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Senior Data Product Manager Jobs (NOW HIRING)

Data Product Manager

New York, NY · On-site

$90K - $100K/yr

We are seeking a Data Product Manager to support the VP of Data Strategy & Analytics in shaping and delivering high-impact data products across our B2B events and media business. This role will serve ...

Data Product Manager Experience: 3-5Years of experience Location: Hyderabad Summary: AsanProduct Manager 1, you will independently execute defined product workstreams and features in support of ...

Collaborate with senior management to define the strategic direction for data products and solutions, aligning with business goals and objectives. * Collaborate with stakeholders across different ...

Collaborate with senior management to define the strategic direction for data products and solutions, aligning with business goals and objectives. * Collaborate with stakeholders across different ...

Hello , We are sourcing for Data Product Manager with one of our Direct Client in Menlo Park, CA. Please go through to the below and of you feel comfortable with the Required skills and ...

THE POSITION Our roster has an opening with your name on it We are looking for a Data Product Manager to join our Data Products team within our Data organization. This role will focus specifically on ...

THE POSITION Our roster has an opening with your name on it We are looking for a Data Product Manager to join our Data Products team within our Data organization. This role will focus specifically on ...

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Senior Data Product Manager information

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$49K

$147.8K

$213K

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

As of Jun 13, 2026, the average yearly pay for senior data product manager in the United States is $147,780.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,500.00 and $167,000.00 per year, depending on experience, location, and employer.

Is senior product manager a high position?

A Senior Data Product Manager is considered a high-level role within data and product management, often responsible for strategic decision-making, leading teams, and managing complex projects. It typically requires extensive experience, strong leadership skills, and expertise in data tools and methodologies. This position is above entry-level roles and often reports to executive management.

What's the highest paying PM job?

Senior Data Product Managers often earn the highest salaries among product management roles, especially in large tech companies or industries like finance and healthcare. Compensation can reach six figures or higher, with total packages including bonuses, stock options, and other benefits, particularly for those with extensive experience and technical skills in data analytics and machine learning.

What are the key skills and qualifications needed to thrive as a Senior Data Product Manager, and why are they important?

To thrive as a Senior Data Product Manager, you need expertise in product management, data analytics, and business strategy, often supported by a relevant degree and experience in data-driven environments. Familiarity with analytics platforms (such as SQL, Tableau), agile methodologies, and tools like JIRA is typically expected, along with knowledge of data privacy regulations. Exceptional communication, stakeholder management, and leadership skills help drive alignment and inspire cross-functional teams. These abilities are crucial for translating complex data insights into valuable products that meet business goals and user needs.

How does a Senior Data Product Manager typically collaborate with data engineers and analysts in cross-functional teams?

A Senior Data Product Manager works closely with data engineers and analysts to define product requirements, prioritize data projects, and translate business needs into technical specifications. They often facilitate regular meetings to ensure alignment, clarify priorities, and address technical or strategic challenges. By fostering clear communication and setting shared goals, Senior Data Product Managers help ensure that data initiatives deliver measurable value and are delivered on time. This collaborative approach also allows for swift problem-solving and effective adaptation to evolving project demands.

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

AspectSenior Data Product ManagerData Analyst
Required CredentialsBachelor's/Master's in Business, Data Science, or related fields; experience in product managementBachelor's in Statistics, Data Science, or related fields; proficiency in data analysis tools
Work EnvironmentCross-functional teams, product development, strategic planningData reporting, data cleaning, insights generation
Employer & Industry UsageTech companies, e-commerce, finance, healthcareMarketing agencies, finance, retail, research institutions

The main difference is that a Senior Data Product Manager focuses on developing data-driven products and strategies, leading teams, and aligning data initiatives with business goals. In contrast, a Data Analyst primarily analyzes data to generate reports and insights to support decision-making. Both roles require strong analytical skills, but the Senior Data Product Manager has a broader scope involving product lifecycle management and strategic planning.

How much do senior product managers earn?

Senior Data Product Managers typically earn between $100,000 and $160,000 annually, depending on experience, location, and company size. In addition to base salary, they may receive bonuses, stock options, and other benefits, especially in tech-focused environments that value skills in data analysis, product development, and cross-functional collaboration.

What does a Senior Data Product Manager do?

A Senior Data Product Manager is responsible for overseeing the development and management of data-driven products or platforms within an organization. They collaborate with cross-functional teams to define product strategy, prioritize features, and ensure that data products meet business objectives and user needs. Their role often involves analyzing market trends, gathering requirements, setting roadmaps, and working closely with data engineers and scientists to deliver high-quality data solutions. Senior Data Product Managers also play a key part in ensuring data governance, compliance, and scalability of data products.

What is a data product manager's salary?

