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Product Manager Data Analytics Jobs (NOW HIRING)

Mujin

Product Manager - Data & Analytics

Suwanee, GA · On-site

Were seeking a Product Manager - Data & Analytics to lead the development of data-driven solutions that power visibility, decision-making, and optimization across our warehouse automation platform.

AEG

Product Manager, Data & Analytics

Atlanta, GA · On-site

... seeking a Product Manager to lead the consumer-facing internal reporting surface of our data ... Partner with Analytics Engineering on data mart and stable view design. Ensure requirements and UAT ...

Montefiore

Senior Product Manager Data & Analytics

Odell, OR

$129K - $171K/yr

D&A - Data & Analytics Work Shift: Day Work Days: MON-FRI Scheduled Hours: 8:30 AM-5 PM Scheduled Daily Hours: 7.5 HOURS Pay Range: $152,000.00-$190,000.00 Job Summary The Senior Product Manager is a ...

Molina Healthcare

Manager, Data Analytics

Long Beach, CA · On-site +1

$79K - $172K/yr

Job Summary Manages the activities of the Data Analytics and Reporting team. Performs research and analysis of complex Clinical Data - Utilization & Care Management Data. Evaluates, writes, and ...

Mattel, Inc.

Manager, Data Analytics

El Segundo, CA · On-site

The Manager, Data Analytics plays a critical role in unlocking consumer and ecommerce data to drive ... and product changes • Develop predictive and descriptive models to estimate outcomes such as ...

Bank of Montreal

Manager, Data & Analytics

Chicago, IL · On-site

$74K - $138K/yr

Conduct deep-dive analyses on banking products, client behavior, and performance trends. * Develop ... Collaborate with the Sr. Manager and analytics team to improve data workflows and efficiency.

CMI Media Group

Manager, Data Analytics

Cherry Hill, NJ

$70K - $140K/yr

... edge data management products and services. You will lead by example, mentoring your team ... Analyze and optimize team workflows, identify opportunities for increased efficiency and accuracy ...

CMI Media Group

Manager, Data Analytics

Parsippany, NJ

$70K - $140K/yr

... edge data management products and services. You will lead by example, mentoring your team ... Analyze and optimize team workflows, identify opportunities for increased efficiency and accuracy ...

Optimum

Manager - Data Analytics

Long Island City, NY · On-site

$123K - $202K/yr

Our team is comprised of Sales Executives, Software Engineers, Data Analysts, Ad Operations, Marketing Professionals, Product Managers and more. If you are tech-savvy, data-driven, client focused ...

CMI Media Group

Manager, Data Analytics

Cherry Hill, NJ · On-site

$70K - $140K/yr

... edge data management products and services. You will lead by example, mentoring your team ... Analyze and optimize team workflows, identify opportunities for increased efficiency and accuracy ...

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Product Manager Data Analytics information

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$51.5K

$159.4K

$197K

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

As of Jun 20, 2026, the average yearly pay for product manager data analytics in the United States is $159,405.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,000.00 and $197,000.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

For a Product Manager in Data Analytics, age is not a barrier to entering the field. Success depends on skills, experience, and continuous learning, such as mastering tools like SQL, Python, or data visualization software. Many professionals transition into data roles later in their careers and find opportunities based on their expertise and problem-solving abilities.

Is AI replacing data analysts?

Product managers in data analytics oversee the integration of AI tools to enhance data processing and insights, but AI is not replacing data analysts; instead, it automates routine tasks, allowing analysts to focus on complex analysis and strategic decision-making. Skills in data visualization, statistical analysis, and AI tools remain essential for data analysts to add value in organizations.

Do product managers need data analytics?

Product managers need data analytics skills to make informed decisions, prioritize features, and measure product performance. Familiarity with data tools like SQL, Excel, or analytics platforms is often essential for analyzing user behavior and business metrics. These skills help ensure products meet user needs and business goals effectively.

Can a data analyst work as a product manager?

A data analyst can transition to a product manager role if they develop skills in product strategy, project management, and stakeholder communication. While data analysis provides a strong foundation in data-driven decision-making, product managers typically require experience in cross-functional leadership and understanding customer needs. Certifications like Agile or Scrum can also support this career shift.

