Integrated Warehouse Distribution (IWD) Solution Lead
Philips · Chennai · onsite · Posted 5d ago
Undisclosed6–10 yrsfulltimeSourced from
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About this role
Job Summary
Responsibilities
What Success Looks Like
Youre the right fit if you have
How we work together
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.
Job Title Integrated Warehouse Distribution (IWD) Solution Lead
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.
What Success Looks Like
- The IWD portfolio has current backlog information, clear delivery status and well-managed stakeholder communication.
- Assigned solution components are well designed, documented, tested and delivered on time.
- Proofs of concept demonstrate a clear value case, feasibility and a credible route to production.
- Day-to-day technical delivery progresses smoothly with risk and dependencies surfaced early and escalated to the right owner.
- Production solutions have agreed KPIs, adoption support, controls and handover documentation.
- MVP releases and hypercare are supported effectively.
- Reusable IWD patterns for data, integrations and AI evaluation improve consistency and reduce rework.
- The architect steadily develops technical depth, supply-chain understanding and autonomy within defined scope
Youre the right fit if you have
- Bachelors 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
- Ability to collaboratively manage stakeholders across business, IT and IWD partners in a fast-moving environment
- Strong communication skills, curiosity and willingness to learn through hands-on projects
How we work together
We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company s facilities. Field roles are most effectively done outside of the company s main facilities, generally at the customers or suppliers locations. This is an office based role.
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.
Sourced from naukri
Skills
Automationanalytical thinkingAI evaluationbusiness processapisintegrationsAnalyticsCloud DataDatabricksData EngineeringBusiness AnalyticscloudCommunication SkillsArchitectureoperationsData PipelineData ScienceArtificial Intelligence
About Philips
Philips
Medical Equipment
5.8k+
employees
1930
96 years old
Amsterdam
Netherlands
About
Philips specializes in health technologies, addressing healthcare challenges through innovative solutions in diagnostics, treatment, and patient monitoring.
Industries
Medical EquipmentConsumer goodsElectronics
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