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Senior Data Product Owner Jobs in Raleigh, NC (NOW HIRING)

Senior Data Architect

Raleigh, NC · On-site

$65.25 - $87.50/hr

Overview The Senior Data Architect is a senior technical leader within Enterprise Data & Analytics ... Data sharing and data product architectures Transformation & Orchestration * DBT architecture and ...

Senior Data Architect

Raleigh, NC · On-site

$65.25 - $87.50/hr

Overview The Senior Data Architect is a senior technical leader within Enterprise Data & Analytics ... API-enabled data products * Fargate-based services * Near real-time analytics solutions * Event ...

New

Senior Data Architect

Raleigh, NC · On-site

$65.25 - $87.50/hr

Overview The Senior Data Architect is a senior technical leader within Enterprise Data & Analytics ... API-enabled data products * Fargate-based services * Near real-time analytics solutions * Event ...

New

The Sr. Product Owner serves as a key link between underwriting, operations, and technology, using strong partnership, prioritization, and data-driven decisions to drive value. This position operates ...

Directs initiatives to enhance data quality, governance, reporting, analytics, and Enterprise Data ... Product Strategy - Partner with business stakeholders to define, refine, and align on vision ...

Directs initiatives to enhance data quality, governance, reporting, analytics, and Enterprise Data ... Product Strategy - Partner with business stakeholders to define, refine, and align on vision ...

Product Owner

Cary, NC · On-site

$100K - $120K/yr

... IT, the Product Owner will be responsible for actively engaging with Business stakeholders to ... in Data and Analytics particularly BI space. • Highly organized with the ability to manage ...

Directs initiatives to enhance data quality, governance, reporting, analytics, and Enterprise Data ... Product Strategy - Partner with business stakeholders to define, refine, and align on vision ...

Product Owner

Cary, NC · On-site

$75K - $130K/yr

As the Product Owner , you will collaborate with System Developers and Business Subject Matter ... Data Management experience and database knowledge preferred * Knowledge of JIRA, Confluence or ...

Senior Product Owner

Durham, NC · On-site

$104K - $166K/yr

About the jobThe Product Owner is responsible for delivering the capabilities and features of the products collaborating with Engineering, UX, Support, and other cross functional teams in alignment ...

Understanding of data warehousing and ETL processes (including AWS/Snowflake) * Knowledge of ... Proven track record of leading agile data product delivery across cross-functional teams using ...

Senior Product Owner

Durham, NC · On-site

$122K - $161K/yr

They are seeking a Senior Product Owner who will manage the software product backlog, collaborate with cross-functional teams, and balance candidate scope items to ensure effective product delivery.

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Senior Data Product Owner information

See Raleigh, NC salary details

$40.3K

$109.7K

$159.9K

How much do senior data product owner jobs pay per year?

As of Aug 11, 2026, the average yearly pay for senior data product owner in Raleigh, NC is $109,739.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,900.00 and $125,900.00 per year, depending on experience, location, and employer.

What is a senior data product owner?

A Senior Data Product Owner is a leadership role responsible for defining the strategy, vision, and roadmap of data-driven products within an organization. They act as a bridge between business stakeholders and technical teams, ensuring that data products align with business goals and deliver value. Their responsibilities include prioritizing product features, managing the product backlog, and overseeing the development process. Senior Data Product Owners typically have experience in data analytics, product management, and stakeholder communication. They play a crucial role in maximizing the impact of data assets and fostering a data-driven culture.

What is the difference between Senior Data Product Owner vs Data Analyst?

AspectSenior Data Product OwnerData Analyst
Required CredentialsTypically requires a bachelor’s degree in business, IT, or related field; certifications like Certified Scrum Product Owner (CSPO) are commonUsually requires a bachelor’s degree in statistics, mathematics, or related field; certifications like Microsoft Excel or SQL are beneficial
Work EnvironmentWorks closely with product teams, stakeholders, and engineering to define data products and roadmapsAnalyzes data sets, creates reports, and provides insights to support decision-making
Employer & Industry UsageCommon in tech, finance, and e-commerce industries focusing on data-driven productsWidely used across industries for data analysis and reporting tasks

The Senior Data Product Owner focuses on managing data products, defining requirements, and collaborating with cross-functional teams, while the Data Analyst primarily analyzes data and generates reports. Both roles require strong analytical skills, but the Product Owner emphasizes product management and stakeholder communication.

How does a senior data product owner typically collaborate with data engineers and other stakeholders to ensure successful product delivery?

