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High-CTR: Sr. Data Product Manager Careers at Skechers - Hermosa Beach, California | Apply Now!

Skechers

High-CTR: Sr. Data Product Manager Careers at Skechers - Hermosa Beach, California | Apply Now!

full-timePosted: Feb 17, 2026

Job Description

Sr. Data Product Manager at Skechers: Drive Data-Driven Decisions

Are you an experienced data product leader passionate about transforming raw data into actionable insights? Skechers, The Comfort Technology Company®, is seeking a Senior Data Product Manager to spearhead the strategy, design, and delivery of enterprise data and analytics solutions. This hybrid role, based in beautiful Hermosa Beach, California, offers the opportunity to shape the future of data-driven decision-making within a global lifestyle brand.

Role Overview

As a Senior Data Product Manager, you will be the driving force behind Skechers' data and analytics initiatives. You will translate business needs into impactful data products, enabling informed decision-making through clear dashboards, strong data foundations, and modern analytics capabilities. Your expertise in AI, Machine Learning, and Generative AI will be crucial in enhancing analytics, forecasting, and decision support.

A Day in the Life

Here’s a glimpse into your daily activities:

  • Collaborate with business stakeholders to understand their data needs and challenges.
  • Define and prioritize data product roadmap initiatives.
  • Design and develop intuitive dashboards and data visualizations.
  • Work with data engineers to ensure data quality and accessibility.
  • Explore opportunities to leverage AI and machine learning to improve business outcomes.
  • Communicate data insights and recommendations to stakeholders.
  • Monitor the performance of data products and identify areas for improvement.
  • Stay up-to-date on the latest trends in data analytics and product management.

Why Hermosa Beach?

Hermosa Beach offers a vibrant coastal lifestyle with a thriving tech community. Imagine working just steps from the beach, enjoying the Southern California sunshine, and collaborating with a team of talented professionals. The location provides a unique blend of work and play, making it an ideal place to advance your career while enjoying a high quality of life. This hybrid role requires 2 days per week onsite, allowing for a balance of collaboration and focused work time.

Career Path

Skechers is committed to employee growth and development. This Senior Data Product Manager role can be a springboard to further career advancement within the organization. Potential career paths include:

  • Director of Data Products
  • VP of Analytics
  • Chief Data Officer

Salary & Benefits

The estimated salary range for this position is $140,000 to $210,000 annually. Skechers also offers a comprehensive benefits package, including:

  • Competitive salary and performance-based bonuses.
  • Comprehensive health insurance coverage, including medical, dental, and vision.
  • Paid time off, including vacation, sick leave, and holidays.
  • Generous employee discount on Skechers products.
  • 401(k) retirement plan with company match.
  • Employee stock purchase plan.
  • Life insurance and disability coverage.
  • Flexible spending accounts for healthcare and dependent care.
  • Wellness programs and resources.
  • Professional development opportunities and training programs.
  • Employee assistance program (EAP).
  • Commuter benefits.
  • Onsite gym and fitness classes.
  • Cafeteria or subsidized meals.
  • Opportunities for advancement within the company.
  • A collaborative and supportive work environment.
  • Employee recognition programs.
  • Company-sponsored events and activities.

Skechers Culture

Skechers is a dynamic and innovative company with a strong emphasis on comfort, style, and quality. The company fosters a collaborative and supportive work environment where employees are encouraged to contribute their ideas and make a difference. Skechers values diversity and inclusion and is committed to creating a workplace where everyone feels welcome and respected.

How to Apply

If you are a data-driven leader with a passion for innovation and a desire to make a significant impact, we encourage you to apply for the Senior Data Product Manager position at Skechers. Please submit your resume and cover letter through the Skechers careers website.

FAQ

  1. What is the hybrid work schedule for this role?

    This position requires 2 days per week onsite in Hermosa Beach, CA.

  2. What are the key skills and qualifications for this role?

    Key skills include data product strategy, dashboard design, data visualization, AI/ML experience, and strong communication skills. Qualifications include experience in defining and executing data product roadmaps, translating business needs into data solutions, and driving adoption of data products.

  3. What opportunities are there for professional development at Skechers?

    Skechers offers various professional development opportunities, including training programs, conferences, and mentorship programs.

  4. What is the company culture like at Skechers?

    Skechers fosters a collaborative and supportive work environment where employees are encouraged to contribute their ideas and make a difference. The company values diversity and inclusion.

  5. What is the employee discount on Skechers products?

    Skechers offers a generous employee discount on its products.

