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Senior Project Manager - Analytics

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Job Description

Job Title

Senior Project Manager - Analytics

Job Description

Role Overview

We are seeking an experienced Analytics Project Senior Manager to lead end-to-end delivery of data and analytics initiatives. This role requires a strong blend of project management, technical data expertise, and stakeholder management, with the ability to drive data strategy from design through implementation. You will act as a trusted advisor to business teams, particularly within Supply Chain, and ensure high-quality, scalable analytics solutions.

Key Responsibilities

  • Lead end-to-end project management for analytics and data initiatives, leveraging prior hands-on data development experience

  • Engage with senior stakeholders, providing regular updates, resolving issues, and ensuring alignment on priorities

  • Evaluate existing reporting environments and define data requirements to meet business needs

  • Drive data strategy and architecture, from solution design through execution

  • Lead technical delivery of data projects, ensuring quality, scalability, and timeliness

  • Design and document technical solutions for complex data and analytics requirements

  • Troubleshoot and resolve production issues, and support end users with reporting queries

  • Establish and promote best practices in instrumentation, experimentation, and analytics delivery

  • Apply a global and enterprise-wide perspective to analytics solutions

  • Design and implement database structures, models, and architectures

  • Oversee data migration from legacy systems to modern platforms

  • Monitor system performance, conduct testing, and drive continuous improvements

  • Provide training and support to internal teams on data systems and tools

  • Leverage data for exploratory, descriptive, inferential, and advanced analytics use cases

Technical Skills & Experience

  • Proven experience in consulting or delivery leadership, including opportunity shaping, solution design, and execution

  • PMP or equivalent project management certification (mandatory)

  • Strong understanding of:

    • Data Warehousing & Big Data Technologies

    • Data Engineering & Data Science

    • Complex Event Processing & Real-time Analytics

    • Data Visualization tools and frameworks

  • Experience in designing end-to-end data architectures for complex systems

  • Hands-on experience with:

    • Data ingestion, acquisition, and data pipeline development

    • Data storage, processing, and data asset management

  • Knowledge of machine learning algorithms and analytics tools

  • Proficiency in at least one of: Python, R, MATLAB, or SAS

  • Strong experience with SQL and relational databases

  • Exposure to cloud-based data platforms and architectures

Soft Skills

  • Strong communication and executive presentation skills

  • Highly driven, adaptable, and able to thrive in fast-paced environments

  • Strong problem-solving mindset with ability to ideate and drive solutions

  • Excellent time management and multitasking abilities

  • Clear, structured thinking with strong attention to detail

Experience

  • 8-11 years of progressive experience in analytics, data engineering, or related domains

  • Proven experience in high-impact, fast-changing environments

  • Prior experience working with cross-functional and global teams preferred

Education

  • Master's or Bachelor's degree (B.Tech or equivalent) in a quantitative discipline (e.g., Engineering, Mathematics, Statistics, Computer Science)

  • Strong foundation in data structures, databases, and cloud technologies

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 role is an office role.
About Philips
We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
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If you're interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care .

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Job ID: 147166937

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Bengaluru, India

Skills:

data engineering complex event processing Machine Learning AlgorithmsSASMATLABSqlData ScienceBig Data TechnologiesData WarehousingPythonData storage processing and data asset managementReal-time AnalyticsCloud-based data platforms and architecturesData ingestion acquisition and data pipeline developmentRRelational DatabasesData Visualization tools and frameworksAnalytics tools