Enterprise Data Operations Assoc Manager

Overview

As Data Modelling Assoc Manager, you will be the key technical expert overseeing data modeling and drive a strong vision for how data modelling can proactively create a positive impact on the business. You'll be empowered to create & lead a strong team of data modelers who create data models for deploying in Data Foundation layer and ingesting data from various source systems, rest data on the PepsiCo Data Lake, and enable exploration and access for analytics, visualization, machine learning, and product development efforts across the company.

As a member of the data modelling team, you will create data models for very large and complex data applications in public cloud environments directly impacting the design, architecture, and implementation of PepsiCo's flagship data products around topics like revenue management, supply chain, manufacturing, and logistics. You will independently be analyzing project data needs, identifying data storage and integration needs/issues, and driving opportunities for data model reuse, satisfying project requirements. Role will advocate Enterprise Architecture, Data Design, and D&A standards, and best practices. You will be a key technical expert performing all aspects of Data Modelling working closely with Data Governance, Data Engineering and Data Architects teams. You will provide technical guidance to junior members of the team as and when needed.

The primary responsibilities of this role are to work with data product owners, data management owners, and data engineering teams to create physical and logical data models with an extensible philosophy to support future, unknown use cases with minimal rework. You'll be working in a hybrid environment with in-house, on-premises data sources as well as cloud and remote systems. You will establish data design patterns that will drive flexible, scalable, and efficient data models to maximize value and reuse.

Responsibilities

• Independently complete conceptual, logical and physical data models for any supported platform, including SQL Data Warehouse, EMR, Spark, Data Bricks, Snowflake, Azure Synapse or other Cloud data warehousing technologies.
• Governs data design/modeling – documentation of metadata (business definitions of entities and attributes) and constructions database objects, for baseline and investment funded projects, as assigned.
• Provides and/or supports data analysis, requirements gathering, solution development, and design reviews for enhancements to, or new applications/reporting.
• Supports assigned project contractors (both on- & off-shore), orienting new contractors to standards, best practices, and tools.
• Advocates existing Enterprise Data Design standards; assists in establishing and documenting new standards.
• Contributes to project cost estimates, working with senior members of team to evaluate the size and complexity of the changes or new development.
• Ensure physical and logical data models are designed with an extensible philosophy to support future, unknown use cases with minimal rework.
• Develop a deep understanding of the business domain and enterprise technology inventory to craft a solution roadmap that achieves business objectives, maximizes reuse.
• Partner with IT, data engineering and other teams to ensure the enterprise data model incorporates key dimensions needed for proper management: business and financial policies, security, local-market regulatory rules, consumer privacy by design principles (PII management) and all linked across fundamental identity foundations.
• Drive collaborative reviews of design, code, data, security features implementation performed by data engineers to drive data product development.
• Assist with data planning, sourcing, collection, profiling, and transformation.
• Create Source-To-Target Mappings for ETL and BI developers.
• Show expertise for data at all levels: low-latency, relational, and unstructured data stores; analytical and data lakes; data streaming (consumption/production), data in-transit.
• Develop reusable data models based on cloud-centric, code-first approaches to data management and cleansing.
• Partner with the data science team to standardize their classification of unstructured data into standard structures for data discovery and action by business customers and stakeholders.
• Support data lineage and mapping of source system data to canonical data stores for research, analysis and productization.

Compensation and Benefits:

• The expected compensation range for this position is between $89,000 - $149,000.
• Location, confirmed job-related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the