Delivery Head, Hi-Tech Engineering (Data, Analytics, AI & Integration)

Persistent Systems

Dallas (TX)

On-site

USD 250,000 - 350,000

Full time

21 hours ago
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Job summary

Persistent Systems is seeking a seasoned Delivery Head – Hi-Tech Engineering to lead the Data, Analytics, AI & Integration portfolio across strategic clients. This senior leadership role owns large-scale global delivery, engineering excellence, and transformation outcomes, collaborating with CIOs, CTOs, CDOs and business leaders.

The ideal candidate has 18–25 years in IT services or consulting, a engineering or CS degree (Master's preferred), and a proven track record in BFSI data/AI programs,

Qualifications

  • 18–25 years of experience in IT services or consulting.
  • Bachelor's degree in Engineering/CS; Master's degree preferred.
  • Proven success leading large-scale Data/Analytics/AI programs for BFSI clients.
  • Experience managing multi-million-dollar delivery portfolios and global teams.

Responsibilities

  • Own end-to-end delivery for Hi-Tech Data, Analytics, AI & Integration engagements.
  • Lead multi-million-dollar global delivery portfolios with accountability for revenue, margins, CSAT, and delivery predictability.
  • Drive data modernization, cloud transformation, AI/GenAI adoption, analytics, and integration modernization programs.
  • Build trusted relationships with CIOs, CTOs, CDOs, engineering heads, and senior leaders.
  • Partner with Sales and Technology teams to shape large deals and expand strategic accounts.
  • Drive portfolio growth through client relationships and cross-sell opportunities.
  • Lead and mentor global delivery teams of delivery leaders, architects, and engineers.
  • Establish an engineering-first culture focused on AI-led engineering, automation and DataOps/MLOps.

Skills

Delivery leadership
Executive stakeholder management
Portfolio management
Global delivery

Education

Bachelor's degree in Engineering/CS
Master's degree preferred

Tools

Azure
AWS
Google Cloud
Apache Spark
Python
SQL
MuleSoft
Kafka
Power BI
Tableau
DevSecOps

Job description

We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem

Our disruptor’s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We have delivered 24 sequential quarters of growth with $436.5M in Q4 FY26 revenue, up 17.4% Y-o-Y growth. Our 26,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We won the 2025 ISG Star of Excellence™ Award for AI and Data Excellence and were named a Leader in the Everest Group Talent Readiness for Next-generation Data, Analytics and AI Services PEAK Matrix® Assessment 2025.

Role: Delivery Head – Hi-Tech Engineering (Data, Analytics, AI & Integration)

Experience: 18–25 Years

Role Overview:

Persistent is seeking a seasoned Delivery Head – Hi-Tech Engineering to lead our Data, Analytics, AI & Integration portfolio across strategic Hi-Tech clients.

This senior leadership role will own large-scale global delivery, engineering excellence, client relationships, portfolio growth, and transformation outcomes. The leader will work closely with CIOs, CTOs, CDOs, engineering leaders, and business stakeholders to drive next-generation Data, Cloud, AI and Integration transformation.

Key Responsibilities:

  • Own end-to-end delivery for strategic Hi-Tech Data, Analytics, AI & Integration engagements.
  • Lead complex, multi-million-dollar global delivery portfolios with accountability for revenue, margins, quality, CSAT, and delivery predictability.
  • Drive enterprise data modernization, cloud transformation, AI/GenAI adoption, analytics, and integration modernization programs.
  • Build trusted relationships with CIOs, CTOs, CDOs, Engineering Heads, and senior business leaders.
  • Partner with Sales, Consulting, and Technology teams to shape large deals, support pursuits, and expand strategic accounts.
  • Drive portfolio growth through deeper client relationships, cross-sell/upsell opportunities, and new transformation initiatives.
  • Lead and mentor global teams of delivery leaders, architects, engineering managers, and technology specialists.
  • Establish an engineering-first culture focused on AI-led engineering, automation, DataOps/MLOps, reusable assets, and productivity improvement.
  • Own executive-level governance, delivery risk, financial performance, talent strategy, and operational excellence.

Required Experience

  • 18–25 years of experience in IT Services, Digital Engineering, or Consulting.
  • Bachelor's degree in Engineering, Computer Science, or a related technical discipline from a reputed institution; Master's degree preferred.
  • Proven success leading large-scale Data, Analytics, AI, and Integration programs for Banking, Financial Services & Insurance (BFSI) clients.
  • Strong experience managing multi-million-dollar delivery portfolios and distributed global teams.
  • Demonstrated ability to drive customer success, operational excellence, and profitable growth.

Technical & Domain Expertise

  • 18–25 years of experience across Digital Engineering, IT Services, Technology Consulting, or Engineering Services.
  • Proven leadership experience within the Hi-Tech / Technology / Software / Platform ecosystem.
  • Strong track record of leading large Data, Analytics, AI and Integration transformation programs.
  • Experience managing large global delivery organizations and multi-million-dollar portfolios.
  • Strong commercial orientation with ownership of revenue, profitability, account growth, and delivery economics.
  • Demonstrated ability to engage and influence C-suite and senior technology stakeholders.
  • Experience partnering with Sales on large pursuits, solutioning, renewals, account mining, and strategic growth.

Technology & Engineering Expertise

  • Cloud: Azure, AWS and/or Google Cloud
  • Data Engineering: Spark, Python, SQL, ETL/ELT, Lakehouse, DataOps
  • AI: Machine Learning, Generative AI, LLMs, Agentic AI, MLOps
  • Analytics: Power BI, Tableau and modern analytics platforms
  • Integration: API-led architecture, MuleSoft, Kafka, Azure Integration Services
  • Engineering: Cloud-native architecture, microservices, APIs, DevSecOps, automation and SRE

Ideal Candidate:

  • Senior engineering and delivery executive with significant Hi-Tech industry experience.
  • Combines technology depth, delivery leadership, commercial acumen, and strong client relationships.
  • Proven ability to lead and transform complex global delivery portfolios.
  • Strong executive presence with the ability to influence C-suite stakeholders.
  • Growth-oriented leader with experience expanding strategic accounts while maintaining delivery excellence.
  • Passionate about leveraging Data, AI, GenAI and modern engineering practices to create measurable client outcomes.
  • Proven track record of building and scaling high-performing global engineering teams.

Success Metrics

  • Delivery predictability and quality
  • Revenue growth and account expansion
  • Gross margin improvement
  • Successful cloud and AI transformation outcomes
  • Team engagement and retention
  • Reusable engineering assets and automation adoption
  • Delivery governance and compliance

Our company fosters a values-driven and people-centric work environment that enables our employees to:

  • Accelerate growth, both professionally and personally.
  • Impact the world in powerful, positive ways, using the latest technologies.
  • Enjoy collaborative innovation, with diversity and work-life wellbeing at the core.
  • Unlock global opportunities to work and learn with the industry’s best.
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