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Manager, Data Engineering

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ID:
2607045166W

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Manager, Data Engineering

Wat we doen

Bij Kenvue realiseren we de buitengewone kracht van dagelijkse verzorging. Gebouwd op meer dan een eeuw erfgoed en geworteld in de wetenschap, zijn we het huis van iconische merken - waaronder NEUTROGENA®, AVEENO®, TYLENOL®, LISTERINE®, JOHNSON'S® en BAND-AID® die je al kent en waar je van houdt. Wetenschap is onze passie; Zorg is ons talent.

Wie we zijn

Ons wereldwijde team bestaat uit ~ 22.000 briljante mensen met een werkcultuur waar elke stem telt en elke bijdrage wordt gewaardeerd. We zijn gepassioneerd door inzichten, innovatie en toegewijd aan het leveren van de beste producten aan onze klanten. Met expertise en empathie betekent een Kenvuer zijn dat je elke dag de kracht hebt om miljoenen mensen te beïnvloeden. We stellen mensen op de eerste plaats, geven er veel om, verdienen vertrouwen met de wetenschap en lossen op met moed - en hebben schitterende kansen voor je klaarliggen! Geef samen met ons vorm aan onze toekomst - en die van jou. Klik voor meer informatie op here.

Rol rapporteert aan:

Director, Data Products

Locatie:

Asia Pacific, India, Karnataka, Bangalore

Werklocatie:

Hybride

Wat je gaat doen

Who we are

At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we’re the house of iconic brands - including NEUTROGENA®, AVEENO®, TYLENOL®, LISTERINE®, JOHNSON’S® and BAND-AID® that you already know and love. Science is our passion; care is our talent. Our global team is made by 22,000 diverse and brilliant people, passionate about insights, innovation and committed to deliver the best products to our customers. With expertise and empathy, being a Kenvuer means to have the power to impact life of millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage – and have brilliant opportunities waiting for you! Join us in shaping our future–and yours. For more information, click here.

               

Location: Bangalore

Job Overview

You will take a central role in defining and executing data engineering strategy, actively shaping the vision and roadmap for data-driven initiatives across the organization. You will lead a small, high-performing team, providing mentorship and direction to ensure successful project outcomes and alignment with business priorities. By instilling a culture of excellence in documentation, best practices, and workflow efficiency, you will drive continuous improvement and ensure the team remains at the forefront of emerging technologies. Your leadership will be instrumental in upholding and advancing the highest standards for data quality, reliability, and governance on a global scale.

Key Responsibilities

  • Lead and manage a high-performing team of data engineers across multiple projects and geographies

  • Manage vendor relationships, and strategic partnerships related to data infrastructure.

  • Mentor senior engineers and technical leads, fostering a culture of innovation and continuous improvement

  • Demonstrated strength in examining issues, driving resolution & influencing effectively across the organization. Ability to challenge the status quo in technology & architecture.

Qualifications

Education: Master’s degree in business, Computer Science, Engineering, or a related field

Experience:

  • Typically requires a minimum of 12 years of related experiences with a bachelor’s degree in computer or software engineering; or 9 years and a master’s degree in computer or software Engineering;

  • 3+ years leading data engineering teams in Consumer/Healthcare Goods companies and excellent understanding of business domains within the industry

  • Minimum of 3 years hands-on experience in Cloud Architecture (Azure, GCP, AWS) & cloud-based databases (Synapse, Databricks, Snowflake, Redshift) and various data integration techniques (API, stream, file) using DBT, SQL/PySpark, Python.

  • Ability to define data pipelines to address data challenges: different granularity, data gaps, sophisticated matching logic, multi-language, structured & unstructured; harmonization & normalization of data.

  • Proven track record leading multiple high-profile projects with demanding deadlines, changing requirements, and working with defined resources. Ability to estimate required effort and prioritize work items appropriately.

  • Thrives on a diverse company culture, celebrating the uniqueness of our employees and committed to inclusion. Proud to be an equal opportunity employer.

  • Risk Management: Identify potential risks and challenges related to data and AI products and develop mitigation plans

  • Superb interpersonal & communication skills (oral and written), including the ability to explain digital concepts and technologies to business leaders, as well as business concepts to technologists.

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