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 Summary This is a pooled hiring role for the AI Automation Incubator — a cross-functional team responsible for discovering, designing, building, deploying, and scaling intelligent automation solutions across enterprise workflows. Rather than hiring into a single narrow function, this role brings together complementary capabilities across process analysis, automation engineering, applied AI/ML, data measurement, and change enablement. Candidates will contribute based on their strengths while collaborating across the full automation lifecycle.
The goal is not just efficiency — but maximizing human contribution. Every workflow is designed with human judgment, human override, and role elevation in mind. ________________________________________ Core Responsibilities Operational Leadership with AI Lead day-to-day work using AI as a core operational layer — not as an add-on tool
Apply AI to structure thinking, accelerate analysis, and improve decision quality
Identify where AI augments human judgment vs. introduces risk
Set standards for responsible AI use: transparency, validation, and override
Continuously translate emerging AI capabilities into practical workflow improvements ________________________________________ Work Design
Lead the organization through transformational work design — redefining how work should operate, not documenting how it currently works
Challenge legacy workflows, assumptions, and handoffs that no longer serve speed, quality, or human contribution
Partner with business leaders to identify structural constraints in current operating models and redesign them at the root
Define future-state workflows that intentionally rebalance automation and human judgment
Establish clear principles for what should be automated, augmented, or protected as expertise
Drive alignment on redesigned workflows before any build begins — ensuring the team is not scaling broken processes
Ensure all designs reflect the core principle: maximizing human contribution alongside automation
Automation Development & Integration
Build and configure automation workflows using platforms such as UiPath, Power Automate, Make, or similar
Integrate workflows with enterprise systems (CRM, ERP, HRIS, data platforms) via APIs and webhooks
Implement human-in-the-loop checkpoints, override mechanisms, and escalation paths
Monitor and maintain automation reliability, uptime, and performance ________________________________________ AI / ML Enablement
Evaluate where AI/ML improves automation quality or coverage
Integrate intelligent components (LLMs, NLP, document processing, classification models)
Define confidence thresholds and fallback logic for safe human intervention
Monitor model performance, drift, and reliability in production ________________________________________ Measurement & Insights
Design baseline and pilot measurement frameworks
Track metrics: processing time, error rates, throughput, override frequency
Analyze human contribution metrics (freed capacity, role elevation)
Build dashboards to inform scaling decisions ________________________________________ Change Management & Enablement
Support onboarding and training for automation deployments
Communicate system behavior, human roles, and override responsibilities
Collect qualitative feedback via interviews and surveys
Drive adoption through structured communication and stakeholder engagement ________________________________________ Cross-Functional Delivery & Ownership
Translate business requirements into workflows and implementation plans
Collaborate across roles from discovery through pilot and scale
Support documentation, testing, and operational readiness
Contribute reusable patterns and best practices ________________________________________ What We’re Looking For 3–6 years of experience in:
Process analysis
Automation engineering
Data analysis / BI
Applied AI/ML
Change management
Strong ability to structure ambiguous problems
Experience with automation tools and API integrations
Familiarity with AI/ML concepts and applied use cases
Proficiency in data tools (Excel required; SQL/BI preferred)
Basic scripting required (Python strongly preferred; Vertex AI, APIs, or similar platforms)
Robust communication skills across technical and non-technical audiences
Ability to work in globally distributed teams ________________________________________ Preferred Background Intelligent automation or AI workflow experience
Enterprise systems (Salesforce, SAP, Workday, ServiceNow)
Process mapping or process mining tools
Change management experience
Python or JavaScript scripting ________________________________________ About The Team This is a founding team operating across U.S. and India time zones with an async-first culture. Team members will work across disciplines and directly influence how the function is built. There is intentionally more ambiguity than in traditional roles — and significantly more opportunity to shape how automation is designed and deployed. ________________________________________ HUMAN CONTRIBUTION PRINCIPLE Automation must protect and elevate human contribution — not replace it.
Every System Must Include
Human-in-the-loop checkpoints
Clear override mechanisms
Feedback loops from human decisions
Measurement of human impact, not just efficiency ________________________________________ NOTE This pooled role is designed for flexibility. Candidates are not expected to cover every capability deeply on day one — but should bring strength in at least one area and the ability to collaborate across the full automation lifecycle.
Company Overview 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.
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]
📌 Lead Business Process Analyst (Pune)
🏢 Ukg
📍 Pune