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Foods people love. Brands people trust. And a career that nourishes your future like no other. If you're driven by the passion to do something meaningful that changes lives, Nestle is the place for you. Nestle USA is one of seven operating companies that make up Nestle's presence in the United States. We're in 97% of American homes, and as the leading food and beverage company, our goals are to continue to deliver quality food and beverage products, strengthen our local communities, and reduce our environmental and climate impact. We're determined to challenge the status quo and be better tomorrow than we are today. As individuals and teams, we embrace our entrepreneurial culture and have created a workplace where collaboration is essential, courage is rewarded, speed is expected, and agility is the norm to delight our consumers every single day. Here, you will find limitless opportunities to learn and advance your career and feel empowered to succeed in the workplace and beyond. Because our focus is not only on nourishing our customers, but also about enriching you. This position is not eligible for Visa Sponsorship. Digital Acceleration - The Organization You Will Be Part Of We have established a central Enterprise Analytics team to drive a culture of data and analytics driven business decision-making, from the executive boardroom to the store shelf. To fulfil this vision, we are building advanced data, analytical and automation capabilities while also delivering improved cross-functional insights to help the enterprise make faster and better decisions to ultimately win in the marketplace. Position Summary - Your Impact You will apply a deep understanding of the data architecture and engineering practices for enabling datasets for consumption in a data lake environment. You will also be responsible for working with the relevant data product teams and IT partner teams to address the data architecture and infrastructure needs while ensuring excellence in data operations, as well as to research, assess and deploy new data architecture and data modeling capabilities. Primary Responsibilities - What You'll Do
- Lead development of the NUSA data architecture strategy including analytic data platform architecture and data engineering. Collaborate with regional and global IT to understand and integrate with regional/global architecture strategy.
- Deep technical mastery in cloud data platforms (Snowflake, Azure, AWS) and expertise across the data enablement technologies - for example SQL-DBM for modeling, Azure Data Lake, SQL, Synapse Serverless, Azure Analysis Services, Azure ML Ops, Azure Data Factory, Databricks. Knowledge of AI capabilities (vector DB, grahp DB) and data governance capabilieis (Data Observability, Purview, Data Quality tools, etc). Experience integrating data into business intelligence environments and data science environments.
- Lead the NUSA Data Architecture organization in partnership with data management leadership. Establish organization performance goals and metrics (quality of model design) and manage a team of data architectures responsible for working with the functions to understand business requirements and develop the right data design. Grow the organization by developing and implementing strong technical competency development programs.
- Collaborate with Data Management leadership and Data Product Managers to ensure they follow data architecture and modeling standards. Partner with Data Governance program and IT to ensure data assets are properly architected by design and in compliance with Data Governance and Stewardship requirements. Perform data architecture and data modeling design reviews in partnership with IT to ensure the models are scalable and secure.
- Partnership with operating company regional and with global IT architecture and technology capabilities and innovation.
- Maintain a repository of all data architecture standards, procedures and artifacts. Create, publish, and maintain the master version of data models in system of record. Auditing data assets regularly to maintain integrity of data models quality.
- Develop and lead multi-cloud platform strategy and execution leveraging Azure, Snowflake, Databricks, etc.
- Define and maintain technology capability roadmap for data architecture technical capabilities, processes, and competencies for enabling Data Fabric solutions.
Your Team - Who You'll Work With
- Lead the EA Data Architecture organization which consists 8-10 Nestle data architects and manage vendors who provide data architect services.
- Collaborate with Enterprise Analytics Data Management team and Data Governance teams, Global IT and NUSA IT teams, and Business teams to drive NUSA's vision of data driven decision making.
SKILLS & COMPETENCIES
- Experience with data architecture, data modeling, data lineage capabilities, processes and tools for building and enabling data assets for consumption through the Data Fabric.
- Strong knowledge and experience designing and architecting data engineering pipelines in a cloud environment, relational database management systems, data virtualization, data migration, data mining and data modeling solutions.
- Expertise building modern AI data flows and data architecture to support GenAI and AI data requirements.
- Knowledge of and experience with any ERP tools and systems e.g. SAP, APO, and reporting tools e.g. Azure, BW, etc.
- Agile methodologies, DevOps, and enterprise resource planning implementation.
- Negotiation skills to align on the optimal architecture and design.
- Excellent written and verbal communication skills.
- Solid organizational skills including attention to detail and multitasking skills.
- Self-motivated.
QUALIFICATIONS & REQUIREMENTS
- Undergraduate Degree in Computer Science, Engineering, Mathematics, Statistics, Business or a similar field or equivalent experience.
- 6 years of experience with data engineering, data architecture in data lake and cloud environments like Azure, GCP, AWS, preferably in consumer products.
- 5 years of experience managing data architecture or data management teams.
- Robust Project Management and Program Management experience.
- Experience with ERPs master data, particularly with SAP.
- Experience with Data Management frameworks and maturity models; ideally in DCAM (Data Management Capability Assessment Model).
- Strategic planning, protocol and governance experience preferred.
- CPG industry experience preferred.
Requisition ID:325638 #Li-Hybrid It is our business imperative to remain a very inclusive workplace.
To our veterans and separated service members, you're at the forefront of our minds as we recruit top talent to join Nestle. The skills you've gained while serving our country, such as flexibility, agility, and leadership, are much like the skills that will make you successful in this role. In addition, with our commitment to an inclusive work environment, we recognize the exceptional engagement and innovation displayed by individuals with disabilities. Nestle seeks such skilled and qualified individuals to share our mission where you'll join a cohort of others who have chosen to call Nestle home. The Nestle Companies are an equal employment opportunity and affirmative action employer seeking diversity in qualified applicants for employment. All applicants will receive consideration for employment without regard to race, ethnicity, color, gender, gender identity, age, religion, national origin, ancestry, disability, perceived disability, medical condition, genetic information, veteran status, sexual orientation, or any other protected status, as defined by applicable law. Prior to the next step in the recruiting process, we welcome you to inform us confidentially if you may require any special accommodations in order to participate fully in our recruitment experience. Contact us at accommodations@nestle.com or please dial 711 and provide this number to the operator: 1-800-321-6467.
This position is not eligible for Visa Sponsorship. Review our applicant privacy notice before applying at https://www.nestlejobs.com/privacy
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Nestle
Dec 03, 2024