Product Manager, Data Science and Internal Tools Job at Onebrief

Distribution and Marketing Data Product Manager

Data is one of Beazley’s greatest assets and this roles is critical to supportin...

Location

United States , Multiple Locations

Salary:

130000.00 - 150000.00 USD / Year

Social Value Portal Ltd

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Business, Marketing, Data Science, Computer Science, Economics, Statistics or related field
Master’s degree preferred
Proven experience in data product management, marketing analytics or distribution strategy, preferably in insurance or financial services
Experience working with data, building data models, and sharing insights
Strategic and curious with the ability to design and develop data and insights that support our Distribution and Marketing team’s goals, planning, performance and incentives that drive growth
Understand the specialty insurance market, customer segmentation and distribution channels, with experience in North America, Lloyd’s, Retail and Wholesale markets preferred
Ability to lead workshops that help your stakeholders identify data needs and articulate their desired user experience, with the ability to build dashboards preferred
Strong organization and communication skills with the ability to direct work, document requirements and present demos
Advanced technical skills with the ability to dive into the data, identify anomalies, and provide high quality, trusted data
Understanding of Specialty Insurance principles and key drivers to create opportunities, loyalty and growth

Job Responsibility

Partner with the global Distribution and Marketing team to understand, prioritize and develop data products and insights that support their business strategy
Build and own a roadmap to provide regular updates on delivery commitments for data products, insights, enhancements and queries
Manage stakeholder relationships to support the growth strategy for Beazley customers, brokers, teams and products
Produce insights and key data trends that highlight business performance, RoI, efficiencies and game-changing growth opportunities
Inspire the adoption and use of insights to drive decisions in investment and operations that improve efficiency and drive growth by leading demonstrations and hands on training sessions
Lead a team of Product Owners, Product Analysts, Business Analysts and a development team to deliver and maintain data products and insights
maintaining a backlog of work within Jira
Represent the business in data governance discussions, escalating issues as appropriate
Ensure that data product development considers policy, methodology and standards, and ensure these are adhered to during product development
Evaluate the performance of your data product portfolio against KPIs defined by the business and provide feedback on the value delivered

What we offer

Attractive base compensation and discretionary performance related bonus
Competitively priced medical, dental and vision insurance
Company paid life, and short- and long-term disability insurance
401(k) plan with 5% company match and immediate vesting
22 days PTO (prorated for 1st calendar year of employment), 11 paid holidays per year, with the ability to flex the religious bank holidays to suit your religious beliefs
Up to $700 reimbursement for home office setup
Free in-office lunch, travel reimbursement for travel to office, and monthly lifestyle allowance
Up to 26 weeks of fully paid parental leave
Up to 2.5 days paid annually for volunteering at a charity of your choice
Flexible working policy, trusting our employees to do what works best for them and their teams

Fulltime

New

Senior Manager, Data Science - Forecasting

We are seeking a Senior Manager, Data Science to lead the Forecasting team withi...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

12+ years of professional experience delivering data science, machine learning, forecasting, AI, analytics, or decision-support solutions that created measurable business value.
7+ years of experience managing, leading, or formally developing data science, machine learning, AI, analytics, or cross-functional technical teams.
Demonstrated experience setting data science strategy, prioritizing a portfolio of work, managing stakeholder expectations, and leading teams through ambiguous, high-impact business problems.
Deep experience with forecasting, predictive modeling, statistical modeling, probabilistic or Bayesian methods, uncertainty quantification, scenario analysis, experimentation, or optimization.
Experience partnering with machine learning engineering, software engineering, product, program, or platform teams to move models and analytics capabilities from prototype into production or scaled business use.
Experience with modern AI systems, including LLM-powered applications, AI agents, retrieval or information-retrieval systems, evaluation frameworks, guardrails, and human-in-the-loop operating patterns.
Strong analytical and technical fluency with Python, R, SQL, or equivalent tools, and familiarity with modern data science and ML frameworks such as scikit-learn, PyTorch, TensorFlow/JAX, Spark, MLflow, Airflow/Prefect/Dagster, or equivalent technologies.
Familiarity with cloud platforms, enterprise data platforms, model deployment patterns, MLOps, model monitoring, reproducibility, governance, security, privacy, and responsible AI practices.
Strong communication and executive-influence skills, including the ability to explain complex methods, forecast uncertainty, assumptions, model risks, and business implications to technical and non-technical audiences.
Demonstrated ability to hire, coach, mentor, and grow technical talent while fostering collaboration, inclusion, accountability, and a high bar for scientific and delivery excellence.