  6. What types of data will I be working with?

    You will be working with a wide range of data, including sales data, marketing data, customer data, and supply chain data.

  7. What tools and technologies are used for data analytics at Skechers?

    Skechers uses a variety of tools and technologies for data analytics, including SQL, Python, Tableau, Power BI, and cloud-based data platforms.

  8. What is the interview process for this role?

    The interview process typically includes a phone screening, a virtual interview with the hiring manager, and an in-person interview with the team.

  9. Are there opportunities to work on projects related to AI and machine learning?

    Yes, this role will involve identifying and implementing opportunities to apply AI and machine learning to enhance analytics, forecasting, and decision support.

  10. How does Skechers support work-life balance?

    Skechers offers various benefits and programs to support work-life balance, including flexible work arrangements, paid time off, and wellness resources.

Locations

  • Hermosa Beach, California, United States

Salary

Estimated Salary Rangemedium confidence

154,000 - 231,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Data Product Strategyintermediate
  • Data Deliveryintermediate
  • AIintermediate
  • Machine Learningintermediate
  • Generative AIintermediate
  • Dashboard Designintermediate
  • Data Visualizationintermediate
  • Data Storytellingintermediate
  • Data Understandingintermediate
  • Metric Alignmentintermediate
  • Cross-Functional Collaborationintermediate
  • Data Qualityintermediate
  • Continuous Improvementintermediate
  • Business Acumenintermediate
  • Stakeholder Managementintermediate
  • SQLintermediate
  • Pythonintermediate
  • Tableauintermediate
  • Power BIintermediate
  • Data Modelingintermediate
  • ETL Processesintermediate
  • Cloud Computing (AWS, Azure, GCP)intermediate
  • Statistical Analysisintermediate
  • A/B Testingintermediate
  • Agile Methodologiesintermediate

Required Qualifications

  • Demonstrated ability to design and deliver high-quality dashboards and data visualizations that support business decision-making. (experience)
  • Strong working proficiency in structuring, interpreting, and applying data to solve business problems and drive measurable outcomes. (experience)
  • Experience in defining and executing data and analytics product roadmaps aligned to business priorities. (experience)
  • Proven ability to translate business needs into structured data solutions, dashboards, and actionable insights. (experience)
  • Experience driving adoption, usage, and measurable business value from data products. (experience)
  • Ability to balance long-term strategy with immediate business priorities. (experience)
  • Experience in identifying and implementing opportunities to apply AI, Machine Learning, and Generative AI to enhance analytics, forecasting, and decision support. (experience)
  • Experience working with technical teams to embed intelligent insights and automation into data products. (experience)
  • Ability to promote the use of modern analytics to improve business planning and performance visibility. (experience)
  • Strong understanding of business data and how it supports operations and decision-making. (experience)
  • Experience defining and standardizing business metrics, reporting logic, and data interpretation. (experience)
  • Ability to ensure consistency and clarity across dashboards and analytics outputs. (experience)
  • Experience acting as a bridge between business, analytics, and technology teams. (experience)
  • Proven ability to lead requirement gathering, prioritization, and execution across initiatives. (experience)
  • Excellent communication skills, with the ability to communicate clearly with both technical and non-technical stakeholders. (experience)
  • Experience ensuring data accuracy, consistency, and reliability in reporting and analytics. (experience)
  • Experience driving improvements in data usability, accessibility, and trust. (experience)
  • Ability to promote best practices for data and analytics across the organization. (experience)

Responsibilities

  • Define and execute the roadmap for data and analytics products aligned to business priorities.
  • Translate business needs into structured data solutions, dashboards, and insights.
  • Drive adoption, usage, and measurable business value from data products.
  • Balance long-term strategy with immediate business priorities.
  • Identify and implement opportunities to apply Artificial Intelligence (AI), Machine Learning, and Generative AI to enhance analytics, forecasting, and decision support.
  • Work with technical teams to embed intelligent insights and automation into data products.
  • Promote the use of modern analytics to improve business planning and performance visibility.
  • Lead the design and delivery of clear, intuitive, and decision-focused dashboards.
  • Translate complex data into meaningful visual insights for business and leadership.
  • Ensure dashboards are reliable, easy to use, and aligned with business metrics.
  • Apply best practices in data storytelling and visualization.
  • Develop deep understanding of business data and how it supports operations and decision-making.
  • Define and standardize business metrics, reporting logic, and data interpretation.
  • Ensure consistency and clarity across dashboards and analytics outputs.
  • Act as a bridge between business, analytics, and technology teams.
  • Lead requirement gathering, prioritization, and execution across initiatives.
  • Communicate clearly with both technical and non-technical stakeholders.
  • Ensure data accuracy, consistency, and reliability in reporting and analytics.
  • Drive improvements in data usability, accessibility, and trust.
  • Promote best practices for data and analytics across the organization.

