Practice Leader – Data, AI & Analytics Engineering

Job Title: - Practice Leader – Data, AI & Analytics Engineering

The Practice Leader – Data, AI & Analytics Engineering will be responsible for building and scaling Quess's data and AI practice, driving innovation across Data Platforms, Data Engineering, Business Intelligence, and AI/ML solutions

.This is a practice-building leadership role with end-to-end ownership of capability development, solutioning, client engagement, and ecosystem partnerships—focused on delivering data-driven transformation and business outcomes for enterprise clients

.
Key Responsibiliti

esPractice & CoE Developme

nt• Build and scale the Data, AI & Analytics Engineering practice with a focus on modern data architectures and analytics platform

s.• Design and establish Centers of Excellence (CoEs) across Data Engineering, BI Visualization, and AI/M

L.• Define best practices for data ingestion, transformation, governance, security, and observability across hybrid/multi-cloud environment

s.• Drive reusable assets, frameworks, and accelerators for scalable deliver

y.Solutioning, Pre-Sales & Customer Engageme

nt• Lead solution architecture, technical proposals, and RFP/RFI responses for data and AI transformation program

s.• Conduct client workshops, demos, and POCs showcasing data pipelines, dashboards, and AI/ML use case

s.• Partner with Sales and Account teams to build data modernization and AI-led transformation roadmap

s.• Translate complex business problems into data-driven insights and predictive solution

s.Partner Ecosystem & Allianc

es• Build and strengthen partnerships with hyperscale's and platforms such as Microsoft, AWS, Google, Databricks, and Snowflak

e.• Drive strategic certifications and partner program growth (e.g., AWS Advanced Consulting Partner, Azure AI Partner

).• Collaborate with OEMs for joint GTM strategies and co-sell opportunitie

s.Talent Validation & Capability Buildi

ng• Develop competency frameworks and skill matrices across Data Engineering, BI, and AI/ML role

s.• Lead technical evaluations, candidate validation, and hiring quality assuranc

e.• Design and implement training programs, certification tracks, and mentoring initiative

s.• Foster a strong data culture focused on innovation, experimentation, and continuous learnin

g.Business & Technology Leadersh

ip• Own practice strategy, delivery models, and capability roadma

p.• Collaborate with Digital Engineering and Enterprise Applications teams for integrated solution

s.• Create thought leadership assets (case studies, whitepapers, solution playbooks

).
Key K

PIs• Practice Revenue Growth and Contribut

ion• Gross Margin & Delivery Efficie

ncy• Number of CoEs Established and Sca

led• Pre-Sales Win Rate / Solution Conversion Ra

tio• Partner Certifications & Ecosystem Gro

wth• Talent Capability Index (certifications, skill readine

ss)• Client Satisfaction & Delivery Excelle

nce
Ideal Candidate Pro

file
• 12–16 years of experience in Data Engineering, Analytics, or

AI/ML• Minimum 5 years of hands-on experience in data platforms and/or AI technol

ogies• Proven experience in building/scaling data practices or CoEs in IT services or digital transformation environ

ments• Strong expertise in data modernization, governance, and end-to-end analytics life

cycle• Experience across at least one major cloud ecosystem (AWS, Azure, or

GCP)• Mandatory experience in supporting sales and pre-sales, solution architecture, and enterprise consu

lting• Experience managing OEM partnerships and driving certification pro