Data & AI Solutions Leader

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 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

Foundry, Azure data platforms, vertex AI, BigQuery, Gemini integrations)

• 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

challenge

• Willingness to travel up to 25–50% to client sites and Trianz locations, as needed