CrawlJobs Logo

Algorithm / Data-Driven Product Manager

https://www.randstad.com Logo

Randstad

Location Icon

Location:
Japan , 東京23区

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

10000000.00 - 15000000.00 JPY / Year
Save Job
Save Icon
Apply Position

Job Description:

Drive data-driven product innovation and shape the future of our platform as Product Manager. About the company Our client is a dynamic platform company at the forefront of technological advancement. They are dedicated to leveraging data and algorithms to create cutting-edge solutions and enhance user experiences. Role & Responsibilities As a Senior Product Manager, you will take ownership of the product lifecycle, focusing on algorithm and data-driven features. Also collaborate closely with teams to define product strategy, translate complex data insights into actionable product requirements, and guide the development of impactful features. Main tasks include: define and execute the product roadmap for algorithm and data-driven initiatives; translate business and user needs into detailed product specifications; collaborate with data science and engineering teams on algorithm development and implementation; analyze product performance metrics and user feedback to identify areas for improvement; conduct market research and competitive analysis to inform product strategy; manage the product backlog and prioritize features based on business value and technical feasibility; ensure successful product launches and iterate based on performance data.

Job Responsibility:

  • Define and execute the product roadmap for algorithm and data-driven initiatives
  • Translate business and user needs into detailed product specifications
  • Collaborate with data science and engineering teams on algorithm development and implementation
  • Analyze product performance metrics and user feedback to identify areas for improvement
  • Conduct market research and competitive analysis to inform product strategy
  • Manage the product backlog and prioritize features based on business value and technical feasibility
  • Ensure successful product launches and iterate based on performance data

Requirements:

  • Product management experience
  • Data analysis or SQL skills
  • Business level or above of English
  • Fluent Japanese
  • Experience with AI/Algorithms
  • Experience in SaaS/Travel tech
  • Agile environment experience

Nice to have:

  • Experience with AI/Algorithms
  • Experience in SaaS/Travel tech
  • Agile environment experience
What we offer:
  • 健康保険
  • 厚生年金保険
  • 雇用保険

Additional Information:

Job Posted:
May 11, 2026

Expiration:
March 26, 2027

Employment Type:
Fulltime
Work Type:
Hybrid work
Icon
Randstad - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Algorithm / Data-Driven Product Manager

Vice President Data Product Owner

Embark on a transformative journey as Vice President Data Product Owner (IRM & C...
Location
Location
India , Pune
Salary
Salary:
Not provided
barclays.co.uk Logo
Barclays
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Act as the primary liaison for senior stakeholders across technology, operations, and business units
  • Influence decision-making and secure alignment on product priorities and investments
  • Own and manage the product backlog, ensuring clear prioritization and timely delivery
  • Oversee release planning, sprint prioritization, and coordination of cross-team dependencies
  • Ensure adherence to data governance principles, privacy regulations, and security standards
  • Identify and mitigate risks associated with product development and delivery
  • Track adoption, usage, and performance metrics to assess product success
  • Recommend enhancements based on data-driven insights and emerging technologies
  • Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data
  • Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures
Job Responsibility
Job Responsibility
  • Spearhead the evolution of defining and executing the strategy, vision, and roadmap for data products that enable Barclays to leverage data as a strategic asset
  • This role ensures that data products deliver measurable business value, comply with governance standards, and support innovation across multiple business domains
What we offer
What we offer
  • Competitive holiday allowance
  • Life assurance
  • Private medical care
  • Pension contribution
  • Fulltime
Read More
Arrow Right

