Manager, Enterprise Finance Data & Analytics Products

Manager, Enterprise Finance Data & Analytics Products

O que fazemos

At Kenvue, percebemos o extraordinário poder do cuidado diário. Construída com base em mais de um século de herança e enraizada na ciência, somos a casa de marcas icônicas - incluindo NEUTROGENA®, AVEENO®, TYLENOL,® LISTERINE,® JOHNSON'S® e BAND-AID® que você já conhece e ama. A ciência é a nossa paixão; O cuidado é o nosso talento.

Quem somos

Nossa equipe global é de ~ 22.000 pessoas brilhantes com uma cultura no local de trabalho onde cada voz é importante e cada contribuição é apreciada. Somos apaixonados por insights, inovação e comprometidos em entregar os melhores produtos aos nossos clientes. Com experiência e empatia, ser um Kenvuer significa ter o poder de impactar milhões de pessoas todos os dias. Colocamos as pessoas em primeiro lugar, nos importamos ferozmente, ganhamos confiança com a ciência e resolvemos com coragem - e temos oportunidades brilhantes esperando por você! Junte-se a nós para moldar nosso futuro - e o seu. Para obter mais informações, clique em aqui.

Role reporta para:

Sr. Director, Enterprise Data Products

Localização:

Asia Pacific, India, Karnataka, Bangalore

Local de trabalho:

Totalmente no local

O que você fará

This position reports into Senior Manager, Enterprise Data & Analytics Products and is based at Bangalore, India or Hybrid.

 

What we do

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.

 

Who we are

Our global team is ~ 22,000 brilliant people with a workplace culture where every voice matters, and every contribution is appreciated. We are 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 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.

               

Role reports to: Senior Manager, Enterprise Data & Analytics Products

Location: Bangalore, India or Hybrid

Travel %:10

Pay:   (If compliant with country laws)

 

What you will do

The Manager, Enterprise Finance Data & Analytics Products is responsible for ensuring the continuous improvement and maintenance of information management systems, managing project design and delivery, and driving technology initiatives that enhance efficiency and reduce costs. You will monitor performance metrics, collaborate with vendors, and provide regular updates to leadership and business partners:

Key Responsibilities

·       Lead and develop your team: Build and evolve a team of data engineers and technical operations specialists responsible for developing data & analytics solutions for the Kenvue enterprise.

·       Execute strategic development roadmaps: Oversee the delivery of scalable, reliable build outcomes that fulfill business needs across team stakeholders and enable business value.

·       Partner with Finance Stakeholders: Collaborate closely with Finance function stakeholders on month-end close processes, data validation, and incident investigation. Manage your team's support for financial audits, ensuring timely and accurate delivery of analysis.

·       Drive operational efficiencies: Coordinate cross-functional projects to identify and implement operational improvements that support stakeholders' ability to run more efficiently and effectively. Champion process improvement initiatives that quality, agility and reliability of operational systems.

·       Cross-Functional Collaboration: Foster collaboration between data scientists, engineers, business leaders, suppliers, and vendors to co-create impactful analytics products and assess software, hardware, and services that align with enterprise data and analytics business objectives.

·       Foster knowledge sharing and growth: Facilitate internal knowledge sharing sessions to strengthen team capabilities. Create a culture of continuous learning and technical excellence within your team.

·       Scale operations globally: Ensure seamless collaboration between various geographical location-based team members. Build processes and systems that scale with Kenvue's growth while maintaining operational excellence.

·       Mentoring & Team Leadership: Mentor and cultivate a high-performing team, encouraging creative problem-solving and professional growth within the analytics domain.

·       Portfolio Planning & Management: Contribute actively to business planning and strategy development related to data and analytics data product management.

 

What we are looking for

Required Qualifications

·       Bachelor’s degree or equivalent in Computer Science, Data Science, Information Technology, Business Analytics, or a related field.

·      9 to 12 years of progressive experience managing enterprise data, analytics product lifecycles preferably leveraging one or more of Azure, Databricks, Snowflake or any other enterprise analytics platform within a complex enterprise environment.

·       Proven expertise in managing end-to-end delivery of data analytics products leveraging cloud platforms.

·       Strong knowledge of information management systems, network operations, and telecommunications.

·       Excellent leadership, communication, and stakeholder management skills to effectively collaborate across business and technical teams.

 

Desired Qualifications

·       Exceptional ability to blend technical expertise with strategic vision to create analytics products that transform business outcomes.

·       Strong leadership skills with experience guiding multidisciplinary teams through complex data challenges and product development cycles.

·       Proficiency in modern data architectures, analytics platforms, and emerging technologies such as AI/ML to drive product innovation.

·       Understanding of implementing MLOPs framework and understanding of data security implementations across Data Products or AI/ML models.

·       Good working knowledge of Agile principles and processes is preferred

·       Excellent team and stakeholder communication capability and escalation management skills

·       Demonstrated excellence in stakeholder engagement, with the ability to communicate complex data concepts to non-technical audiences.

·       Capability to manage multiple projects simultaneously while ensuring alignment with organizational goals and compliance with established policies.

·       Demonstrated ability to analyze IT performance metrics and implement continuous improvement initiatives.

·       Experience in vendor management, including evaluation, negotiation, and procurement of technology products and services.

·       A passion for continuous learning and staying ahead of industry trends to maintain a competitive edge in enterprise analytics solutions.

 

What’s in it for you

·       Competitive Total Rewards Package*        

·       Paid Company Holidays, Paid Vacation, Volunteer Time & More!        

·       Learning & Development Opportunities        

·       Kenvuer Impact Networks        

·       This list could vary based on location/region

       

*Note: Total Rewards at Kenvue include salary, bonus (if applicable) and benefits. Your Talent Access Partner will be able to share more about our total rewards offerings and the specific salary range for the relevant location(s) during the recruitment & hiring process.

       

Kenvue is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment based on merit without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

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