Kenvue 目前正在招聘 a：
我们做什么
在 Kenvue，我们意识到日常护理的非凡力量。我们以一个多世纪的传统为基础，植根于科学，是标志性品牌的品牌 - 包括您已经熟悉和喜爱的 NEUTRGENA®、AVEENO、TYLENOL®®、LISTERINE®、JOHNSON'S® 和 BAND-AID®。科学是我们的热情所在;关心就是我们的才能。
我们是谁
我们的全球团队由 ~ 22,000 名才华横溢的员工组成，他们的职场文化中，每个声音都很重要，每一个贡献都受到赞赏。 我们热衷于洞察， 创新并致力于为我们的客户提供最好的产品。凭借专业知识和同理心，成为 Kenvuer 意味着每天有能力影响数百万人。我们以人为本，热切关怀，以科学赢得信任，以勇气解决——有绝佳的机会等着您！加入我们，塑造我们和您的未来。有关更多信息，请单击 here.
Role reports to：
Sr. Manager, Digital Solutions & Business Operations位置：
Asia Pacific, India, Karnataka, Bangalore工作地点：
混合你会做什么
This position is based at Bangalore, Kenvue Global Capability Center, reports to Sr. Manager, Digital Solutions & Business Operations and is based at GCC, Bangalore, India
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® Brand Adhesive Bandages that you already know and love. Science is our passion; care is our talent. Our global team is made up of ~ 22,000 diverse and brilliant people, passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact the 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.
What You Will Do
The Manager – Data Engineering
Will do End‑to‑end delivery, readiness, and operational stability of enterprise data engineering platforms, with a strong focus on Command Centre / Control Tower enablement.
The role is accountable for backend data preparation, enterprise data models and hierarchies, knowledge graph implementation, data migration, compliance, and 24×5 operations, operating in Azure‑based, GxP and SOX‑regulated environments.
This role partners closely with Data Product teams, Architecture, and Business stakeholders to ensure trusted, consumption‑ready data that powers decision intelligence across Operations and Supply Chain
Core Accountabilities
Command Center Data Enablement
- Own Command Center or equivalent platform data engineering, including backend data preparation, semantic layers, aggregates, and real‑time pipelines.
- Ensure persona‑based, role‑based, and hierarchy‑aware data views for dashboards, workflows, and decisioning.
- Enable data readiness for decision intelligence, alerts, and exception management.
Enterprise Data Models, Hierarchies & Knowledge Graphs
- Validate and re-use enterprise logical, physical, and analytical data models.
- Ensure correct implementation of business hierarchies (product, geography, customer, supply chain, time).
- Lead Graph and Knowledge Graph implementations to model relationships, dependencies, and impact paths across the enterprise.
- Ensure graph models integrate seamlessly with Databricks, lakehouse platforms, and analytical datasets.
Data Readiness & Product Collaboration
- Partner with Data Product teams to define and execute data readiness plans aligned to product roadmaps.
- Ensure data meets quality, completeness, timeliness, and usability standards before consumption.
- Act as the execution bridge between platform engineering and data product ownership.
Data Engineering Delivery & Architecture
- Lead delivery of batch, streaming, IoT, and real‑time data pipelines using Databricks, SQL, and Azure services.
- Ensure alignment with enterprise data architecture and lakehouse standards.
- Own large‑scale data migration and modernization programs.
Compliance, Security & Governance
- Ensure GxP and SOX‑compliant data engineering, including auditability, lineage, traceability, and change controls.
- Partner with Security, Quality, and Compliance teams to maintain regulatory readiness.
- 24×5 Platform Operations
- Own 24×5 data engineering support operations, including L2/L3 support, on‑call models, and escalation paths.
- Ensure SLA adherence, incident management, root‑cause analysis, and platform stability.
- Drive reduction of recurring issues through automation and design improvements.
People & Stakeholder Leadership
- Lead and develop data engineering teams, including delivery and support resources.
- Set clear expectations for delivery quality, data readiness, hierarchy accuracy, and operational stability.
- Act as the primary interface for product, architecture, and business stakeholders.
Must‑Have Experience- 9 to 12 YRS
- Strong expertise in Databricks, SQL, Azure cloud ecosystem, and IoT data ingestion.
- Proven ownership of Command Center / Control Tower data engineering.
- Demonstrated accountability for enterprise data models, hierarchies, and knowledge graphs.
- Experience managing data migration programs and regulated (GxP / SOX) data platforms.
- Ownership of 24×5 data engineering operations and people management.
如果您是残障人士，请查看我们的 残障人士援助页面了解如何申请便利