Benefits

  • general: Competitive salary and performance-based bonuses.
  • general: Comprehensive health insurance coverage, including medical, dental, and vision.
  • general: Paid time off, including vacation, sick leave, and holidays.
  • general: Generous employee discount on Skechers products.
  • general: 401(k) retirement plan with company match.
  • general: Employee stock purchase plan.
  • general: Life insurance and disability coverage.
  • general: Flexible spending accounts for healthcare and dependent care.
  • general: Wellness programs and resources.
  • general: Professional development opportunities and training programs.
  • general: Employee assistance program (EAP).
  • general: Commuter benefits.
  • general: Onsite gym and fitness classes.
  • general: Cafeteria or subsidized meals.
  • general: Opportunities for advancement within the company.
  • general: A collaborative and supportive work environment.
  • general: Employee recognition programs.
  • general: Company-sponsored events and activities.

Target Your Resume for "High-CTR: Sr. Data Product Manager Careers at Skechers - Hermosa Beach, California | Apply Now!" , Skechers

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Tags & Categories

Data ProductAI/MLAnalyticsHermosa BeachSkechersData Product ManagerSenior Data Product ManagerData AnalyticsAIMachine LearningGenerative AIDashboard DesignData VisualizationData StorytellingCaliforniaSkechers CareersData StrategyData InsightsData ModelingSQLPythonTableauPower BIAnalytics ManagerBusiness IntelligenceData ScienceCareer OpportunityHybrid RoleComfort Technology CompanyData GovernanceETLCloud ComputingRetailSalesCustomer ServiceManagement

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Skechers logo

High-CTR: Sr. Data Product Manager Careers at Skechers - Hermosa Beach, California | Apply Now!

Skechers

High-CTR: Sr. Data Product Manager Careers at Skechers - Hermosa Beach, California | Apply Now!

full-timePosted: Feb 17, 2026

Job Description

Sr. Data Product Manager at Skechers: Drive Data-Driven Decisions

Are you an experienced data product leader passionate about transforming raw data into actionable insights? Skechers, The Comfort Technology Company®, is seeking a Senior Data Product Manager to spearhead the strategy, design, and delivery of enterprise data and analytics solutions. This hybrid role, based in beautiful Hermosa Beach, California, offers the opportunity to shape the future of data-driven decision-making within a global lifestyle brand.

Role Overview

As a Senior Data Product Manager, you will be the driving force behind Skechers' data and analytics initiatives. You will translate business needs into impactful data products, enabling informed decision-making through clear dashboards, strong data foundations, and modern analytics capabilities. Your expertise in AI, Machine Learning, and Generative AI will be crucial in enhancing analytics, forecasting, and decision support.

A Day in the Life

Here’s a glimpse into your daily activities:

  • Collaborate with business stakeholders to understand their data needs and challenges.
  • Define and prioritize data product roadmap initiatives.
  • Design and develop intuitive dashboards and data visualizations.
  • Work with data engineers to ensure data quality and accessibility.
  • Explore opportunities to leverage AI and machine learning to improve business outcomes.
  • Communicate data insights and recommendations to stakeholders.
  • Monitor the performance of data products and identify areas for improvement.
  • Stay up-to-date on the latest trends in data analytics and product management.

Why Hermosa Beach?

Hermosa Beach offers a vibrant coastal lifestyle with a thriving tech community. Imagine working just steps from the beach, enjoying the Southern California sunshine, and collaborating with a team of talented professionals. The location provides a unique blend of work and play, making it an ideal place to advance your career while enjoying a high quality of life. This hybrid role requires 2 days per week onsite, allowing for a balance of collaboration and focused work time.

