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Senior Technical Product Manager - Analytics Platform

Wise

Senior Technical Product Manager - Analytics Platform

Wise logo

Wise

full-time

Posted: December 16, 2025

Number of Vacancies: 1

Job Description

Senior Technical Product Manager - Analytics Platform

Location: Global

Team: General

About the Role

Wise is a global technology company revolutionizing how the world moves and manages money with minimal fees, maximum ease, and full speed. As a Senior Technical Product Manager - Analytics Platform, you'll own the strategy and roadmap for our analytics teams within the Platform tribe, driving a unified, high-quality data ecosystem that powers data-driven decisions across the organisation. Your work will enable engineers to deliver features faster while ensuring scalable data access for all teams. In this role, you'll develop a deep understanding of stakeholder needs across the analytics data lifecycle, prioritise high-impact workflows, and collaborate with engineering to integrate with data discovery, governance, and analytics tools. Fostering innovation and self-service capabilities, you'll translate complex requirements into actionable roadmaps, measure success through OKRs, and promote a data-driven culture at scale. Join our global, flexible team to make a major impact on Wise's mission, working on cutting-edge platform technologies in a collaborative environment that values creativity, ownership, and continuous learning.

Key Responsibilities

  • Own and drive the long-term strategy for the analytics platform
  • Build and maintain relationships with stakeholders and data users across the organisation
  • Foster a data-driven culture through continuous improvement of data repositories
  • Utilise OKRs and agile methodologies for alignment, prioritization, and outcome measurement
  • Collaborate cross-functionally with Product Managers, Engineering Leads, and technical teams
  • Develop comprehensive understanding of stakeholder needs in the analytics data lifecycle
  • Proactively identify, prioritise, and execute workflows to automate tedious tasks
  • Prioritise self-service capabilities to improve user experience on analytics platforms

Required Qualifications

  • Passion for the entire product development lifecycle and strong affinity for data
  • Comfortable working across technical domains including cloud offerings, cloud-native technologies, data engineering, and analytics
  • Adept at understanding trade-offs between platform technologies and communicating them clearly
  • Comfortable collaborating with engineers, business users, data engineering, analytics, or data science teams
  • Strong analytical skills to navigate complex system-design challenges using quantitative and qualitative information
  • Creativity in problem-solving with ability to simplify complex technical concepts

Preferred Qualifications

  • Familiarity with Looker and Superset or other BI tools
  • Experience in platform engineering or developer tools
  • Background in data platforms or analytics infrastructure

Required Skills

  • Product strategy and roadmap ownership
  • Stakeholder collaboration and management
  • Data engineering and analytics knowledge
  • Cloud and cloud-native technologies
  • BI tools (Looker, Superset)
  • Analytical problem-solving
  • Agile and OKR methodologies
  • Cross-functional team collaboration
  • Technical trade-off evaluation
  • Self-service platform development

Benefits

  • RSUs (stock options)
  • Flexible working
  • Parental leave
  • Learning budget
  • Paid sabbatical after 4 years
  • Health insurance
  • Company retreat
  • Wise card

Wise is an equal opportunity employer committed to building a diverse workforce.

Locations

  • Global, Global

Salary

Estimated Salary Rangemedium confidence

220,000 - 350,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Product strategy and roadmap ownershipintermediate
  • Stakeholder collaboration and managementintermediate
  • Data engineering and analytics knowledgeintermediate
  • Cloud and cloud-native technologiesintermediate
  • BI tools (Looker, Superset)intermediate
  • Analytical problem-solvingintermediate
  • Agile and OKR methodologiesintermediate
  • Cross-functional team collaborationintermediate
  • Technical trade-off evaluationintermediate
  • Self-service platform developmentintermediate

Required Qualifications

  • Passion for the entire product development lifecycle and strong affinity for data (experience)
  • Comfortable working across technical domains including cloud offerings, cloud-native technologies, data engineering, and analytics (experience)
  • Adept at understanding trade-offs between platform technologies and communicating them clearly (experience)
  • Comfortable collaborating with engineers, business users, data engineering, analytics, or data science teams (experience)
  • Strong analytical skills to navigate complex system-design challenges using quantitative and qualitative information (experience)
  • Creativity in problem-solving with ability to simplify complex technical concepts (experience)

Preferred Qualifications

  • Familiarity with Looker and Superset or other BI tools (experience)
  • Experience in platform engineering or developer tools (experience)
  • Background in data platforms or analytics infrastructure (experience)

Responsibilities

  • Own and drive the long-term strategy for the analytics platform
  • Build and maintain relationships with stakeholders and data users across the organisation
  • Foster a data-driven culture through continuous improvement of data repositories
  • Utilise OKRs and agile methodologies for alignment, prioritization, and outcome measurement
  • Collaborate cross-functionally with Product Managers, Engineering Leads, and technical teams
  • Develop comprehensive understanding of stakeholder needs in the analytics data lifecycle
  • Proactively identify, prioritise, and execute workflows to automate tedious tasks
  • Prioritise self-service capabilities to improve user experience on analytics platforms

Benefits

  • general: RSUs (stock options)
  • general: Flexible working
  • general: Parental leave
  • general: Learning budget
  • general: Paid sabbatical after 4 years
  • general: Health insurance
  • general: Company retreat
  • general: Wise card