A senior data product manager's salary typically ranges from $110,000 to $160,000 annually, depending on experience, location, and company size. In addition to base pay, they may receive bonuses, stock options, and benefits, with higher salaries often associated with larger tech companies and regions with a high cost of living.
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What job categories do people searching Senior Data Product Manager jobs look for? The top searched job categories for Senior Data Product Manager jobs are:
Infographic showing various Senior Data Product Manager job openings in the United States as of June 2026, with employment types broken down into 70% Full Time, 25% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $147,780 per year, or $71 per hour.
Senior Data Product Manager - Machine Learning

Senior Data Product Manager - Machine Learning

FanDuel

New York, NY

$138K - $182K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


FanDuel rating

8.6

Company rating: 8.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

2nd of 15 rated gambling companies


Job description

THE POSITION
Our roster has an opening with your name on it

We are looking for a Product Manager to join our Data Products team within our Technology. This is a key role in a fast-paced environment working with teams and stakeholders across the business to drive the development and enhancement of our Data Science and Machine Learning products. In this role, you'll drive the evolution and adoption of our ML Platform, including experiment tracking, model lifecycle management, observability, and feature engineering capabilities that enable data scientists to build, deploy, and monitor models at scale. You'll also own the product strategy for ML-powered consumer applications - today focused on search relevance and ranking across the FanDuel product suite, with future scope expanding across personalization, recommendations, and beyond.

In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

THE GAME PLAN
Everyone on our team has a part to play

  • You will take ownership of data products that deliver key insights into our business and drive future business decisions
  • Lead elicitation of requirements, in the form of user stories & acceptance criteria, prioritizing the product backlog to streamline the execution of program priorities
  • Work closely with cross-functional teams, including data scientists, engineers, and business stakeholders, to ensure our platform aligns with business objectives and delivers advanced machine learning solutions
  • Own the product roadmap for ML-powered consumer features, including search ranking, relevance tuning, and recommendation systems - translating business outcomes into model requirements and working backward from the user experience
  • Partner with Data Science, ML Engineering, and product teams to define and improve relevance signals, evaluation frameworks (offline metrics, A/B experiments, user feedback loops), and deployment criteria for consumer-facing ML features
  • Bring fresh ideas to the table when working to solve business problems, using your commercial understanding to generate innovative solutions
  • Create and maintain user guides, technical documentation, and best practices for the Machine Learning platform, including tooling for experiment tracking, model deployment, feature engineering, and observability
  • Monitor platform performance, model accuracy, and data quality. Identify and address issues to continuously improve platform efficiency
  • Play a key role within the PM community here at FanDuel, sharing your industry best practice and fostering a culture of knowledge sharing and cross-skilling

THE STATS
What we're looking for in our next teammate

  • 5-8 years of experience as a Product Manager, Product Owner, or Data Scientist delivering impactful data products, with a proven track record of successful project delivery and stakeholder satisfaction.
  • Experience working with data warehouse and data science technologies, including platforms such as Python, PySpark, Databricks, AWS, and MLflow ensuring efficient data processing and management.
  • Sufficient technical fluency in ML frameworks to partner effectively with ML engineers on model development and deployment requirements; hands-on experience is a plus
  • Expertise in using Databricks for scalable data engineering and machine learning workflows, leveraging its collaborative environment and optimized Spark clusters for accelerated development and deployment cycles.
  • Strong proficiency in SQL for querying and manipulating large datasets, combined with advanced programming skills in Python for data preprocessing, feature engineering, and model development tasks.
  • Hands-on experience with MLflow for experiment tracking, model registry, and model lifecycle management, including integration with Unity Catalog for centralized governance and versioning
  • Familiarity with ML observability and monitoring tools (e.g., Fiddler, Evidently AI, or similar platforms) for tracking model performance, detecting data drift, and ensuring model health in production environments
  • Extensive experience with feature stores, facilitating efficient feature management and reuse across machine learning models, enhancing model accuracy and reducing time-to-market for data-driven solutions.
  • Familiarity with data visualization tools sufficient to define requirements and review outputs
  • Exceptional analysis skills, with the ability to interpret complex datasets, identify meaningful patterns and trends, and derive actionable insights to inform product strategy and decision-making.
  • Proven experience conducting stakeholder interviews and facilitating stakeholder workshops, fostering open communication and collaboration to gather requirements, prioritize features, and align product roadmap with business objectives.
  • Proficient in translating product roadmap features into well-defined product requirements, including features, user stories, and acceptance test criteria, ensuring clear understanding and alignment across cross-functional teams.
  • Thrives in a fast-paced environment, adapting quickly to changing priorities while driving high standards and delivering value that meets or exceeds challenging goals.
  • Drives high standards for individual accomplishment and works to meet or exceed challenging goals, fostering a culture of excellence and continuous improvement within the product development team.
  • Is accustomed to working in a fast-paced environment, adapting quickly to changing priorities and requirements, while maintaining a focus on delivering value and driving outcomes for the organization.
  • Bachelor's degree in a relevant field preferred (Computer Science, Engineering, Business, or a related discipline). A Master's degree is a plus, providing additional depth and specialization in machine learning, data science, or related fields.

ABOUT FANDUEL

FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America's #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry's unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.  

In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.

The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company's affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.

FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).

PLAYER BENEFITS
We treat our team right

We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level.

FanDuel is an equal opportunities employer and we believe, as one of our principles states, "We are One Team!". As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.

The applicable salary range for this position is $138,000 - $173,000 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.

FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

#LI-Hybrid