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

To thrive as a Product Manager in Data Analytics, you need a strong background in data analysis, product lifecycle management, and business strategy, often supported by a degree in business, computer science, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), SQL, and experience with analytics platforms are typically required, and certifications such as Certified Scrum Product Owner (CSPO) can be advantageous. Exceptional communication, problem-solving, and stakeholder management skills help you bridge technical teams and business objectives. These abilities are crucial for delivering data-driven products that meet user needs and provide measurable business value.

How does a Product Manager in Data Analytics typically collaborate with data scientists and engineers on a project?

As a Product Manager in Data Analytics, you serve as the bridge between business stakeholders and technical teams. You'll work closely with data scientists to define project objectives, ensure that analytical models align with business needs, and prioritize features based on user impact. Collaboration with data engineers is essential for understanding data infrastructure requirements and ensuring reliable data pipelines. Regular communication, sprint planning, and joint problem-solving sessions are core to fostering alignment and delivering successful analytics solutions.

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

AspectProduct Manager Data AnalyticsData Analyst
Primary FocusOverseeing data-driven product strategies and roadmapsAnalyzing data to generate reports and insights
Skills & CertificationsProduct management, data analytics, SQL, communicationData analysis, SQL, Excel, visualization tools
Work EnvironmentCross-functional teams, product development cyclesData teams, business units, reporting environments
Industry UsageTech, e-commerce, SaaS companiesFinance, marketing, healthcare, tech

Product Manager Data Analytics focuses on guiding product strategies using data insights, while Data Analysts primarily analyze data to produce reports. Both roles require analytical skills and familiarity with data tools, but their responsibilities and scope differ significantly.

What are Product Manager Data Analytics?

A Product Manager Data Analytics is a professional responsible for overseeing the development, strategy, and success of data analytics products or features within an organization. They work at the intersection of business, technology, and data, collaborating with data scientists, engineers, and stakeholders to define product vision, prioritize features, and ensure analytics solutions meet user and business needs. Their role involves understanding market trends, user requirements, and translating complex data insights into actionable product enhancements. Ultimately, they drive the product lifecycle to deliver value through data-driven decision making.
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What cities are hiring for Product Manager Data Analytics jobs? Cities with the most Product Manager Data Analytics job openings:
What states have the most Product Manager Data Analytics jobs? States with the most job openings for Product Manager Data Analytics jobs include:
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Product Manager Data Analytics jobs near you
Infographic showing various Product Manager Data Analytics job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $159,405 per year, or $76.6 per hour.
Product Manager, Data Analytics

Product Manager, Data Analytics

Equity Residential

Chicago, IL • On-site

$106K - $132K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago

Equity Residential rating

7.5

Company rating: 7.5 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

70th of 210 rated facilities management

Job description

Job Description
Reporting to the Senior Manager, Data Analytics, the candidate will be responsible for defining, delivering and continuously enhancing Equity Residential's analytics and machine-learning enabled products. This role sits at the intersection of data science, software engineering, and business strategy, translating analytical insights into scalable systems and partnering with technical teams to operationalize machine learning models into production-grade applications. The ideal candidate brings a blend of product management discipline, technical fluency in machine learning and data pipelines, and strong program management skills. This role collaborates closely with the Senior Software Engineer, data scientists, and business partners to build intuitive, reliable products that drive measurable impact on pricing, forecasting, and operational decision-making.
PLEASE NOTE: Our current onsite work schedule requires attendance from Monday through Thursday each week, with remote work permitted on Fridays.
WHAT YOU'LL DO:
  • Collaborates with business, analytics, and engineering teams to define the vision, strategy, and long-term roadmap for data and machine learning products.
  • Translates complex pricing, forecasting, and operational needs into clear product requirements, user stories, and acceptance criteria.
  • Leads prioritization across competing business and technical needs, managing backlogs and release plans.
  • Serves as product spokesperson and subject matter expert for analytics capabilities across the enterprise.
  • Works directly with data scientists to understand and refine model outputs, feature relevance, performance metrics, and constraints.
  • Applies strong technical knowledge of machine learning workflows, pipelines, APIs, and model monitoring to guide product direction and evaluate trade-offs.
  • Partners with the Senior Software Engineer Data & Analytics Products to operationalize models into user-facing applications and enterprise systems.
  • Ensures all ML-driven product features emphasize explain ability, compliance, and reliability.
  • Defines and tracks key KPIs (e.g., model accuracy, revenue lift, adoption, system reliability) to measure product performance and business impact.
  • Establishes a structured cadence for reviewing KPIs with cross-functional partners and initiating corrective actions or enhancements.
  • Drives successful delivery of milestones across pilots, MVP releases, and product iterations.
  • Leads retrospectives and drives continuous improvement of analytics workflows, model governance, and product execution processes.
  • Acts as the bridge between data scientists, software engineers, IT, Pricing, and Operations teams.
  • Facilitates workshops, demos, feedback sessions, and cross-functional updates to maintain alignment and transparency.
  • Communicates complex analytical concepts in a clear, business-relevant manner for stakeholders at all levels.
  • Supports change management, training, and adoption for new analytics capabilities across the organization.