Job Responsibility

Lead, coach, and develop a team of data scientists, AI/ML scientists, and analytics professionals, establishing clear priorities, high standards, career development plans, and an inclusive, accountable team culture.
Define and own the data science roadmap for enterprise forecasting, simulation, scenario planning, uncertainty quantification, predictive analytics, LLM-enabled applications, and AI-assisted decision support aligned to Amgen's planning, supply, commercial, manufacturing, operations, and patient-focused priorities.
Partner with senior business, product, program, operations, commercial, manufacturing, supply chain, finance, engineering, and AI stakeholders to translate ambiguous planning and decision challenges into prioritized data science initiatives with clear outcomes and measurable value.
Establish rigorous standards for forecast quality, model validation, experimentation, evaluation frameworks, guardrails, explainability, auditability, reproducibility, model monitoring, drift detection, and responsible AI practices in high-impact and regulated business contexts.
Create and maintain measurement frameworks to evaluate forecast accuracy, uncertainty calibration, decision quality, operational efficiency, reliability, user adoption, and business impact
lead build-measure-learn cycles that improve solutions based on real-world performance.
Serve as a senior advisor to stakeholders by communicating forecasts, uncertainty, model assumptions, trade-offs, risks, and recommendations in a clear, actionable way for both technical and executive audiences.
Manage the team portfolio, roadmap trade-offs, resourcing, stakeholder expectations, delivery risks, and dependencies across data science, engineering, product, and business teams.
Identify reusable methods, patterns, platforms, and governance practices that accelerate forecasting and AI decision-support delivery across Amgen and reduce duplication across teams.
Research and evaluate emerging open-source, vendor, and internal tools related to forecasting, decision intelligence, LLMs, AI agents, MLOps, model evaluation, and AI governance for potential application to Amgen business problems.

Fulltime

Data Product Manager (Digital & Loyalty)

Location

Poland , Warszawa

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

Advanced degree in Engineering, Data Science, Statistics, or a related analytical field.
7+ years of experience across one or more areas: data engineering, data analytics, or data stewardship.
3+ years of experience working with mobile and web analytics platforms (e.g., Google Analytics, BigQuery)
experience with loyalty program data is a strong plus.
Strong hands-on experience with SQL, analytical and visualization tools (e.g., Power BI), and cloud data warehouses such as Snowflake.
Solid understanding of data governance frameworks and data privacy regulations, including GDPR.

Job Responsibility

Partner with the Group Product Manager to maintain the data product vision, roadmap and backlog with clear acceptance criteria and measurable outcomes.
Translate business questions into metric definitions, data models and scalable self-service data products.
Collaborate with App & Web Architects to ensure accurate tagging of key user events in mobile apps (e.g., GA4)
Coordinate with Data Engineering to integrate mobile apps and retail loyalty datasets for a unified end-to-end customer journey.
Monitor data pipelines, investigate quality issues and implement automated validation, alerting and remediation processes.
Operationalize data governance, privacy and security requirements
Maintain the data catalog and lineage documentation to support discovery
Define and enforce data contracts, SLAs and schema-change processes with source teams.
Liaise with Performance Analytics to deliver certified datasets on time for monthly leadership dashboards and ad-hoc reporting.
Conduct stakeholder interviews to confirm data readiness for key insights and dashboards.

What we offer

Annual bonus
Private medical care
Cafeteria Platform/Multisport
English lessons subsidized by the company
Group insurance
Attractive discounts for products and services at our stations
Employee stock purchase plan
Employee Assistance Program (Lyra)
Modern and convenient office
Trainings & possibility to develop skills in a wide international environment

Fulltime

Marketing Data Science Manager

We are seeking a Marketing Data Science & Analytics Manager who can bridge the g...

Location

Salary:

Not provided

Myticas Consulting

Expiration Date

Until further notice

Requirements

10 years marketing analytics and data science
Experience at Education, Retail, e-commerce, telecom, CPG, or B2C at scale
Media agencies with MMM ownership (e.g., Analytic Partners, Neustar, Gain Theory, Merkle)
Has built MMM end-to-end and have deep understanding on marketing media optimization, not just contributed
Experience presenting MMM outputs to executives and adjusting the model based on business feedback
Search / tROAS / Value-Based Bidding
Hands-on experience building or maintaining: tROAS models, geo experiments, incrementality tests
Media spend optimizers and bid strategies
Understands channel behavior and measurement nuances

