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 - IA & Agentic Strategy位置：
Asia Pacific, India, Karnataka, Bangalore工作地点：
混合你会做什么
Manager, Intelligent Automation & Agentic AI
Location: Bangalore
Reports to: Senior Manager – IA & Agentic Strategy
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 are the house of iconic brands—including NEUTROGENA®, AVEENO®, TYLENOL®, LISTERINE®, JOHNSON’S®, and BAND-AID®—trusted by millions around the world. Our global team of 22,000+ Kenvuers brings together expertise, empathy, and innovation to deliver meaningful impact every day. We put people first, earn trust with science, and solve with courage.
Role Overview
The Manager, Intelligent Automation & Agentic AI is a strategic technology and people leader responsible for delivering scalable AI and automation solutions that drive measurable business value across the Finance organization. This role blends product ownership, value realization, and business partnership with direct people leadership, resource planning, and operational management. The role is accountable for both outcomes and capability-building, ensuring intelligent automation becomes a sustainable, enterprise asset.
Key Responsibilities
AI & Product Ownership: Own and manage a portfolio of integrated AI and Automation products aligned to Finance and enterprise business partners. Translate business strategies into comprehensive AI and automation roadmaps, ensuring alignment with enterprise architecture standards, data & analytics strategy, security, and compliance requirements.
Business Partnership & Use Case Identification: Partner closely with Finance leaders, Global Process Owners, and regional stakeholders to identify automation opportunities across value streams. Assess and prioritize use cases based on impact to revenue, cost reduction, productivity, employee and customer experience, risk, and compliance.
End-to-End Delivery & Value Realization: Lead delivery across a full lifecycle including process discovery, feasibility analysis, solution design, development, testing, deployment, and hypercare. Define, track, and report KPIs and value realization metrics at least quarterly, partnering with Finance and T&D Experience teams to ensure accuracy, transparency, and realized benefits.
People, Resource & Vendor Management: Directly manage and develop a team of AI professionals, including performance management, coaching, and skills development. Plan for future capability and capacity needs, manage budgets, and oversee third-party vendors or managed service providers to ensure cost-effective and high-quality delivery.
Technology Enablement & Innovation: Drive adoption of intelligent automation, agentic AI and data science capabilities. This includes robotic process automation, process & task mining, AI Agents (Co Pilot Studio, Microsoft Foundry, other) and advanced analytics/data science models. Ensures that solutions are scalable, reusable, secure, and resilient while continuously identifying opportunities to modernize and optimize the automation ecosystem.
Operational Excellence & Governance: Establish and monitor service levels, delivery standards, and governance frameworks to ensure consistent execution and operational reliability. Prepare and present clear, executive-ready updates on progress, risks, dependencies, and outcomes, tailoring messaging to diverse audiences.
Community of Practice & Enterprise Alignment: Actively contribute to AI Community of Practice. Collaborate with Automation and Strategy leaders globally to align work to enterprise OKRs, promote reuse, and enable cross-regional synergies and integrated program management.
Required Qualifications
Education: Bachelor’s degree in Data Analytics, Computer Science, Engineering, Information Management, Business, or a related field is required; an advanced degree is preferred.
Experience: 10-12 years of experience in intelligent automation, AI, digital transformation, or technology product management roles, including demonstrated people management or team leadership experience. Experience leading Intelligent Automation, Data Science, and Agentic AI initiatives in Finance and Supply Chain domains is preferred.
Technical Expertise: Experience leading projects/programs that leverage RPA( UiPath, Automation Anywhere, Blue Prism), Python (Automation-as-Code), Microsoft Power Platform, MS Foundry and MS Copilot. Clear and demonstrated understanding on how to orchestrate the right combination of these capabilities to solve complex business challenges. Familiarity with process intelligence tools including process mining, task mining, and business process management is strongly preferred.
Leadership & Influence: Proven ability to lead both directly and through influence in complex, matrixed, global environments. Experience partnering with senior leaders and executive stakeholders to drive alignment and decision-making.
Business Acumen: Strong understanding of end-to-end business processes, particularly within Finance or shared services environments, with the ability to connect technology initiatives to tangible business outcomes.
Communication & Stakeholder Management: Excellent written and verbal communication skills, with the ability to translate complex technical concepts into clear, compelling narratives for non-technical audiences and senior leadership.
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
