Data and AI Solution Leader

Company Overview

Trianz is an applied AI solutions company that accelerates customer business transformation through AI powered “Transformation Services as a Software Model”. With 25+ years of transforming enterprises, we’ve evolved to a product-led, platform-driven organization serving global enterprises across Financial Services, Insurance, Healthcare, Hi-Tech, Manufacturing, and other industries.

With global presence across 4 continents, our platform portfolio under the unified Concierto brand delivers end-to-end transformations including solutions for Migrate, Manage, Maximize, Modernize, Insights & Agentic AI, and SecOps - delivered through strategic partnerships with leading hyperscalers.

We’re building the premier innovation-led organization in the digital transformation space through AI-first methodologies and data-driven excellence

• RevolutionAIzing Transformations.

Data and AI Solution Leader

Location: US / Remote – Prefer East Coast

Other locations: [Secondary locations if applicable] Employment Type: Full-time

Role Overview

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

Pre-Sales & Deal Solutioning

• Lead end-to-end solution architecture for strategic DAI pursuits — data platform and database modernization (including Lakehouse, data warehouse migration, database modernization, Oracle/SQL/MongoDB, Fabric/Snowflake/Databricks), enterprise GenAI applications (RAG, agentic workflows, multi-agent orchestration), and AI-led automation engagements
• Lead agentic AI use-case discovery and qualification for client environments — identifying high-value adoption opportunities across business functions, prioritizing by feasibility and ROI, and developing customized POCs that validate solution fit and accelerate deal conversion
• 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 …