Job Responsibility

Develop and deploy predictive and statistical models to evaluate marketing performance (e.g., attribution, media mix modeling, churn, LTV, segmentation, optimization)
Partner with marketing, product team to translate modeling results into clear business insights & recommendations that drive growth and ROI and communicate implications to non-technical stakeholders
Present findings to senior stakeholders through clear storytelling and visualization
Visualize and present analytical results using tools like Power BI, Excel, etc
Build and maintain scalable analytics pipelines using Python/R, SQL, and possibly cloud data platforms (GCP, AWS, Azure)
Partner with marketing operations to operationalize insights (e.g., audience targeting, spend optimization)
Collaborate with data engineers and analysts to improve data accessibility and accuracy
Support ongoing model performance monitoring and iterative improvements
Support MMM and app maintenance and development for simulation and optimization and further development. Push changes to production using AWS Sagemaker, EC2, Terraform, Bitbucket, etc
Assist with ad-hoc data requests, data exploration and building business knowledge models. Build intelligent dashboards if needed using SQL, PBI

Senior Product Manager, Data Ingestion & Care Enablement

As a Senior Product Manager on our Data Ingestion & Care Enablement (DICE) team,...

Location

United States

Salary:

148750.00 - 175000.00 USD / Year

Thyme Care

Expiration Date

Until further notice

Requirements

4+ years of experience in product management, data operations, or a related role within healthcare
Direct experience working with healthcare claims data, eligibility files, and value-based care data in a payer, provider, or health tech environment
Track record of managing complex data integrations or implementations with external partners
Experience collaborating closely with data science and data engineering teams
comfortable with SQL and working in data-heavy environments
Proven ability to manage competing priorities across multiple partners and internal stakeholders simultaneously
Strong written and verbal communication skills, with the ability to translate technical concepts for non-technical audiences and vice versa
Experience operating effectively in ambiguous, fast-moving environments where you had to define the path forward

Job Responsibility

Own partner data integrations end-to-end: lead implementations with payers and providers, managing data ingestion, quality, enrollment logic, and return files from kickoff through go-live and ongoing operations
Serve as a primary point of contact for external data counterparts: negotiate data specifications, troubleshoot issues, and build strong working relationships with partner organizations
Translate technical complexity into business clarity: break down intricate data and integration challenges into actionable requirements that product, engineering, and data science teams can execute against
Drive cross-functional alignment: coordinate across DICE, growth, health economics, clinical operations, and care delivery teams to ensure data-dependent initiatives stay on track
Build and maintain operational visibility: develop monitoring, dashboards, and proactive alerting so the team can shift from reactive problem-solving to proactive management of data quality and integration health
Own analyses that drive decisions: lead work on eligibility reconciliation, claims analysis, enrollment trends, and other data investigations that inform executive and operational decision-making
Shape the DICE roadmap: partner with your team lead to identify opportunities, prioritize initiatives, and drive multi-quarter projects that improve how Thyme Care acquires, processes, and leverages data
Leverage AI to accelerate your work: stay current with AI tools and capabilities, applying them where they can improve your own productivity and the effectiveness of data workflows

What we offer

Equity
Other opportunities at Thyme Care

Fulltime

Senior Manager, Data Product- Personalized Recommendations Team

The Senior Manager, Product Management is responsible for delivering the vision,...

Location

United States , Bellevue

Salary:

140500.00 - 253500.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Engineering, IT or equivalent experience
Master's/Advanced Degree In Business Administration
10+ years of relevant Product Management experience in an agile product development environment
4 – 7 years’ experience leading teams of 5 or more resources in direct reporting relationship in Product Management organization
Product Lifecycle Management Experience in delivering large and complex business/technology initiatives
Proven track record communicating effectively with Leadership effectively, while employing a high degree of collaboration and influence
Excellent written and verbal communication skills with ability to present complex technical information in a clear and concise manner to a variety of audiences including executives and non-technical leaders
Strong analytical skills with proven ability to identify/analyze/synthesize product use data
Experience with Agile backlog/project management tools
At least 18 years of age

Job Responsibility

Works in collaboration with Director to develop strategy, plan, goals (outcomes) for their scope of business
Drive cross-functional alignments with various teams including Engineering, Business Assurance, Financial Operations and Accounting teams to understand current product experiences, identifies areas of opportunity and prioritize feature development
Maintains current understanding of the GSMA & Wireless Industry trends for Retail & IoT Roaming
Sr. Manager may also own lifecycle management of multiple Roaming Products
Develops change management and regularly cascades Vision, Strategy to share goals with corporate priorities from executives to direct reports
Regularly provides review and guidance to Product Management team & Vendor on execution related responsibilities
Drives accountability, from both T-Mobile and vendors regarding implementation, service levels and adherence to T-Mobile’s contractual terms
Ensures Product Team follows enterprise process to secure and maintain product funding
Coordinates activities/communication between internal teams and vendors
Represent T-Mobile as a primary contact with the Vendor for performance, quarterly business reviews, concerns, and issue resolution

What we offer

Competitive base salary and compensation package
Annual stock grant
Employee stock purchase plan
401(k)
Access to free, year-round money coaches
Medical, dental and vision insurance
Flexible spending account
Employee stock grants
Employee stock purchase plan
Paid time off

Fulltime

Head of Product Data Science

As the Data Science Leader at Abridge you will be responsible for building a wor...