Career Path

Skechers is committed to employee growth and development. This Senior Data Product Manager role can be a springboard to further career advancement within the organization. Potential career paths include:

  • Director of Data Products
  • VP of Analytics
  • Chief Data Officer

Salary & Benefits

The estimated salary range for this position is $140,000 to $210,000 annually. Skechers also offers a comprehensive benefits package, including:

  • Competitive salary and performance-based bonuses.
  • Comprehensive health insurance coverage, including medical, dental, and vision.
  • Paid time off, including vacation, sick leave, and holidays.
  • Generous employee discount on Skechers products.
  • 401(k) retirement plan with company match.
  • Employee stock purchase plan.
  • Life insurance and disability coverage.
  • Flexible spending accounts for healthcare and dependent care.
  • Wellness programs and resources.
  • Professional development opportunities and training programs.
  • Employee assistance program (EAP).
  • Commuter benefits.
  • Onsite gym and fitness classes.
  • Cafeteria or subsidized meals.
  • Opportunities for advancement within the company.
  • A collaborative and supportive work environment.
  • Employee recognition programs.
  • Company-sponsored events and activities.

Skechers Culture

Skechers is a dynamic and innovative company with a strong emphasis on comfort, style, and quality. The company fosters a collaborative and supportive work environment where employees are encouraged to contribute their ideas and make a difference. Skechers values diversity and inclusion and is committed to creating a workplace where everyone feels welcome and respected.

How to Apply

If you are a data-driven leader with a passion for innovation and a desire to make a significant impact, we encourage you to apply for the Senior Data Product Manager position at Skechers. Please submit your resume and cover letter through the Skechers careers website.

FAQ

  1. What is the hybrid work schedule for this role?

    This position requires 2 days per week onsite in Hermosa Beach, CA.

  2. What are the key skills and qualifications for this role?

    Key skills include data product strategy, dashboard design, data visualization, AI/ML experience, and strong communication skills. Qualifications include experience in defining and executing data product roadmaps, translating business needs into data solutions, and driving adoption of data products.

  3. What opportunities are there for professional development at Skechers?

    Skechers offers various professional development opportunities, including training programs, conferences, and mentorship programs.

  4. What is the company culture like at Skechers?

    Skechers fosters a collaborative and supportive work environment where employees are encouraged to contribute their ideas and make a difference. The company values diversity and inclusion.

  5. What is the employee discount on Skechers products?

    Skechers offers a generous employee discount on its products.

  6. What types of data will I be working with?

    You will be working with a wide range of data, including sales data, marketing data, customer data, and supply chain data.

  7. What tools and technologies are used for data analytics at Skechers?

    Skechers uses a variety of tools and technologies for data analytics, including SQL, Python, Tableau, Power BI, and cloud-based data platforms.

  8. What is the interview process for this role?

    The interview process typically includes a phone screening, a virtual interview with the hiring manager, and an in-person interview with the team.

  9. Are there opportunities to work on projects related to AI and machine learning?

    Yes, this role will involve identifying and implementing opportunities to apply AI and machine learning to enhance analytics, forecasting, and decision support.

  10. How does Skechers support work-life balance?

    Skechers offers various benefits and programs to support work-life balance, including flexible work arrangements, paid time off, and wellness resources.

Locations

  • Hermosa Beach, California, United States

Salary

Estimated Salary Rangemedium confidence

154,000 - 231,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Data Product Strategyintermediate
  • Data Deliveryintermediate
  • AIintermediate
  • Machine Learningintermediate
  • Generative AIintermediate
  • Dashboard Designintermediate
  • Data Visualizationintermediate
  • Data Storytellingintermediate
  • Data Understandingintermediate
  • Metric Alignmentintermediate
  • Cross-Functional Collaborationintermediate
  • Data Qualityintermediate
  • Continuous Improvementintermediate
  • Business Acumenintermediate
  • Stakeholder Managementintermediate
  • SQLintermediate
  • Pythonintermediate
  • Tableauintermediate
  • Power BIintermediate
  • Data Modelingintermediate
  • ETL Processesintermediate
  • Cloud Computing (AWS, Azure, GCP)intermediate
  • Statistical Analysisintermediate
  • A/B Testingintermediate
  • Agile Methodologiesintermediate

