Responsibilities

- Own the planning decision intelligence transformation roadmap and backlog aligned to E2E Planning, SOE, SOP and IBP priorities.
- Lead programmatically from POC / POV to at scale deployment for prioritized decision intelligence initiatives.
- Ensure uplift in planning influenced KPIs including forecast accuracy and bias, service risk, inventory health, capacity utilization, EO avoidance, constrained plan adherence and production plan attainment through POV and scaled decision intelligence initiatives. Track and report on adoption and outcome KPIs
- Translate planning requirements into scalable data products, predictive models, scenario simulation, optimization models and decision workflows for SOE and IBP
- Extends scope to logistics requirements as needed to shape more end to end decision intelligence requiring collaboration between planning and logistics
- Define agentic AI use cases, guardrails, approval thresholds and escalation logic for planning agents operating across demand, supply, inventory and capacity decisions.
- Enable exception-based workflows for demand changes, supply constraints, inventory risks, capacity bottlenecks, allocation decisions and financial plan gaps.
- Drive adoption and business impact through a planning decision intelligence workbench (i.e. planning control tower), automated executive decision packs, agent-assisted workflows and embedded analytics in planning routines.

Domain Deliverables

- End-to-end planning and execution intelligence layer that cuts across demand, supply, inventory, capacity, production and distribution signals, from near-term SOE to tactical and strategic IBP cycles. Extends to logistics decision intelligence as required, for example influencing transportation decisions.




- Enable agentic planning workflows in SOE and SOP/ IBP forums. e.g. service and inventory excess risk detection, exception based prioritization, demand shaping insights, probabilistic risk assessment of supply plans, automation in SOP executive decks
- Agentic AI planners that can monitor live planning signals, reason across multiple data sources, propose corrective actions and trigger bounded workflows such as replenishment review, allocation, demand adjustment or escalation routing.
- Conversational planning assistants that explain forecast changes, supply gaps, inventory risks and scenario outcomes in business language for planners and executives.

Technical Skill Requirements (Market-Facing)

- Data product management for decision intelligence capability: lifecycle ownership, access controls, interoperability, semantic model governance and adoption.
- Planning systems fluency across Kinaxis and ERP, planning workbenches and analytics/control tower platforms.
- Analytics and optimization literacy in demand planning, supply planning, inventory planning, capacity planning, scenario simulation and decision support.
- Agentic AI literacy, including agent workflow design, prompt and task decomposition, tool orchestration, business guardrails, human-in-the-loop controls, auditability and responsible AI considerations.

Required Qualifications Experience





- Proven product management experience in data, analytics, AI or digital products.
- Experience delivering analytics, AI or planning technology solutions in demand planning, supply planning, inventory planning, SOE, SOP or IBP environments
- Exposure to generative AI, agentic AI, decision automation or intelligent workflow solutions, preferably in supply chain planning or operations contexts.
- Robust understanding of service, cost, cash, inventory, capacity, revenue and margin trade-offs in complex global supply chains.
- Experience operating in global or multi-regional planning environments with cross-functional governance and executive decision forums.

Skills Proficiency Targets

- Market/Customer insights - Working
- Product Vision Road mapping - Working
- Value / KPI Ownership - Working
- Stakeholder Alignment - Working
- E2E Planning, SOE and IBP Analytics Literacy - Working
- Agentic AI Product Thinking - Working
- Data Product Governance - Working
- Adoption Change Enablement - Working

Databricks Academy/Learning Paths

- Lakehouse Fundamentals (Product Literacy)
- Data Product Thinking on Lakehouse
- Unity Catalog for PMs
- Machine Learning, Generative AI, Agentic AI for Decision Intelligence

Recommended Certifications

- CSPO
- Pragmatic PMC
- Databricks Lakehouse Fundamentals
- APICS / ASCM CPIM or CSCP; ASCM Supply Chain Planning Certificate preferred
- OKR Practitioner
- AI certification

Primary Work Location: Bengaluru

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data/AI Manager- Decision Intelligence (Bengaluru)
🏢 Becton Dickinson
📍 Bengaluru