Data Product Manager

This position requires the successful candidate to work on a W2 directly with FDM. We cannot accept C2C, 1099 or employment sponsorship (e.g. H1-B) for this position.

FDM is a global business and technology consultancy delivering client and industry driven solutions through our 5 core specialist Practices; Software Engineering, Data & Analytics, IT Operations, Change & Transformation, and Risk, Regulation & Compliance.

FDM is seeking a Data Product Manager located in New York City to support a project in the Data Estate sector. Involvement in this project is anticipated to last initially 12 months but may be extended.

This role will be hybrid with requirements to be in office 2 days per week.

Skills and Competencies

• Strong grasp of agile methodologies and delivery practices
• 8+ years experience in technical product management or data engineering for data‑intensive B2B products
• Prior experience in data platform, data warehousing, or analytics environments such as Snowflake, Databricks, Redshift, Athena, or Kafka
• Experience defining, monitoring, and operationalizing data quality and QA standards, particularly for downstream analytics or AI consumers
• Proficiency with SQL for data analysis, troubleshooting, and validation
• Familiarity with how data is consumed by machine learning or AI systems
• Results‑oriented and action‑focused mindset with the ability to drive delivery in complex, matrixed environments
• Strong communication skills with the ability to translate complex data and platform concepts for technical and non‑technical stakeholders
• Strong analytical skills, persistence in problem solving, and attention to detail
• Demonstrated initiative, curiosity, and commitment to continuous improvement
• Experience working with vendors or external partners in a matrixed organization
• Track record of improving team and organizational effectiveness through influence and scalable processes
• Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use

• Bachelor’s degree required; advanced degree such as an MBA or Master’s preferred

• Own a data engineering squad, accountable for roadmap planning, execution, and delivery
• Drive effective delivery by accelerating decision making, removing blockers, and keeping the team focused on the highest‑value outcomes
• Partner with the Data Platform Product Owner, Data Governance, Quality Assurance, Data Engineering, and internal Product Development teams to bring new data sets to market
• Collaborate closely with data engineers to understand solution complexity, evaluate architectural tradeoffs, and select implementation approaches that balance speed, scalability, cost, and AI readiness
• Manage agile ceremonies including sprint planning, backlog refinement, reviews, and retrospectives to ensure consistent, high‑quality delivery
• Facilitate alignment across data and product development squads to manage dependencies and support sound decision making
• Own and prioritize a backlog of user stories, defects, refactors, infrastructure work, and production support based on business value, platform reuse, risk reduction, and AI enablement
• Use AI and GenAI tools to accelerate requirements creation, summarize stakeholder input and operational insights, and support impact analysis and root cause exploration
• Identify opportunities to automate and augment data delivery workflows, including data quality validation, documentation, metadata management, and operational reporting
• Coordinate release readiness and deployments with Release Management, Operations, Data Quality, and Data Governance partners
• Build strong relationships with data strategy and business stakeholders to support delivery of new data sets and evolution of existing data assets
• Embed data quality, lineage, and governance standards into backlog items and acceptance criteria, with particular focus on data used by AI‑ and model‑driven products
• Proactively identify and mitigate delivery, quality, privacy, and operational risks across the data lifecycle
  

About FDM  

FDM powers the people behind tech and innovation. We spot trends, find top talent, and help businesses stay ahead. 

With 35+ years of experience, we coach, mentor, and launch fresh thinkers from diverse backgrounds into world-class careers. Partnering with top global companies, we deliver the right talent at the right time—while guiding our people toward exponential growth. 

🌍 Global impact – 18 centers across North America, APAC, the UK, and Europe 
🚀 25,000+ careers launched – and counting 
🤝 300+ trusted client partners 

Committed to Diversity, Equity and Inclusion  

Tech careers should be for everyone. With 75+ nationalities represented, FDM thrives on diversity, fuels innovation through unique perspectives, and celebrates success together. As an Equal Opportunity Employer and FTSE4Good-listed company, we ensure every qualified applicant gets a fair shot—no barriers, just opportunities. 

Additional Considerations

FDM Group, Inc. is registered to operate and hire employees in select states within the US. We will consider employment applications exclusively from candidates who are either residing in one of the following states or willing to relocate to them: Arizona, California, Colorado, Delaware, Florida, Georgia, Illinois, Indiana, Massachusetts, Maryland, Minnesota, North Carolina, New Jersey, New York, Pennsylvania, Tennessee, Texas, Utah, and Virginia.