Senior Manager, Technology Operations, Product Strategy - WFS

We are looking for a strong leader to help build and scale our Walmart Fulfillme...
Location
Location
United States of America , Bentonville
Salary
Salary:
90000.00 - 180000.00 USD / Year
walmart.com Logo
Walmart
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Option 1: Bachelor's degree in computer science, management information systems, industrial engineering, engineering management, business,information systems, project/program management, information technology, finance, management, or related area and 5 years’ experience inproject management, program management, program operations, or related area.
  • Option 2: 7 years’ experience in project management, program management, program operations, or related area.
  • 2 years’ supervisory experience.
Job Responsibility
Job Responsibility
  • Leads the development and execution of advanced analytics to address unique business and technical problems and support data-driven decision making.
  • Makes strategic recommendations to cross-functional leadership based on analysis results, and influences roadmap prioritization of partner teams.
  • Owns complex projects end-to-end for a business area
  • manages risks associated with implementation.
  • Develops data models (algorithms, approaches) for complex projects within a business area to drive business results and value.
  • Presents findings and recommendations to senior leadership.
  • Coaches team members and provides feedback to enhance skills, knowledge, and work performance.
  • Collaborates with cross-functional teams to drive a highly complex business area or one with high strategic importance to Walmart.
  • Navigates partner team dynamics and works across multiple sites.
  • Has accountability for the performance and results of the team in a highly complex business area or category.
What we offer
What we offer
  • Health benefits include medical, vision and dental coverage.
  • Financial benefits include 401(k), stock purchase and company-paid life insurance.
  • Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
  • Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
  • Live Better U is a Walmart-paid education benefit program for full-time and part-time associates.
  • Additional compensation includes annual or quarterly performance bonuses.
  • Additional compensation for certain positions may also include: Stock.
  • Fulltime
Read More
Arrow Right

Investor Services – Product Developer and Business Data Analyst (Vice President)

We are seeking a creative and business-oriented Product Developer to join our In...
Location
Location
Ireland , Dublin
Salary
Salary:
85600.00 - 128400.00 EUR / Year
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience: In a product-oriented role involving data science or business intelligence, preferably within financial services. Demonstrable experience in developing and delivering data-driven solutions or products is essential.
  • Education: Bachelor's or Master's degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, or Finance.
  • Technical Product Development Skills: Equal proficiency in building data products and visualizations using both BI platforms (Tableau, Qlik) and data science languages (Python, R).
  • Strong knowledge of SQL and experience with big data tools and cloud platforms.
  • Solid understanding of the principles of statistical modeling and machine learning algorithms.
  • Domain Knowledge: A strong grasp of custody and fund services processes, including securities settlement, fund valuation, risk management, and compliance.
  • Product Mindset: Excellent communication skills with a proven ability to translate complex data concepts into clear business value. A track record of solving problems and delivering solutions in a fast-paced, global environment.
Job Responsibility
Job Responsibility
  • Data Product Development: Design, develop, and manage the lifecycle of data products. This includes performing large-scale analysis and using machine learning to create predictive models, as well as building insightful and interactive dashboards using BI tools like Qlik and Tableau.
  • Translate Business Needs into Products: Work directly with business stakeholders to understand their challenges. Define product requirements and translate them into functional specifications for data science models and BI solutions.
  • End-to-End Solution Ownership: Guide the development process from initial design and prototyping through to productionizing robust, scalable data products that address real-world problems across Investor Services.
  • Stakeholder Collaboration: Act as a bridge between business and technology teams. Work closely with product managers, operations, risk, and compliance to ensure developed products are integrated effectively into daily workflows.
  • Communicate Product Value: Clearly articulate the features and benefits of your data products to non-technical audiences through compelling presentations, reports, and interactive visualizations.
  • Innovation and Strategy: Proactively identify opportunities where data science and BI can create new products or enhance existing ones. Stay current with emerging technologies to inform product strategy.
What we offer
What we offer
  • Opportunity to work on cutting-edge data products in a leading global financial services firm.
  • A comprehensive benefits package including health insurance, retirement plans, and professional development opportunities.
  • A collaborative, inclusive culture that values innovation and work-life balance.
  • Fulltime
Read More
Arrow Right

Data Scientist

At Vodafone, we’re not just shaping the future of connectivity for our customers...
Location
Location
Italy , Milano
Salary
Salary:
Not provided
vodafone.com Logo
Vodafone
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Degree in Computer Science, Maths, Engineering or equivalent
  • Junior Profile with Experience in similar position (Max 2 years)
  • SQL, Python (Pandas, Tensorflow, Scikit-learn, and main other ML libs), Pyspark and SW development capabilities
  • Machine learning algorithms knowledge (NLP, Neural Networks., Random Forest, SVM, Anomaly Detection especially on time series, Gradient Boost and all other main ML models both supervised and unsupervised)
  • Knowledge of deployment best practices and DevOps pipeline
  • Excellent analytics and mathematics skills
  • Professional English (spoken and written)
  • Experience in Machine Learning SW development and data analysis
  • Experience in designing and implementing use cases over big data architectures involving massive data volume, also under real-time constraints
  • Knowledge of pros and cons of existing data storage technologies (relational DB, Big Data Frameworks, no-SQL DB on cloud and on prem)
Job Responsibility
Job Responsibility
  • Identification of data science / big data / analytics use cases for Network Operations and architectural High Level Design
  • Choice and implementation of the best machine learning algorithm suited to the use case
  • Industrialization of the use cases on Cloudera, Openshift/Kubernetes or on AWS/Google cloud environments, with the support of data engineers
  • Technical leadership in analysis and data management domains
  • Data-driven evaluation of vendor product adoption
Read More
Arrow Right