A Senior Data Product Owner works closely with data engineers, analysts, business stakeholders, and sometimes data scientists to translate business needs into actionable product requirements. They facilitate regular meetings such as sprint planning and backlog grooming to prioritize features and clarify expectations. Communication is key, as the Senior Data Product Owner must balance technical feasibility with business value, ensuring that all parties are aligned on project goals and timelines. This collaborative approach helps to overcome challenges related to data quality, integration, and evolving business objectives.

What are the key skills and qualifications needed to thrive as a senior data product owner?

To thrive as a Senior Data Product Owner, you need strong skills in data analytics, product management, and a solid understanding of data governance, typically supported by relevant experience or a degree in a related field. Familiarity with tools like SQL, Tableau, Jira, and Agile methodologies, as well as possible certifications such as Certified Scrum Product Owner (CSPO), is often expected. Exceptional stakeholder management, communication, and strategic thinking are crucial soft skills for aligning technical teams and business objectives. These abilities ensure the development of high-impact data products that drive organizational value and support informed decision-making.
What are the most commonly searched types of Data Product Owner jobs in Raleigh, NC? The most popular types of Data Product Owner jobs in Raleigh, NC are:
What are popular job titles related to Senior Data Product Owner jobs in Raleigh, NC? For Senior Data Product Owner jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Senior Data Product Owner jobs in Raleigh, NC look for? The top searched job categories for Senior Data Product Owner jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Senior Data Product Owner jobs? Cities near Raleigh, NC with the most Senior Data Product Owner job openings:

Senior Data Architect

First Citizens Bank

Raleigh, NC • On-site

$65.25 - $87.50/hr

Full-time

Posted 5 days ago


First Citizens Bank rating

7.4

Company rating: 7.4 out of 10

Based on 106 frontline employees who took The Breakroom Quiz

109th of 171 rated banks


Job description

Overview
The Senior Data Architect is a senior technical leader within Enterprise Data & Analytics (ED&A) responsible for defining, designing, and implementing enterprise-scale data architectures that enable trusted, governed, and business-ready data across the organization.
This role requires deep hands-on expertise across transactional systems (OLTP), analytical platforms (OLAP), modern cloud data platforms, data integration, and enterprise data modeling. The Senior Data Architect is expected to operate from strategy through implementation, partnering with engineering teams to design scalable solutions while actively participating in architecture reviews, complex data modeling, performance optimization, data product design, and platform modernization initiatives.
The ideal candidate brings extensive experience designing and implementing modern data ecosystems leveraging AWS, Snowflake, Data Vault 2.0, DBT, API-based integration patterns, event-driven architectures, metadata management, and AI-ready data foundations.
Responsibilities
Enterprise Data Architecture & Design
  • Define and evolve enterprise data architecture standards, patterns, and reference architectures.
  • Develop target-state architectures supporting ED&A strategic objectives and Nexus platform evolution.
  • Lead architecture design across operational, analytical, reporting, regulatory, and AI use cases.
  • Drive consistency across data acquisition, storage, transformation, governance, and consumption layers.
  • Establish architecture guardrails balancing agility, scalability, maintainability, and regulatory compliance.

Modern Data Platform Architecture
Serve as a senior technical architect responsible for end-to-end design of the Nexus ecosystem including:
Data Ingestion Layer
  • Qlik Replicate and CDC patterns
  • Event-driven ingestion architectures
  • API-driven integrations
  • Batch and near real-time ingestion frameworks
  • External and third-party data integration

Data Storage & Processing Layers
  • AWS S3 data lake architecture
  • Landing and ingestion zones
  • Snowflake data platform architecture
  • Raw Data Vault implementation
  • Business Data Vault design
  • Consumption and semantic layers
  • Data sharing and data product architectures

Transformation & Orchestration
  • DBT architecture and modeling standards
  • ELT pipeline design
  • Reusable transformation frameworks
  • Astronomer (Airflow) orchestration patterns
  • Workflow dependency management
  • Data observability and monitoring

Operational Analytics
  • API-enabled data products
  • Fargate-based services
  • Near real-time analytics solutions
  • Event streaming architectures
  • Operational reporting architectures

Enterprise Data Modeling Leadership
Provide deep expertise across multiple modeling disciplines:
OLTP Modeling
  • Third Normal Form (3NF)
  • Operational application schemas
  • Transaction processing systems
  • Customer, account, loan, and transaction data structures
  • Source system integration patterns

Analytical Modeling (OLAP)
  • Star schemas
  • Snowflake schemas
  • Fact and dimension design
  • Aggregate layer strategies
  • Semantic modeling

Data Vault 2.0
  • Hubs
  • Links
  • Satellites
  • Business Vault design
  • Point-in-time structures
  • Bridge tables
  • Auditability and lineage patterns

Information Architecture
  • Enterprise canonical models
  • Business capability mapping
  • Customer 360 architectures
  • Reference and master data design
  • Domain-driven architecture
  • Architects in this role are expected to actively review and contribute to data models rather than simply approve designs.