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Wise logo

Senior Technical Product Manager - Analytics Platform

Wise

Senior Technical Product Manager - Analytics Platform

Wise logo

Wise

full-time

Posted: December 16, 2025

Number of Vacancies: 1

Job Description

Senior Technical Product Manager - Analytics Platform

Location: Global

Team: General

About the Role

Wise is a global technology company revolutionizing how the world moves and manages money with minimal fees, maximum ease, and full speed. As a Senior Technical Product Manager - Analytics Platform, you'll own the strategy and roadmap for our analytics teams within the Platform tribe, driving a unified, high-quality data ecosystem that powers data-driven decisions across the organisation. Your work will enable engineers to deliver features faster while ensuring scalable data access for all teams. In this role, you'll develop a deep understanding of stakeholder needs across the analytics data lifecycle, prioritise high-impact workflows, and collaborate with engineering to integrate with data discovery, governance, and analytics tools. Fostering innovation and self-service capabilities, you'll translate complex requirements into actionable roadmaps, measure success through OKRs, and promote a data-driven culture at scale. Join our global, flexible team to make a major impact on Wise's mission, working on cutting-edge platform technologies in a collaborative environment that values creativity, ownership, and continuous learning.

Key Responsibilities

  • Own and drive the long-term strategy for the analytics platform
  • Build and maintain relationships with stakeholders and data users across the organisation
  • Foster a data-driven culture through continuous improvement of data repositories
  • Utilise OKRs and agile methodologies for alignment, prioritization, and outcome measurement
  • Collaborate cross-functionally with Product Managers, Engineering Leads, and technical teams
  • Develop comprehensive understanding of stakeholder needs in the analytics data lifecycle
  • Proactively identify, prioritise, and execute workflows to automate tedious tasks
  • Prioritise self-service capabilities to improve user experience on analytics platforms

Required Qualifications

  • Passion for the entire product development lifecycle and strong affinity for data
  • Comfortable working across technical domains including cloud offerings, cloud-native technologies, data engineering, and analytics
  • Adept at understanding trade-offs between platform technologies and communicating them clearly
  • Comfortable collaborating with engineers, business users, data engineering, analytics, or data science teams
  • Strong analytical skills to navigate complex system-design challenges using quantitative and qualitative information
  • Creativity in problem-solving with ability to simplify complex technical concepts

Preferred Qualifications

  • Familiarity with Looker and Superset or other BI tools
  • Experience in platform engineering or developer tools
  • Background in data platforms or analytics infrastructure

Required Skills

  • Product strategy and roadmap ownership
  • Stakeholder collaboration and management
  • Data engineering and analytics knowledge
  • Cloud and cloud-native technologies
  • BI tools (Looker, Superset)
  • Analytical problem-solving
  • Agile and OKR methodologies
  • Cross-functional team collaboration
  • Technical trade-off evaluation
  • Self-service platform development

Benefits

  • RSUs (stock options)
  • Flexible working
  • Parental leave
  • Learning budget
  • Paid sabbatical after 4 years
  • Health insurance
  • Company retreat
  • Wise card

Wise is an equal opportunity employer committed to building a diverse workforce.

Locations

  • Global, Global

Salary

Estimated Salary Rangemedium confidence

220,000 - 350,000 USD / yearly

Source: ai estimated

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

Skills Required

  • Product strategy and roadmap ownershipintermediate
  • Stakeholder collaboration and managementintermediate
  • Data engineering and analytics knowledgeintermediate
  • Cloud and cloud-native technologiesintermediate
  • BI tools (Looker, Superset)intermediate
  • Analytical problem-solvingintermediate
  • Agile and OKR methodologiesintermediate
  • Cross-functional team collaborationintermediate
  • Technical trade-off evaluationintermediate
  • Self-service platform developmentintermediate

Required Qualifications

  • Passion for the entire product development lifecycle and strong affinity for data (experience)
  • Comfortable working across technical domains including cloud offerings, cloud-native technologies, data engineering, and analytics (experience)
  • Adept at understanding trade-offs between platform technologies and communicating them clearly (experience)
  • Comfortable collaborating with engineers, business users, data engineering, analytics, or data science teams (experience)
  • Strong analytical skills to navigate complex system-design challenges using quantitative and qualitative information (experience)
  • Creativity in problem-solving with ability to simplify complex technical concepts (experience)

Preferred Qualifications

  • Familiarity with Looker and Superset or other BI tools (experience)
  • Experience in platform engineering or developer tools (experience)
  • Background in data platforms or analytics infrastructure (experience)

Responsibilities

  • Own and drive the long-term strategy for the analytics platform
  • Build and maintain relationships with stakeholders and data users across the organisation
  • Foster a data-driven culture through continuous improvement of data repositories
  • Utilise OKRs and agile methodologies for alignment, prioritization, and outcome measurement
  • Collaborate cross-functionally with Product Managers, Engineering Leads, and technical teams
  • Develop comprehensive understanding of stakeholder needs in the analytics data lifecycle
  • Proactively identify, prioritise, and execute workflows to automate tedious tasks
  • Prioritise self-service capabilities to improve user experience on analytics platforms

Benefits

  • general: RSUs (stock options)
  • general: Flexible working
  • general: Parental leave
  • general: Learning budget
  • general: Paid sabbatical after 4 years
  • general: Health insurance
  • general: Company retreat
  • general: Wise card

Target Your Resume for "Senior Technical Product Manager - Analytics Platform" , Wise

Get personalized recommendations to optimize your resume specifically for Senior Technical Product Manager - Analytics Platform. Takes only 15 seconds!

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

Check Your ATS Score for "Senior Technical Product Manager - Analytics Platform" , Wise

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

WiseFintechGeneralGlobalGlobalGeneral

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