Product Data Manager

About The RoleThis 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.About YouStrong grasp of agile methodologies and delivery practices8+ years experience in technical product management or data engineering for data‑intensive B2B productsPrior experience in data platform, data warehousing, or analytics environments such as Snowflake, Databricks, Redshift, Athena, or KafkaExperience defining, monitoring, and operationalizing data quality and QA standards, particularly for downstream analytics or AI consumersProficiency with SQL for data analysis, troubleshooting, and validationFamiliarity with how data is consumed by machine learning or AI systemsResults‑oriented and action‑focused mindset with the ability to drive delivery in complex, matrixed environmentsStrong communication skills with the ability to translate complex data and platform concepts for technical and non‑technical stakeholdersStrong analytical skills, persistence in problem solving, and attention to detailDemonstrated initiative, curiosity, and commitment to continuous improvementExperience working with vendors or external partners in a matrixed organizationTrack record of improving team and organizational effectiveness through influence and scalable processesDemonstrated 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 useEducationBachelor’s degree required; advanced degree such as an MBA or Master’s preferredResponsibilitiesOwns and leads a data engineering squad responsible for building and operating one of the organizations core data platforms, with a strong focus on delivering high‑quality, governed data that drives customer and business value.Own a data engineering squad, accountable for roadmap planning, execution, and deliveryDrive effective delivery by accelerating decision making, removing blockers, and keeping the team focused on the highest‑value outcomesPartner with the Data Platform Product Owner, Data Governance, Quality Assurance, Data Engineering, and internal Product Development teams to bring new data sets to marketCollaborate closely with data engineers to understand solution complexity, evaluate architectural tradeoffs, and select implementation approaches that balance speed, scalability, cost, and AI readinessManage agile ceremonies including sprint planning, backlog refinement, reviews, and retrospectives to ensure consistent, high‑quality deliveryFacilitate alignment across data and product development squads to manage dependencies and support sound decision makingOwn and prioritize a backlog of user stories, defects, refactors, infrastructure work, and production support based on business value, platform reuse, risk reduction, and AI enablementUse AI and GenAI tools to accelerate requirements creation, summarize stakeholder input and operational insights, and support impact analysis and root cause explorationIdentify opportunities to automate and augment data delivery workflows, including data quality validation, documentation, metadata management, and operational reportingCoordinate release readiness and deployments with Release Management, Operations, Data Quality, and Data Governance partnersBuild strong relationships with data strategy and business stakeholders to support delivery of new data sets and evolution of existing data assetsEmbed data quality, lineage, and governance standards into backlog items and acceptance criteria, with particular focus on data used by AI‑ and model‑driven productsProactively identify and mitigate delivery, quality, privacy, and operational risks across the data lifecycleAbout the TeamThe Data Estate Data Platform team is part of the broader Data Product Management organization. The team is a dynamic, analytical group with a strong bias toward rapid and reliable delivery of high‑quality data assets. We partner closely with data engineering, governance, and product development teams to bring trusted, well‑governed data to market, enabling analytics‑ and AI‑driven products that create meaningful value for customers and the business.About FDMFDM 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 partnersCommitted to Diversity, Equity and InclusionTech 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 ConsiderationsFDM 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.