Principal Data Scientist

Microsoft AI (MAI) creates innovative AI-powered and personalized web experience...
Location
Location
United States , Redmond
Salary
Salary:
139900.00 - 274800.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience
  • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience
  • OR equivalent experience
  • 7+ years experience in data science modeling, statistics, analytics, business intelligence, or data-driven business strategy
  • Previous product analytics, web analytics and or content analytics experience
  • Interpersonal communication and ability to leverage the data to tell a story
  • Demonstrated stakeholder management ability including effective prioritization, clear and concise communication, and delivery of actionable data-driven insights
  • Knowledge on big data processing from raw events to metrics and insights (PySpark/Scala)
  • Knowledge of Content ecosystem, Ads and online shopping metrics
Job Responsibility
Job Responsibility
  • Work with a host of engaged stakeholders who value your skills and consider you a thought partner in driving the business
  • Collaborate with cross-functional teams to understand features, estimate impacts and drive engagement improvements based on insights from big data
  • Enhance products by evaluating performance metrics and user feedback
  • Develop self-service dashboards and reports for various stakeholders using reporting platforms
  • Analyze large datasets to identify patterns, trends, and content performance to improve the relevance and quality of our recommendation systems
  • Build a metrics system to measure Business Health and quickly identify the root cause when metrics move
  • Conduct business modeling to identify growth opportunities and initiate projects with a positive long-term ROI
  • Design and conduct A/B tests to evaluate algorithm performance and propose iterative improvements based on the results
  • Effectively communicate findings, insights, and recommendations to both technical and non-technical stakeholders, enabling informed decision-making
  • Fulltime
Read More
Arrow Right

Data Engineer

Join Blue Ridge Care as a Data Engineer. At Blue Ridge Care, we deliver extraord...
Location
Location
United States , Winchester
Salary
Salary:
90000.00 - 140000.00 USD / Year
brhospice.org Logo
Blue Ridge Hospice
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • A bachelor’s or master’s degree in computer science, data science, software engineering, information systems, or related quantitative field
  • At least two years of work experience in data management disciplines, including data integration, modeling, optimization and data quality
  • Proven project experience developing and maintaining data warehouses in big data solutions
  • Ability to design, build, and deploy data solutions that capture, explore, transform, and utilize data to support AI, ML, and BI tools
  • Strong ability in programming languages such as Python, Java, and C/C++ with experience writing production code
  • Ability in data science languages/tools such as SQL, R, SAS, or Excel
  • Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP) and modern data warehouse tools (Snowflake, Databricks, Microsoft Fabric)
  • Experience with database technologies such as SQL, Oracle, Hadoop, or Teradata
  • Ability to collaborate within and across teams of different technical knowledge to support delivery and educate end users on data products
  • Ability to communicate complex technical concepts to non-technical stakeholders
Job Responsibility
Job Responsibility
  • Designs and develops data pipelines that extract data from various sources, transforms it into the desired format, and loads it into the appropriate data storage systems using CI/CD tools and practices
  • Integrates data from different sources, including databases, data warehouses, APIs, and external systems
  • Creates robust data models and architectures to support analytics initiatives
  • Collaborates with business stakeholders to understand their analytics needs and delivers comprehensive reports, dashboards, and models
  • Collaborates with data analysts to optimize models and algorithms for data quality, security, and governance
  • Ensures data consistency and integrity during the integration process, performing data validation and cleaning as needed
  • Ensures all data engineering activities comply with HIPAA and other relevant healthcare data privacy regulations
  • Monitors and tunes data systems, identifies and resolves performance bottlenecks, and implements caching and indexing strategies to enhance query performance
  • Implements data quality checks and validations within data pipelines to ensure the accuracy, consistency, and completeness of data
  • Establishes the governance of data and algorithms used for analysis, analytical applications, and automated decision making
What we offer
What we offer
  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Retirement with Company Match
  • Paid Time Off
  • Paid Volunteer Time
  • Thrift Shop Discount
  • Fulltime
Read More
Arrow Right

