Senior Manager Data Engineering

Posted An Hour Ago
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Bengaluru, Bengaluru Urban, Karnataka, IND
Hybrid
Senior level
HR Tech
The Role
Leads data and AI engineering teams responsible for enterprise data platforms, scalable pipelines, semantic models, metadata systems, and AI integrations. Owns architecture, roadmaps, production readiness, quality monitoring, incident response, cost controls, and cross-functional delivery. Builds team capabilities, establishes engineering standards, and measures business outcomes including data reliability, AI quality, adoption, efficiency, and operating costs.
Summary Generated by Built In

Why UKG:    

At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers start and end their days with our workforce operating platform. Helping people get paid, grow in their careers, and shape the future of their industries. That’s what we do.  

We never stop learning. We never stop challenging the norm. We push for better, and we celebrate the wins along the way. Here, you’ll get flexibility that’s real, benefits you can count on, and a team that succeeds together. Because at UKG, your work matters—and so do you. 

Role Overview
We are seeking a Senior Manager, Data & AI Engineering to lead a team building trusted enterprise data products and production-ready AI capabilities. This leader will own engineering delivery across data pipelines, semantic models, enterprise context layers, and AI agent integrations, helping teams turn complex enterprise data into reliable business insights and actions.
The role combines people leadership, architectural judgment, and delivery accountability. You will partner with business, architecture, cross functional leaders to prioritize high-value use cases, establish engineering standards, and measure business outcomes.
Key Responsibilities
• Build and lead the team: Recruit, coach, and develop data and AI engineers. Establish clear ownership, development plans, and accountability for engineering quality and delivery.
• Deliver enterprise data products: Lead the development of scalable ingestion and transformation pipelines, curated datasets, and reusable data products across business domains.
• Develop AI-ready data capabilities: Guide semantic modeling, metadata pipelines, knowledge graph integrations, and enterprise context services that provide AI applications with consistent business definitions and relationships.
• Own production readiness: Establish service expectations, monitoring, incident response, support handovers, and cost controls for data pipelines and AI services.
• Manage delivery and partnerships: Own roadmaps, capacity planning, technical dependencies, and delivery across multiple initiatives.
• Demonstrate business value: Track data reliability, delivery performance, AI answer quality, adoption, time saved, and operating costs to guide investment decisions.
Required Qualifications
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
• Typically 10+ years of experience in data engineering, software engineering, or related disciplines, including 3+ years leading Data engineering teams.
• Proven experience delivering and supporting enterprise data platforms and business-critical data pipelines.
• Strong technical foundation in SQL, Python, dimensional modeling, distributed processing, and cloud architecture.
• Experience with Google Cloud services such as BigQuery, Cloud Storage, Composer/Airflow, and Dataform, or comparable cloud technologies.
• Practical experience delivering AI-enabled applications, including LLM integration, retrieval-augmented generation, tool calling, and evaluation.
• Understanding of semantic models, metadata management, knowledge graphs, and their role in grounding AI responses.
• Experience implementing automated testing, CI/CD, data quality monitoring, and production support practices.
• Demonstrated ability to manage competing priorities, lead cross-functional delivery, and communicate technical decisions clearly.

Company Overview: 

UKG is the Workforce Operating Platform with unified HR, payroll, and workforce management, built to solve the unique challenges of frontline work. Powered by people-first AI and decades of labor data, UKG turns workforce intelligence into real-time decisions around staffing, pay, compliance, and productivity, enabling every worker to confidently take action as work happens. That’s why more than 80,000 organizations worldwide trust UKG to run their workforce — not just manage it. Learn more at ukg.com. 

UKG is proud to be an equal opportunity employer and is committed to promoting diversity and inclusion in the workplace, including the recruitment process.      

Disability Accommodation in the Application and Interview Process 

For individuals with disabilities that need additional assistance at any point in the application and interview process, please email [email protected] 


Skills Required

  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience
  • Typically 10+ years of experience in data engineering, software engineering, or related disciplines
  • 3+ years leading data engineering teams
  • Experience delivering and supporting enterprise data platforms and business-critical data pipelines
  • Strong foundation in SQL, Python, dimensional modeling, distributed processing, and cloud architecture
  • Experience with Google Cloud services including BigQuery, Cloud Storage, Composer or Airflow, and Dataform, or comparable technologies
  • Experience delivering AI-enabled applications using LLM integration, retrieval-augmented generation, tool calling, and evaluation
  • Understanding of semantic models, metadata management, and knowledge graphs
  • Experience implementing automated testing, CI/CD, data quality monitoring, and production support practices
  • Ability to manage competing priorities, lead cross-functional delivery, and communicate technical decisions clearly

UKG Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about UKG and has not been reviewed or approved by UKG.

  • Retirement Support — The company offers a notably rich retirement match with immediate vesting, strengthening long‑term financial security. This, alongside other financial programs, is positioned as a core element of the total rewards package.
  • Parental & Family Support — Paid parental leave, phased return, and family‑building assistance indicate breadth and depth of support. Coverage spans multiple family scenarios, reinforcing a family‑friendly package.
  • Healthcare Strength — Day‑one medical, dental, and vision options with added fertility coverage and regional plan choices reflect comprehensive care. Supplemental resources like condition‑management and 24/7 support services further enhance coverage breadth.

UKG Insights

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The Company
HQ: Weston, FL
13,500 Employees
Year Founded: 2020

What We Do

UKG is the Workforce Operating Platform that puts workforce understanding to work. With the world's largest collection of workforce insights, and people-first AI, our ability to reveal unseen ways to build trust, amplify productivity, and empower talent, is unmatched. It's this expertise that equips our customers with the intelligence to solve any challenge in any industry — because great organizations know their workforce is their competitive edge.

Why Work With Us

You want more than a job. You want meaningful work in a place where your goals and values matter. At UKG, your drive for impact drives us — because our mission is to understand and empower the working world.

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