Required Qualifications

  • Demonstrated ability to design and deliver high-quality dashboards and data visualizations that support business decision-making. (experience)
  • Strong working proficiency in structuring, interpreting, and applying data to solve business problems and drive measurable outcomes. (experience)
  • Experience in defining and executing data and analytics product roadmaps aligned to business priorities. (experience)
  • Proven ability to translate business needs into structured data solutions, dashboards, and actionable insights. (experience)
  • Experience driving adoption, usage, and measurable business value from data products. (experience)
  • Ability to balance long-term strategy with immediate business priorities. (experience)
  • Experience in identifying and implementing opportunities to apply AI, Machine Learning, and Generative AI to enhance analytics, forecasting, and decision support. (experience)
  • Experience working with technical teams to embed intelligent insights and automation into data products. (experience)
  • Ability to promote the use of modern analytics to improve business planning and performance visibility. (experience)
  • Strong understanding of business data and how it supports operations and decision-making. (experience)
  • Experience defining and standardizing business metrics, reporting logic, and data interpretation. (experience)
  • Ability to ensure consistency and clarity across dashboards and analytics outputs. (experience)
  • Experience acting as a bridge between business, analytics, and technology teams. (experience)
  • Proven ability to lead requirement gathering, prioritization, and execution across initiatives. (experience)
  • Excellent communication skills, with the ability to communicate clearly with both technical and non-technical stakeholders. (experience)
  • Experience ensuring data accuracy, consistency, and reliability in reporting and analytics. (experience)
  • Experience driving improvements in data usability, accessibility, and trust. (experience)
  • Ability to promote best practices for data and analytics across the organization. (experience)

Responsibilities

  • Define and execute the roadmap for data and analytics products aligned to business priorities.
  • Translate business needs into structured data solutions, dashboards, and insights.
  • Drive adoption, usage, and measurable business value from data products.
  • Balance long-term strategy with immediate business priorities.
  • Identify and implement opportunities to apply Artificial Intelligence (AI), Machine Learning, and Generative AI to enhance analytics, forecasting, and decision support.
  • Work with technical teams to embed intelligent insights and automation into data products.
  • Promote the use of modern analytics to improve business planning and performance visibility.
  • Lead the design and delivery of clear, intuitive, and decision-focused dashboards.
  • Translate complex data into meaningful visual insights for business and leadership.
  • Ensure dashboards are reliable, easy to use, and aligned with business metrics.
  • Apply best practices in data storytelling and visualization.
  • Develop deep understanding of business data and how it supports operations and decision-making.
  • Define and standardize business metrics, reporting logic, and data interpretation.
  • Ensure consistency and clarity across dashboards and analytics outputs.
  • Act as a bridge between business, analytics, and technology teams.
  • Lead requirement gathering, prioritization, and execution across initiatives.
  • Communicate clearly with both technical and non-technical stakeholders.
  • Ensure data accuracy, consistency, and reliability in reporting and analytics.
  • Drive improvements in data usability, accessibility, and trust.
  • Promote best practices for data and analytics across the organization.

Benefits

  • general: Competitive salary and performance-based bonuses.
  • general: Comprehensive health insurance coverage, including medical, dental, and vision.
  • general: Paid time off, including vacation, sick leave, and holidays.
  • general: Generous employee discount on Skechers products.
  • general: 401(k) retirement plan with company match.
  • general: Employee stock purchase plan.
  • general: Life insurance and disability coverage.
  • general: Flexible spending accounts for healthcare and dependent care.
  • general: Wellness programs and resources.
  • general: Professional development opportunities and training programs.
  • general: Employee assistance program (EAP).
  • general: Commuter benefits.
  • general: Onsite gym and fitness classes.
  • general: Cafeteria or subsidized meals.
  • general: Opportunities for advancement within the company.
  • general: A collaborative and supportive work environment.
  • general: Employee recognition programs.
  • general: Company-sponsored events and activities.

Target Your Resume for "High-CTR: Sr. Data Product Manager Careers at Skechers - Hermosa Beach, California | Apply Now!" , Skechers

Get personalized recommendations to optimize your resume specifically for High-CTR: Sr. Data Product Manager Careers at Skechers - Hermosa Beach, California | Apply Now!. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "High-CTR: Sr. Data Product Manager Careers at Skechers - Hermosa Beach, California | Apply Now!" , Skechers

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Data ProductAI/MLAnalyticsHermosa BeachSkechersData Product ManagerSenior Data Product ManagerData AnalyticsAIMachine LearningGenerative AIDashboard DesignData VisualizationData StorytellingCaliforniaSkechers CareersData StrategyData InsightsData ModelingSQLPythonTableauPower BIAnalytics ManagerBusiness IntelligenceData ScienceCareer OpportunityHybrid RoleComfort Technology CompanyData GovernanceETLCloud ComputingRetailSalesCustomer ServiceManagement

Answer 10 quick questions to check your fit for High-CTR: Sr. Data Product Manager Careers at Skechers - Hermosa Beach, California | Apply Now! @ Skechers.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

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