Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Architect Engagement Manager - Assistant Vice President -English

Genpact
London
4 days ago
Create job alert
Overview

Ready to build the future with AI?

At Genpact, we don’t just keep up with technology—we set the pace. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges.

If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment.

Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.

Inviting applications for the role of Data Architect Engagement Manager - Assistant Vice President - English.

We are seeking a dynamic and entrepreneurial Data Architect to help us drive both sales growth and delivery excellence across our client base. This is a dual-role requiring approximately 50% focus on billable client delivery and 50% on sales and business development. The ideal candidate will be hands-on in driving account growth, proactively walking client floors, understanding pain points, and identifying new opportunities to add value through data-driven solutions.

Responsibilities

Sales and Growth (50%)

  • Build strong, trust-based relationships with client stakeholders by regularly engaging on-site and walking client floors.
  • Identify upsell and cross-sell opportunities within ongoing engagements by understanding evolving client needs.
  • Partner with Account and Practice leaders to drive pipeline development and deal conversion.
  • Lead sales pursuits from lead identification through qualification, proposal creation, and pricing.
  • Contribute to new business development and expansion within existing accounts through solutioning and executive-level engagement.

Delivery and Solutioning (50%)

  • Ensure high-quality delivery across data engineering and architecture projects.
  • Own solution design and delivery oversight to align with client objectives and industry best practices.
  • Develop and implement innovative, cloud-first data strategies using modern platforms like Snowflake, Databricks, Azure, AWS, or GCP.
  • Act as a trusted advisor to client executives, providing thought leadership on data architecture, governance, and modernization.
  • Guide internal teams on technical and strategic delivery, driving measurable outcomes and client satisfaction.
Qualifications

Minimum Qualifications / Skills

  • Experience in consulting, preferably in business leadership
  • OR, multiple years of demonstrated experience in enterprise digital and tech-enablement transformations, preferably in data engineering, data architecture & design, dataops, analytics, or data strategy.
  • Proven track record in selling and delivering enterprise data engineering or architecture solutions.
  • Deep expertise building and architecting enterprise solutions in Databricks, Snowflake, AWS, Azure, GCP or other modern data architecture tools.

Preferred Qualifications / Skills

  • Ability to guide the customer teams on enabling them with data onboarding, fluency and literacy on Snowflake.
  • Experience in sales pursuit activities (prospecting, discovery, qualification) involving data engineering, data science and Data Analytics.
  • Experience with modern data technology solutions like Databricks, Snowflake, Azure, AWS.
  • Experience in driving revenue growth through data engineering solutions.
Why join Genpact?
  • Lead AI-first transformation – Build and scale AI solutions that redefine industries
  • Make an impact – Drive change for global enterprises and solve business challenges that matter
  • Accelerate your career — Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills
  • Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace
  • Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build
  • Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress

Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.

Let’s build tomorrow together.

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a starter kit, paying to apply, or purchasing equipment or training.


#J-18808-Ljbffr

Related Jobs

View all jobs

Big Data Solutions Architect (Spark, DE, AWS, Azure)

Big Data Solutions Architect (DE, Spark Architecture)

Senior Data Architect

Senior Data Architect

Customer Data Architect – Associate Manager

Data Architect

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Best Free Tools & Platforms to Practise Data Science Skills in 2025/26

Data science continues to be one of the most exciting, high-growth career paths in the UK and worldwide. From predicting customer behaviour to detecting fraud and driving healthcare innovations, data scientists are at the forefront of digital transformation. But breaking into the field isn’t just about having a degree. Employers are looking for candidates who can demonstrate practical data science skills — analysing datasets, building machine learning models, and presenting insights that solve real business problems. The best part? You don’t need to spend thousands on premium courses or expensive software. There are dozens of high-quality, free tools and platforms that allow you to practise data science in 2025. This guide explores the best ones to help you learn, experiment, and build portfolio-ready projects.

Top 10 Skills in Data Science According to LinkedIn & Indeed Job Postings

Data science isn’t just a buzzword — it’s the engine powering innovation in sectors across the UK, from finance and healthcare to retail and public policy. As organisations strive to turn data into insight and action, the need for well-rounded data scientists is surging. But what precise skills are employers demanding right now? Drawing on trends seen in LinkedIn and Indeed job ads, this article reveals the Top 10 data science skills sought by UK employers in 2025. You’ll get guidance on showcasing these in your CV, acing interviews, and building proof of your capabilities.

The Future of Data Science Jobs: Careers That Don’t Exist Yet

Data science has rapidly evolved into one of the most important disciplines of the 21st century. Once a niche field combining elements of statistics and computer science, it is now at the heart of decision-making across industries. Businesses, governments, and charities rely on data scientists to uncover insights, forecast trends, and build predictive models that shape strategy. In the UK, data science has become central to economic growth. From the NHS using data to improve patient outcomes to financial institutions modelling risk, the applications are endless. The UK’s thriving tech hubs in London, Cambridge, and Manchester are creating high demand for data talent, with salaries often outpacing other technology roles. Yet despite its current importance, data science is still in its infancy. Advances in artificial intelligence, quantum computing, automation, and ethics will transform what data scientists do. Many of the most vital data science jobs of the next two decades don’t exist yet. This article explores why new careers are emerging, the roles likely to appear, how current jobs will evolve, why the UK is well positioned, and how professionals can prepare now.