Location

United States , San Francisco

Salary:

275000.00 - 325000.00 USD / Year

Abridge

Expiration Date

Until further notice

Requirements

MS or PhD in quantitative field (statistics, mathematics, computer science, physics, or related)
12+ years in data-science or analytics, especially in product-facing roles where you had to drive impact by using data to shape product strategy, goal setting and execution
Depth of experience using Python, R, SQL for large-scale analytics
Comfort building data capabilities from the earliest stages through rapid growth, including interfacing closely with data engineering and machine learning
Experience with data visualization tools, both BI tools (e.g. Tableau, Looker, Sigma) and code-based tools (e.g. Seaborn, ggplot2)
Excellent communicator capable of effectively delivering quantitative findings to non-technical stakeholders in a clear and compelling fashion.
A strong leader who is able to help build great teams, drive urgency in execution while ensuring we prioritize appropriately in a rapid growth environment

Job Responsibility

Build and manage a world-class team of data scientists, providing guidance, mentorship and high standards while growing the team to 12+ over the next twelve months
Foster a high impact and collaborative team culture, focused on having agency, providing clarity of thinking to the organization and pride in authorship
Drive product strategy through data-driven insights across our growing product portfolio , including user behavior analysis, deep-dives into product performance metrics, casual inference experimentation
Partner with our product, strategy and research teams to develop sophisticated ROI frameworks for our customers, ingesting real-time data and demonstrating impact
Collaborate with our world-class research team on models and model evaluation, including shaping our model evaluation frameworks, production performance monitoring, and defining quality metrics that matter clinically
Effectively communicate our data strategy, complex analyses and key insights to cross-functional partners including the executive team
Structure the company’s data strategy, working closely with our Data Engineering team to identify gaps in data sources, ingest internal & external data, and structure that data for optimal use across the Company
Make critical technical infrastructure decisions for the data organization, including tooling choices, build vs buy tradeoffs for analytics platforms, and setting technical standards that enable the team to move fast without creating technical debt
Build the data science org of the future, incorporating the current and soon-to-come best practices in order to utilize AI to speed up data ingestion and insight generation

What we offer

Generous Time Off: 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees
Comprehensive Health Plans: Medical, Dental, and Vision coverage for all full-time employees and their families.
Generous HSA Contribution: If you choose a High Deductible Health Plan, Abridge makes monthly contributions to your HSA.
Paid Parental Leave: Generous paid parental leave for all full-time employees.
Family Forming Benefits: Resources and financial support to help you build your family.
401(k) Matching: Contribution matching to help invest in your future.
Personal Device Allowance: Tax free funds for personal device usage.
Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.
Lifestyle Wallet: Monthly contributions for fitness, professional development, coworking, and more.
Mental Health Support: Dedicated access to therapy and coaching to help you reach your goals.

Fulltime

Senior Product Manager, Internal AI

Lead the effort to build transformative internal tools and platforms. This role ...

Location

United Kingdom , London

Salary:

Not provided

Optimizely

Expiration Date

Until further notice

Requirements

5+ years of Product Management experience
At least 2+ years focused on AI/ML-driven products, internal tools, or enterprise software solutions
Proven experience defining and launching products that utilize Generative AI models (LLMs/VLMs) and/or Machine Learning techniques
Demonstrable experience working in an agile environment with a fast-paced, fast release cycle
Deep familiarity with the commercial and open-source AI ecosystem, encompassing user-facing tools (Gemini, ChatGPT) and enterprise development platforms
Experience collaborating successfully with internal engineering or data science teams on platform development and deployment
Exceptional communication, documentation, and organizational skills, with the ability to convey complex technical concepts to both technical and non-technical executive audiences
Outstanding presentation skills capable of influencing decision-makers and driving internal adoption of new technologies
Bachelor’s degree preferred

Job Responsibility

Define and champion a compelling product vision and roadmap for internal AI tools
Work in deep collaboration with the strong internal AI Engineering team, serving as the primary product voice
Maximize the utilization of Optimizely's internal AI Orchestration Platform, Opal
Lead the end-to-end product lifecycle for internal AI solutions
Maintain a comprehensive understanding of the entire internal and external AI tool landscape
Identify, prioritize, and execute opportunities for transformative change by deploying Agentic AI
Partner closely with GTM, Engineering, Data Science, and IT teams
Thrive in an environment with a fast-paced, fast release cycle
Define key performance indicators (KPIs) and metrics to measure the impact of internal AI solutions

Select Country

Product Manager, Data Science and Internal Tools

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

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