Data Engineer

Join Blue Ridge Care as a Data Engineer. At Blue Ridge Care, we deliver extraord...
Location
Location
United States , Winchester
Salary
Salary:
90000.00 - 140000.00 USD / Year
brhospice.org Logo
Blue Ridge Hospice
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • A bachelor’s or master’s degree in computer science, data science, software engineering, information systems, or related quantitative field
  • At least two years of work experience in data management disciplines, including data integration, modeling, optimization and data quality, or other areas directly relevant to data engineering responsibilities and tasks
  • Proven project experience developing and maintaining data warehouses in big data solutions
  • Ability to design, build, and deploy data solutions that capture, explore, transform, and utilize data to support AI, ML, and BI tools
  • Strong ability in programming languages such as Python, Java, and C/C++ with experience writing production code
  • Ability in data science languages/tools such as SQL, R, SAS, or Excel
  • Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP) and modern data warehouse tools (Snowflake, Databricks, Microsoft Fabric)
  • Experience with database technologies such as SQL, Oracle, Hadoop, or Teradata
  • Ability to collaborate within and across teams of different technical knowledge to support delivery and educate end users on data products
  • Ability to communicate complex technical concepts to non-technical stakeholders
Job Responsibility
Job Responsibility
  • Designs and develops data pipelines that extract data from various sources, transforms it into the desired format, and loads it into the appropriate data storage systems using CI/CD tools and practices
  • Integrates data from different sources, including databases, data warehouses, APIs, and external systems
  • Creates robust data models and architectures to support analytics initiatives
  • Collaborates with business stakeholders to understand their analytics needs and delivers comprehensive reports, dashboards, and models
  • Collaborates with data analysts to optimize models and algorithms for data quality, security, and governance
  • Ensures data consistency and integrity during the integration process, performing data validation and cleaning as needed
  • Ensures all data engineering activities comply with HIPAA and other relevant healthcare data privacy regulations
  • Monitors and tunes data systems, identifies and resolves performance bottlenecks, and implements caching and indexing strategies to enhance query performance
  • Implements data quality checks and validations within data pipelines to ensure the accuracy, consistency, and completeness of data
  • Establishes the governance of data and algorithms used for analysis, analytical applications, and automated decision making
What we offer
What we offer
  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Retirement with Company Match
  • Paid Time Off
  • Paid Volunteer Time
  • Thrift Shop Discount
  • Fulltime
Read More
Arrow Right

AI Engineer Senior Advisor

NTT DATA is a $30 billion business and technology services leader, serving 75% o...
Location
Location
Mexico , Guadalajara
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or related quantitative field
  • 2-4 years of professional experience in machine learning or data engineering roles
  • Solid understanding of machine learning algorithms and experience applying them to real-world problems
  • Proficiency in Python and SQL
  • experience with PySpark or similar big data tools is a plus
  • Familiarity with machine learning frameworks such as TensorFlow or PyTorch
  • Experience with cloud platforms and ML tools like AWS Sagemaker or Databricks preferred but not required
  • Ability to work collaboratively in a team and communicate technical concepts clearly
Job Responsibility
Job Responsibility
  • Develop and implement machine learning models such as recommendation engines, customer segmentation, and predictive analytics to support customer-centric business initiatives
  • Collaborate with data scientists and engineers to translate business requirements into technical solutions
  • Write clean, maintainable, and production-quality code primarily in Python, PySpark, and SQL
  • Assist in building and maintaining data pipelines and workflows using Spark, Airflow, or similar tools
  • Participate in model validation, testing, and deployment processes
  • Communicate findings and model insights effectively to both technical and non-technical stakeholders
  • Work in an agile environment alongside product managers, data scientists, and engineers to deliver data-driven products
  • Fulltime
Read More
Arrow Right