Data Products & Domain Architecture
  • Drive adoption of data product thinking across ED&A.
  • Define standards for ownership, accountability, quality, discoverability, and reuse.
  • Partner with business domains to establish trusted and reusable analytical assets.
  • Design scalable domain-oriented architectures supporting Data Mesh principles where appropriate.
  • Enable self-service consumption through governed data products.

Data Governance by Design
Partner closely with Governance teams to embed controls directly within architectural designs.
Responsibilities include:
  • Metadata architecture
  • Business glossary alignment
  • Technical and business lineage
  • Data quality architecture
  • Data contract implementation
  • Sensitive data classification
  • Policy-based access control
  • Data retention and auditability
  • Leverage Collibra, BigID, and platform-native capabilities to improve trust and transparency across enterprise data assets.

Performance Optimization & Engineering Excellence
Actively troubleshoot and improve platform performance by:
  • Reviewing Snowflake query performance
  • Optimizing warehouse utilization and workload management
  • Designing scalable partitioning and clustering strategies
  • Improving ELT processing efficiency
  • Reducing data movement and duplication
  • Enhancing pipeline scalability and resiliency
  • Ensuring efficient storage and compute utilization
  • Expected to participate in technical deep-dives and solution reviews with engineering teams.

AI & Advanced Analytics Architecture
  • Define architectural foundations for enterprise AI initiatives.
  • Design AI-ready data products and curated consumption layers.
  • Support feature engineering and model-serving architectures.
  • Enable trusted, explainable, and governed AI data pipelines.
  • Partner with Data Science teams to ensure scalability of predictive and generative AI solutions.
  • Architect retrieval, metadata, and knowledge-layer capabilities supporting future GenAI initiatives.

Technical Leadership
  • Lead architecture reviews across strategic initiatives and programs.
  • Influence technical direction across engineering, analytics, governance, and business teams.
  • Mentor engineers, architects, and modelers on modern architecture principles.
  • Establish engineering standards, design patterns, and reusable frameworks.
  • Provide thought leadership on emerging technologies and industry best practices.
  • Serve as the escalation point for complex architecture and modeling challenges.

Qualifications
Bachelor's Degree and 6 years of experience in Enterprise data architecture, advanced data solutions, cloud platforms OR High School Diploma or GED and 10 years of experience in Enterprise data architecture, advanced data solutions, cloud platforms
Preferred Qualifications
  • Financial Services or Banking industry experience.
  • Experience modernizing legacy data warehouse environments.
  • Experience architecting large-scale Customer 360 solutions.
  • Experience supporting regulatory and risk reporting ecosystems.
  • Knowledge of Data Mesh and Data Product operating models.
  • TOGAF, CDMP, SnowPro, AWS, or equivalent certifications.

Experience
  • 12+ years of experience in Data Engineering, Data Architecture, Information Management, or Analytics Engineering.
  • 5+ years serving as a lead architect for enterprise-scale data platforms.
  • Proven experience designing and implementing modern cloud data platforms.
  • Demonstrated experience leading large-scale data modernization programs.
  • Experience working directly with engineering teams on implementation, optimization, and troubleshooting.

Modern Data Platforms
  • Snowflake
  • AWS Data Services
  • Amazon S3
  • Data Lake and Lakehouse architectures
  • Cloud-native data ecosystems

Data Engineering
  • ELT/ETL architectures
  • Data integration patterns
  • Change Data Capture (CDC)
  • Event-driven architectures
  • API-based integration
  • Data orchestration frameworks

Nexus Core Technologies
  • Snowflake
  • DBT
  • Qlik Replicate
  • Astronomer / Apache Airflow
  • AWS
  • Data Vault 2.0
  • Collibra
  • BigID

Data Modeling
  • Conceptual, Logical and Physical Data Modeling
  • Data Vault 2.0
  • Dimensional Modeling
  • Canonical Modeling
  • Master Data Management
  • Reference Data Management

Data Management
  • Data Governance
  • Data Quality
  • Data Lineage
  • Metadata Management
  • Data Cataloging
  • Data Contracts

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

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