REQUIREMENTS:
  • Bachelor's degree required; degree in Business, Computer Science, Engineering, Analytics, Economics, or related field preferred.
  • 5 plus years of experience in Product Management, Technical Program Management, or Engineering, with a focus on data, analytics, or platform development.
  • Strong technical working knowledge of machine learning models, data pipelines, model deployment workflows, and APIs-with hands-on experience partnering with data scientists and engineers.
  • Demonstrated ability to integrate machine learning driven features into end-to-end production systems and evaluate model performance.
  • Proficiency with SQL, analytics environments, and BI tools (Power BI, Tableau, etc.).
  • Proven experience with Agile methodologies, backlog management, sprint execution, and iterative product delivery.
  • Experience defining and managing program-level KPIs, establishing review cadences, and leading data-driven decision processes.
  • Experience in Revenue Management, pricing optimization, forecasting, yield management, or similar analytical domains (real estate, hospitality, travel, etc.).
  • Excellent verbal and written communication skills with ability to translate between technical and non-technical stakeholders.

The Company may revise this job description from time to time as business needs require. It is not intended to be an exhaustive listing of all the functions of the job, nor to limit the Company's right to assign other functions to an employee in this position. This job description does not constitute a written or implied contract of employment.
SALARY:
$106,228-$132,785per year; in addition to base salary, a discretionary 16.0% annual bonus is provided.
The successful candidate's starting pay will be determined based on job-related skills, experience, and qualifications.
WE CARE ABOUT YOUR TOTAL WELLBEING:
  • Physical Wellbeing: Medical, dental, and vision care
  • Social Wellbeing: 9 paid holidays, annual vacation time, paid sick leave, new parent benefits
  • Financial Wellbeing: 401(k) Retirement Savings Plan, Rent Discounts, Competitive Compensation
  • Community Wellbeing: Paid Community Service Hours
  • Career Wellbeing: Leadership Development
  • Learn more about our Total Wellbeing program here.

RELOCATION:
Equity Residential does not cover relocation costs for this opportunity; all relocation and related expenses are the responsibility of the candidate.
PHYSICAL AND VISUAL ACTIVITIES:
Ability to effectively hear, speak, and communicate in person and over the phone, including the clear exchange of information through spoken and written communication. Ability to interpret, evaluate, and accurately convey detailed verbal and written instructions. Visual acuity sufficient to use a computer effectively and read written materials. Ability to lift, push, pull, or carry up to 15 pounds to distribute documents, supplies, and materials throughout the office or facility. May be required to climb stairs depending on property layout. Occasional travel may be required.
The above describes the physical and visual activities that are commonly associated with the performance of the essential functions of this job. Commonly associated is not intended to mean always or only. Reasonable accommodation will be provided as required by law to enable otherwise qualified employees with a known disability to perform the essential functions of the job.
WORKING ENVIRONMENT:
Our work environment is casual, collaborative, and people-first. Team members are encouraged to bring their authentic selves to work, share ideas openly, and communicate comfortably across all levels of the organization. While we value professionalism and accountability, we also believe a relaxed atmosphere fosters creativity, productivity, and strong working relationships. Employees enjoy a flexible, supportive culture where teamwork, mutual respect, and a sense of balance are priorities.
Equity Residential is an Equal Opportunity Employer. We are committed to equal employment opportunities for all job applicants and employees. No job applicant or employee will be discriminated against because of race, religion, color, sex, sexual orientation, gender, sexual/gender identity, age, disability, pregnancy, national origin, military or veteran status, or any other characteristic protected by applicable law. Equity Residential is committed to hiring a diverse workforce. Equity Residential has a smoke-free workplace environment.
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