Senior Data Steward Manager
- Level
- Lead
- Work type
- Hybrid · Plano
Not stated in the posting: salary, visa.
Open. First seen 2 October 2026.
About the role
Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
We are looking for a Senior Data Steward Manager to join our team. In this role, you will be responsible for overseeing the management and governance of data assets within the organization. You will work closely with cross-functional teams to ensure data quality, compliance, and privacy.
Requirements
- Preference will be given to candidates located in the Plano, TX or Purchase, NY area and are able to be in office on a hybrid schedule
- Support the global Integrated Business Planning (IBP) program to identify and validate data sources to fulfill IBP requirements.
- Identify data sources and partner with business and tech teams to address gaps; check that joining of different data sources generates a meaningful final dataset for a particular use case.
- Perform trend and/or pattern analysis
- Support source to target mapping (STTM)
- Conduct business-facing, data quality rule definition and capture
- Complete data cataloging for assigned assets while adhering to global governance standards
- Monitor data quality scorecards/reports and engage data owners to address exceptions
- Responsible for the promotion of data accuracy and adherence to PepsiCo defined data management and governance practices, as well as driving acceptance of PepsiCo's enterprise data standards and policies across the various business segments and areas that utilize (formally and informally) enterprise data and information.
- Take an interest to learn and quickly demonstrate domain and/or business functional knowledge to enable validation of data requirements
- Maintain and advise relevant stakeholders as appropriate on data governance related matters.
- Coordinate across the organization (with fellow Enterprise Data Stewards and the EDG leader; strategic initiatives, Digital Use Cases and the federated data network) to maintain consistency of PepsiCo's critical enterprise, digital, operational and analytical data.
- Ensure data-centric activities are aligned with the enterprise data governance program and leverage applicable data standards, governance processes, and overall best practices.
- Capture and build (business logic) of aggregation and disaggregation logic of master data & joins of transactional data
Qualifications / Requirements:
- 6+ years of experience working in Data Governance or Data Management experience within a global CPG (Consumer Packaged Good) company or similar industry, general understanding of data governance concepts and processes
- Strong data management background who understands data, how to ingest data, proper data use/consumption, data quality, and stewardship.
- Ability to partner with both business and technical subject matter experts to ensure standardization of operational information and execution of enterprise-wide data governance policies and procedures are defined and implemented.
- Experience with SAP Forecast to Schedule (FTS) module that will allow for intelligent questioning of business and technical stakeholders to attain data source and data flow details
- Strong communication skills and Excel proficiency, including experience profiling with Excel
- Experience researching, validating, profiling and cataloging datasets
- Informatica (EDC, Axon, IDQ, Reference 360) experience preferred
- Experience with O9 Solutions IBP module is a plus
Competencies:
- Highly motivated with ability to prioritize and handle multiple assignments in a fast-paced environment
- Strong knowledge and understanding of master data elements and processes
- Ability to own sub-tasks of a project with little supervision.
- Demonstrated proficiency in using Excel to source, analyze, normalize and process data to define requirements for ongoing processing and management of the data including quality validations.
- Strong data management background with understanding of how to ingest data, proper data use/consumption, data quality, and stewardship
- Knowledge of IBP data and processes that allow the candidate to make decisions about appropriate data sources, data glossary term definitions and the creation of data quality rules.
- Ability to translate business requirements into critical data dependencies and requirements
- Ability to think beyond their current state (processes, roles and tools) and work towards an unconstrained, optimized design
- Analytical mindset with strong communication skills; able to influence others at all organization levels
- Ability to think beyond their current state (processes, roles and tools) and work towards an unconstrained, optimized design
- Self-starter who welcomes responsibility, along with the ability to thrive in an evolving organization and an ability to bring structure to unstructured situations
- Ability to arbitrate on difficult decisions and drive consensus through a diplomatic approach
- Matrix management skills and business acumen
- Excellent written & verbal communication skills
Benefits
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
What this role asks for
Particular to this role
Excel · SAP
Rare in Tiger Analytics Inc.'s other 101 open postings.
In most of Tiger Analytics Inc.'s ads
Machine Learning
Named in most of its open postings, whatever the role.
Read against Tiger Analytics Inc.'s other open postings on this site.
The team: Data Engineering HIRES STEADILY
This role is one of 41 open in Data Engineering. 5 were posted in the last 30 days and the oldest in May: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Machine Learning (25 of 41), SQL (23 of 41), ETL (20 of 41), Python (20 of 41), AWS (18 of 41), Databricks (17 of 41), Spark (16 of 41)
OTHER ROLES ON THIS TEAM
- Senior Data Engineer posted Oct 14
- Senior Data Engineer posted Oct 9
- Senior Solution Architect posted Oct 5
- Lead Power BI Developer posted Sep 29
- Senior Data Engineer posted Sep 22
- Knowledge Graph Analyst posted Aug 27
- Senior Data Engineer posted Aug 20
- Senior Data Engineer posted Aug 18
- Senior Data Engineer posted Aug 10
- Senior Solutions Architect posted Jul 24
- Infrastructure Solution Architect posted Jul 16
- Senior Solution Architect posted Jul 13
- GCP Data Engineer posted Jul 10
- Ontology Architect posted Jun 23
- Data Architect posted Jun 23
- Principal Architect - Databricks posted Jun 18
- Semantic Modeling Architect - Atscale posted May 20
- GenAI Data Engineer posted May 14
- Azure Databricks Senior Architect posted May 8
- Sr. Site Reliability Engineer posted May 8
- Sr Data Engineer + Platform Engineer (GCP) posted Apr 21
- Databricks Architect posted Apr 17
- Lead Business Systems Analyst posted Apr 1
- Application Architect posted Mar 25
- Lead- Full Stack Engineer posted Mar 19
- Data Engineer - Snowflake posted Mar 17
- Senior Data Engineer posted Mar 10
- Integration Engineer (Adobe Workfront Specialist) posted Mar 5
- Senior Network/Operations - DevOps Engineer posted Mar 4
- Senior Cloud Engineer (AWS Microservices) posted Mar 4
- Sr Data Architect - Patient Services (Life Sciences) posted Feb 26
- Microsoft Fabric Solutions Architect posted Feb 19
- Azure Databricks Senior Architect posted Jan 22
- Technology Partner - Data & Insights Solutions. posted Oct 20
- Principal Architect posted May 15
- Lead Data Engineer - AWS posted Apr 28
- Solutions Architect posted Apr 30
- Product Manager - Infrastructure posted Jul 17
- Master Data Management Leader posted May 15
- Production Support Engineer posted May 15
From the team and dates on Tiger Analytics Inc.'s own job board.
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