPR, HIPAA) for regulated industry contexts
• Strong business case development, pricing framework, and effort estimation experience for platform-led deals — including P&L awareness, profitability management, and resource allocation across concurrent pursuits
• Prior SI, cloud consulting, or hyperscaler professional services background strongly preferred; experience in onsite-offshore delivery and solutioning models required
• Executive-grade communication — able to produce and present board-quality POVs, roadmaps, and business cases, and defend recommendations against senior client
• Willingness to travel up to 25–50% to client sites and Trianz locations, as needed