Data Product Manager @ Pittsburgh, PA or New York City, NY (3 days’ on-site)

Hello,

I am Mohammed Dastagir with Saxon Global Inc wanted to let you know about the job opportunity for Data Product Manager position if interested please share your updated resume along with expecting rate.

Role: Data Product Manager

Location: Pittsburgh, PA or New York City, NY(3 days’ on-site)

Duration: Long term contract

Job Description

Overview

As the Data Product Manager, you will own the end to end lifecycle of enterprise data products within our Google Cloud Platform (Google Cloud Platform) environment. You will design, build, and deliver scalable data solutions that serve as the backbone of analytics across merchandising, planning, finance, and broader business functions.

This role goes beyond project execution—you will drive continuous development of data assets, ensuring that our Data Hub, semantic layers, and enterprise data models are accurate, consistent, and trusted across the organization. You will translate complex business needs into strategic data products, working hands on with modern cloud technologies and guiding cross functional teams to enable high-quality analytics at scale.

Key Responsibilities:

Data Product Ownership & Strategy:

• Act as the CEO of a core data domain (e.g., supply chain, finance, merchandising), owning the roadmap, vision, and evolution of that data product.
• Lead the transition from project-based delivery to continuous product development aligned with enterprise data strategy.
• Build robust product plans that define how data products evolve, scale, and integrate across the enterprise.
• Champion the concept of “data as a product”, ensuring discoverability, trust, governance, and usability across teams.

Solution & Architecture Design:

• Define data models, data flows, and semantic layers using the Medallion Architecture (Bronze → Silver → Gold/Platinum) in BigQuery.
• Partner with Data Engineering, Analytics, and Platform teams to architect and refine data products that support both operational and analytical use cases.
• Ensure remote vs. on site role data context is reflected accurately in models (where applicable).

End-to-End Data Product Development

• Lead hands-on development of data products—from ingestion and transformation through modeling, validation, and final curated layers.
• Support automation of analytics platforms including Tableau and self-service analytics environments.
• Build data sets that power internal APIs and downstream product teams, ensuring the Data Hub serves as a single trusted source.

Stakeholder Collaboration & Communication

• Act as the front door to business partners, translating requirements into clear technical direction.
• Communicate complex data concepts in a way that supports decision-making across merchandising, planning, finance, and other teams.
• Align data governance and stewardship practices across multiple organizations.

Data Modeling, Pipelines & Governance

• Design and maintain scalable data pipelines and models in Google Cloud Platform/BigQuery.
• Ensure data accuracy, consistency, and availability across the enterprise.
• Establish and enforce data governance practices in partnership with Data Stewards.

BI Development & Innovation

• Support the creation of actionable dashboards, Tableau automation, self service analytics tools, and semantic layers.
• Drive innovation in data product capabilities and identify opportunities to improve analytics maturity.

Team Leadership & Mentorship

• Guide analysts, data engineers, and developers on best practices for data modeling, governance, and analytics product development.
• Promote a culture of engineering rigor, quality, and continuous improvement.

Qualifications:

• Bachelor's degree in Computer Science, Engineering, Statistics, or a related field.
• 7 years of experience in a data-related role (BI development, analytics engineering, data product management, or similar).
• Strong proficiency in SQL, data modeling, and data pipeline development.
• Hands on experience with Google Cloud Platform, BigQuery, and ELT/ETL frameworks; knowledge of Medallion Architecture strongly preferred.
• Experience with modern BI tools such as Tableau or Looker.
• Exceptional communication skills and an ability to translate complex data concepts to technical and non technical audiences.
• Proven track record leading technical initiatives, preferably within Agile environments.
• Experience working cross-functionally with Data Engineering, Data Analytics, and Platform teams.
• Strategic thinker with strong problem solving and stakeholder management abilities.
• Retail, e commerce, or consumer goods experience is highly preferred.
• Demonstrated experience mentoring junior team members or leading small technical teams.

Mohammed Dastagir

Resource Manager

Saxon Global Inc.

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