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Senior Manager Data Engineering
Reads like a Data Leadership role: running a data team.
Bengaluru, KA, IN
Actively hiring, first seen by us today- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingRecruit, coach and develop data and AI engineers
Lead development of scalable ingestion and transformation pipelines and data products
Guide semantic modeling and knowledge graph integrations for AI applications
Set monitoring, incident response and cost controls for pipelines and AI services
Own roadmaps, capacity planning and delivery across multiple initiatives
From the employer’s posting
Recruit, coach, and develop data and AI engineers
Lead the development of scalable ingestion and transformation pipelines, curated datasets, and reusable data products
Guide semantic modeling, metadata pipelines, knowledge graph integrations, and enterprise context services
Establish service expectations, monitoring, incident response, support handovers, and cost controls for data pipelines and AI services
Own roadmaps, capacity planning, technical dependencies, and delivery across multiple initiatives
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 4, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
UKG is hiring
12 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring has slowed
- Takes jobs down quickly
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- BigQuery
- Airflow
- GCP
Where the posting names them
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:
Your next step
Complete your application on apply.ukg.com. The employer’s form will show what is required.
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About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job description
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 UKGCareers@ukg.com
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- Location & working pattern
Bengaluru, KA, IN
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