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Role reports to：
Senior Manager - D & A Leader KDP位置：
Asia Pacific, India, Karnataka, Bangalore工作地點：
混合你會做什麼
Kenvue is currently recruiting Manager, Data engineering to be in India. This role is within Kenvue Technology & Data organization.
At Kenvue, our purpose is clear. We believe that when people can count on care every day, it not only makes them well, it makes them whole—empowering them to engage more fully with the people, experiences and world around them. If you have the talent and desire to touch the world, Kenvue has the career opportunities to help make it happen.
In this role, the individual will spearhead technology and data initiatives aimed at enhancing business value and outcomes within the internal & external data domain across various functions like ERP, HR, Customer, R&D, Consumer etc. This individual will be responsible for proposing and implementing integration protocols, data acquisition and ingestion processes, business curation, and establishing a consistent Common Data Model. Additionally, they will enable teams to analyze large datasets effectively.
The individual will collaborate with various business units across different regions, as well as Data and Technology teams, to foster a unified approach to the development, adoption, and governance of data products. This role focuses on enabling business use cases based on the organization’s value proposition and impact, while shaping a coherent roadmap for the ongoing evolution of the Data Product.
Responsibilities:
Data Engineering Expertise: Senior‑level professional with strong hands‑on experience and advanced data engineering knowledge.
Hands-On Data Activities: Engage in hands-on activities related to data integration, data operations processes, and data engineering logic, contributing to the execution of prioritized Use Case Solutions in the multiple data domain.
AI‑Driven Data Engineering Skills: Requires solid understanding of AI‑driven data engineering, including ML pipelines and intelligent data processing.
Techno-Functional Expertise: Serve as a bridge between technical and functional teams, ensuring that data initiatives align with business objectives and technical requirements.
Data Product Governance: Collaborate with business data owners and regional partners to establish and maintain data governance frameworks, ensuring alignment with organizational goals.
Design & Build Data Capabilities: Identify and recommend methodologies and tools for building data capabilities that meet business needs, ensuring efficient scalability, flexibility, and performance.
Data as a Product Accountability: Ensure high data quality standards, including completeness, harmonization, standardization, documentation, accessibility, usability, interoperability, and scalability.
Key Design & Development Contributor: Actively participate in the design and development of the various Data Product, collaborating with cross-functional teams to evolve Data platform Future State.
Subject Matter Expert (SME): Provide expertise on Data Engineering within the Solution teams, overseeing data requirements assessment and ensuring data availability for various Use Cases.
Qualifications
Undergraduate degree in Technology, Computer Science, Statistics, Economics, applied data sciences or other related fields; advanced degree in related fields preferred.
10+ years in IT space specializing in Data & Technology Architecture, Data Engineering and Data Operations is required
Ability to interpret data & make data driven decisions, understand & propose data ingestion, storage, integration, and visualization logic for multiple function Data Domain .
Experience in various data integration pattern, data quality frameworks is preferred.
Deep knowledge of Data Governance, Master Data Management, Data Harmonization, Data Cataloging, Data Architecture, Data Quality principles and methodologies is required
Analytical and Critical thinking skills are required.
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. Strong business and financial competence.
Minimum of 5 years hands-on experience in Cloud Architecture (Azure, GCP, AWS) & cloud-based databases (Synapse, Databricks, Snowflake) and various data integration techniques (API, stream, file) using DBT, SQL/PySpark, Python is required
Knowledge of viz tools (Tableau,PowerBI,Excel) is preferred.
3+ years implementing data products through data mesh / fabric concepts is preferred
Experience working in Agile methodology; ability to define and implement prototypes and MVPs / RATs.
Thrives on a diverse company culture, celebrating the uniqueness of our employees and committed to inclusion. Proud to be an equal opportunity employer.
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