At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, were the house of iconic brands - including NEUTROGENA, AVEENO, TYLENOL, LISTERINE , JOHNSONS and BAND-AID 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 lives 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 futureand yours.

What You Will Do :

The Data Modeler is responsible to work closely with the Product Management group, internal stakeholders and the Engineering group :

- Data Modelling : Creating data architectures and logical/physical data models for databases and data warehouses

- Forge trusted partnerships and be an integral part of Data Engineering, Data Architecture & Platforms and Data Science teams to adopt, scale and build data products

- Data Warehouse Development & Administration : Designing, developing, implementing a data warehouse to integrate data from various sources/systems within an organization

- Developing strategies for data acquisition, archive recovery, and database implementation

- Work closely with the Business Analytics leaders to understand needs of the business; clearly articulating the story of value created through data & technology

- Drive prioritization and implementation of most appropriate combination of data engineering methodologies & frameworks to ensure optimal scalability, flexibility and performance of platforms, products & solutions

- Be an expert and a thought leader of how data and technology come together to empower the business

- Conducting requirements gathering and analysis to understand the domain of the software problem and/or functionality, the interfaces between hardware and software, and the overall software characteristics

Key Responsibilities :

- Perform enterprise level and project level data modelling, including model management, consolidation and integration

- Understand business requirements and translate to Conceptual (CDM), Logical (LDM) and Physical (PDM) data model by using industry standards

- Managing Data Model for multiple projects and make sure data model in all projects are synchronized and adhering to Enterprise Architecture with proper change management

- Establish and manage existing standards for naming and abbreviation conventions, data definitions, ownership, documentation, procedures, and techniques

- Adopt, support, and participate in the implementation of the Enterprise Data Management Strategy

- Experience in Medallion (Lakehouse) Architecture.

- Ensure reusability of model and approach in across different business requirements

- Support data specific system integration and support data migration

What We Are Looking For :

Required Qualifications :

- Typically requires a minimum of 12 years of related experiences with a bachelor's degree in computer or software engineering; or 10 years and a master's degree in computer or software engineering

- Demonstrated strength in examining issues, driving resolution, and influencing effectively across the organization.

- Ability to challenge the status quo in technology & architecture.

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

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

- 5 - 8 years of progressive experience with Data Modeling

- 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.

- Should have experience in ER Studio/Erwin data Modeler, Power BI/ Tableau or MicroStrategy or equivalent tool.

- Should be strong in Data warehousing concepts

- Should have strong database development skills like complex SQL queries, complex store procedures

Desired Qualifications :

- Conversant with Data & Analytics product management, Azure, SQL, Data Catalog

- Experience with unstructured data processing and real-time data pipelines

- Preferably from Retail or CPG industry

What's In It for You :

- Competitive Benefit Package

- Paid Company Holidays, Paid Vacation, Volunteer Time, Summer Fridays & More!

- Learning & Development Opportunities

- Employee Resource Groups

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

The job is for:

Women candidates preferred