Philips
Chennai, Tamil Nadu, India Posted 5d ago
Philips is looking for an Integrated Warehouse Distribution Solution Lead to support the day-to-day analytics solutions portfolio including backlog preparation, stakeholder coordination, release readiness, solution health, and rationalisation. You will translate assigned operational problems into clear requirements, solution components, acceptance criteria, and measurable success criteria.
Key Responsibilities
Support the day-to-day IWD Analytics Solutions portfolio: backlog preparation, stakeholder coordination, release readiness, solution health and rationalisation.
Translate assigned operational problems into clear requirements, solution components, acceptance criteria and measurable success criteria.
Support technical discovery and solution design for data, integrations, analytics, AI and automation use cases with Business Process Owners and delivery teams.
Build hands-on prototypes and proofs of concept using approved data and platforms to validate user value, feasibility and control requirements.
Work with IT architects and data engineers on data pipelines, APIs, access controls, orchestration, testing and production readiness.
Contribute to solution documentation, architecture decisions, reusable IWD patterns and handover materials.
Manage stakeholders at senior leadership levels.
Requirements
Bachelor's Degree in Data Science, Business Analytics, Supply Chain, Information Systems, Operations Research, or equivalent.
6-10 years experience in supply chain domain preferably in solution architecture, design, analytics or data product delivery, Data engineering, automation, AI or digital process transformation.
Experience supporting analytics or digital solution delivery, including backlog work, requirements, testing, releases or adoption.
Working knowledge of Python, SQL, Databricks or a comparable cloud data platform, data modelling.
Working knowledge in one or more SC/IWD domain preferred: IWD, warehousing, transport, inventory, WMS or TMS experience.
Interest or early experience in AI, GenAI, optimisation, automation or data-product solutions and proof-of-concept delivery.
Sound analytical skills and ability to translate ambiguous operational problems into structured technical solutions.
