Description
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Job Function:
Data Analytics & Computational SciencesJob Sub Function:
Business IntelligenceJob Category:
ProfessionalAll Job Posting Locations:
Bangalore, Karnataka, IndiaJob Description:
The Sr. Manager, Procurement Digital Solutions & AI will sit within the Procurement Digital Solutions & AI organization, and shape the solution bridge between global process objectives and AI-enabled capabilities. In partnership with the Global Process, Data, IT, and SAAS supplier stakeholders, this role is responsible for translating process objectives into high-level intelligent workflow designs, connecting data and intelligent capabilities across the internal & SAAS-based AI ecosystem, and across end-to-end Procurement to deliver cohesive, and scalable outcomes.
This position will also oversee & manage the delivery against AI roadmaps, ensuring milestones are met and work is executed with quality and discipline. They will also ensure the on-going effectiveness of agentic-based solutions through both cost & value management.
Key Accountabilities
1) Intelligent End-to-End Workflow Solutioning — 40%
· Define high-level solution patterns for intelligent workflows (end-to-end), including platforms / components, data integration points, orchestration approach, and experience flow.
· Define how SaaS platform AI, internal AI agents/assistants, and an orchestration layer work together to deliver a cohesive human-centered experience.
· Establish clear tradeoffs (build vs. buy vs. augment), aligning to feasibility, cost, risk, scalability, and Enterprise standards.
2) Agentic AI Capability Mapping — 40%
· Map business requirements to the right AI approach (e.g., platform-native AI, internal agent, assistant, analytics/ML, document intelligence, retrieval-based knowledge).
· Apply agentic AI principles: agents that plan, use tools, take actions, and execute multi-step workflows (vs. single-turn chat).
· Recommend fit-for-purpose agentic design patterns (e.g., plan-and-execute, tool-use, reflection, human-in-the-loop checkpoints) to match process risk and automation goals.
· Incorporate human-in-the-loop controls and escalation paths for high-stakes decisions and exception handling.
3) Delivery Leadership, Governance, and Adoption Enablement — 20%
· Manage day-to-day execution oversight (ie. backlog planning; change & comms.); Ensure milestones/goals are met, and actively manage capacity, staffing needs, and delivery health.
· Partner with process leaders, change, and comms. stakeholders to drive adoption and sustained value.
· Actively manage agent run costs and value delivery, ensuring agent value is continuously optimized.
Required Qualifications
Education
· Bachelor’s degree in Engineering, Data Science, Computer Science, Information Systems, or related field (or equivalent experience).
Experience
· 10+ years in a blend of business analysis, process engineering, product/solution design, intelligent automation, and / or AI solution delivery.
· 1–3+ years of people leadership and / or leading delivery pods as a first-line manager.
· Experience designing and implementing:
- Retrieval-augmented generation (RAG) and enterprise knowledge integration [
- Agent orchestration/workflow layers
- Output validation / guardrails, monitoring, and evaluation frameworks
· Demonstrated experience translating business needs into solution intent, and delivery-ready requirements (including managing risks/assumptions/constraints).
· Exposure to Procurement processes sufficient to connect opportunities to capabilities.
Core Skills
· AI fluency: Ability to select patterns for LLM/agentic workflows (tool use, memory / context, planning / reflection loops), and to define controls such as human review checkpoints.
· Data Science fluency: Understanding of foundational Data Science capabilities, and ability to apply that understanding to:
o Conduct Data Science-based data analyses to support opportunity identification and business case development
o Connect requirements to algorithmic data science, ML-based, GenAI-based, and Agentic-based capabilities for solution development
· Requirements documentation, story writing / acceptance criteria, and stakeholder facilitation.
· High-level solution design: Components, integrations, orchestration thinking, and ability to communicate designs clearly.
Preferred Qualifications
- Experience with Procurement SaaS platforms, and connecting business requirements to platform capabilities (AI features included).
- Experience designing AI-ready data models, and semantic data layers.
- Hands-on experience designing and deploying intelligent solutions using the Microsoft ecosystem.
Required Skills:
Preferred Skills:
Advanced Analytics, Business Behavior, Business Intelligence (BI), Controls Compliance, Cross-Functional Collaboration, Data Analysis, Data Governance, Data Privacy Standards, Data Quality, Information Security Risk Management, Management Systems Implementation, Organizing, Performance Measurement, Tactical Planning, Team Management, Technical Credibility, Workflow Analysis