Senior Technical Product Manager - Data Lakehouse

WEX Inc.; Portland (ME); Remote; USD 113,000 - 150,000; Full time

Job summary

Join a forward-thinking company as a Senior Technical Product Manager focused on Data Lakehouse architecture. In this role, you'll drive the development of an innovative data ecosystem that integrates AI and advanced analytics. Collaborate with cross-functional teams to ensure robust data security and governance while aligning product initiatives with business outcomes. This is an exciting opportunity to shape the future of data-driven solutions in a dynamic environment, where your contributions will directly impact the organization’s success. If you're passionate about leveraging data to drive business value, this role is perfect for you.

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Retirement Savings Plan

Paid Time Off

Flexible Spending Accounts

Life Insurance

Disability Insurance

Tuition Reimbursement

Quarterly or Annual Bonus

Qualifications

• 8-10 years in technical product management focusing on data platforms.
• Deep understanding of cloud-native architecture and distributed systems.

Responsibilities

• Define and execute the product vision for the data platform.
• Lead initiatives to enhance data ingestion and delivery across pipelines.

Skills

Technical Product Management

Data Lakehouse Design

Cloud-native Architecture

Machine Learning Systems

Data Pipeline Optimization

Cross-functional Collaboration

Agile Methodologies

Education

Bachelor's Degree in Computer Science or related field

Master's Degree (preferred)

Tools

Spark

Flink

Kafka

Airflow

DBT

Delta Lake

Job description

Senior Technical Product Manager - Data Lakehouse

Senior Technical Product Manager - Data Lakehouse

Apply locations Portland, ME US - Remote time type Full time posted on Posted 2 Days Ago job requisition id R17681

Location:
Remote, with a requirement to reside within 30 miles of one of the following locations: Portland, ME; Boston, MA; Chicago, IL; Washington, DC; Dallas, TX; or San Jose, CA.

About the WEX AI Team

At WEX, we are shaping the future of AI-driven financial services and intelligent automation. Our AI team builds foundational systems at the convergence of scalable data infrastructure, machine learning platforms, and real-time decisioning engines. We combine deep technical execution with forward-looking product thinking to transform how data powers business outcomes.

We operate in high-scale, high-complexity environments and collaborate across disciplines—from AI research to cloud engineering—to deliver intelligent, resilient systems that are built to learn and adapt.

About the Role

We are seeking a Senior Technical Product Manager - Data Platform with deep expertise in data-intensive infrastructure, ML-centric data architecture, and cloud-native platforms to drive the development of our next-generation data ecosystem, including AI/ML, data products, and advanced analytics capabilities.

This role will also define and lead efforts to track the performance and value of the data platform—establishing metrics and frameworks to evaluate impact, ROI, and business outcomes of platform investments.

As a senior individual contributor, you will lead product initiatives across our data lakehouse strategy, data pipeline orchestration, and scalable MLOps and other platform integrations—building the foundation for production-grade AI and data applications across the enterprise. You will work closely with cross-functional stakeholders to align platform capabilities with product needs, data strategy, and long-term technical vision.

You will also work with others across the organization to ensure strong data security and privacy practices, governance frameworks, and responsible data stewardship, embedding these principles into platform capabilities and roadmap planning.

How You'll Make an Impact

Data Platform Strategy & Architecture

• Define and execute the product vision for WEX’s data platform, supporting lakehouse architecture, broad data product usage, and scalable ingestion of structured and unstructured data.
• Develop phased product roadmaps aligned with evolving AI/ML, analytics, and enterprise data use cases.
• Identify opportunities for innovation in data modeling, metadata management, observability, and compute optimization.
• Drive discovery efforts for infrastructure supporting generative AI, predictive modeling, business intelligence, and decision automation.
• Define and measure platform value and ROI, connecting infrastructure investments with business impact.

Data Infrastructure & Pipeline Optimization

• Lead initiatives to enhance data ingestion, transformation, and delivery across both batch and streaming pipelines—supporting a full spectrum of data use cases.
• Collaborate with engineering to define scalable architecture and orchestration patterns for robust, ML- and analytics-ready data flows.
• Establish requirements for pipeline observability, governance, data freshness, schema evolution, and cost-efficiency.
• Prioritize investments in fault-tolerant and high-throughput compute infrastructure.

AI/ML, Analytics, and Workflow Integration

• Partner with AI, analytics, and MLOps teams to integrate development and deployment workflows into the data platform.
• Define interfaces, APIs, and contracts that streamline access to production data for various use cases.
• Enable faster experimentation through intelligent data caching, feature stores, and monitoring integrations.
• Drive capabilities for reproducibility, traceability, and model lifecycle management.

Cross-Functional Collaboration & Governance Leadership

• Act as the product voice in pods of engineers, data scientists, and cloud architects.
• Align infrastructure and data product initiatives with business KPIs and stakeholder expectations.
• Facilitate alignment across AI/ML, analytics, data governance, and enterprise architecture teams to support a scalable data strategy.
• Promote strong practices for data privacy, compliance, and ethical data use.

Experience You'll Bring

Technical Expertise

• 8 - 10 years in technical product management or engineering roles with a focus on data platforms, large-scale infrastructure, or ML systems.
• Deep understanding of data lakehouse design, cloud-native architecture (AWS, GCP, or Azure), and distributed systems.
• Hands-on familiarity with tools such as Spark, Flink, Kafka, Airflow, DBT, Delta Lake, or equivalent.
• Experience working in environments that integrate ML workflows with streaming/batch data pipelines.

Product Strategy & Delivery

• Proven track record of launching and scaling technical platforms used across engineering, ML, and analytics teams.
• Demonstrated ability to define and measure success metrics tied to system performance, data usability, and AI model outcomes.
• Comfortable working in agile, cross-functional environments with both iterative product development and long-range planning.

Preferred Experience

• Experience with vector databases, retrieval-augmented generation (RAG) pipelines, or generative AI integration.
• Knowledge of data mesh, federated data access, or multi-tenant platform design.
• Background in enterprise-scale financial systems, payments, or regulated data environments.

The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section. Pay Range: $113,000.00 - $150,000.00

About Us

WEX is a global commerce platform that helps businesses solve for operational complexities like employee benefits, managing and mobilizing fleets, and streamlining payments.

With over 6,500 employees, we work with large and small companies in more than 200 countries and territories, and can tailor our services to meet the unique needs of their businesses.

We hire people who share our passion for continuous innovation and client service that is unparalleled in the industry. Offering comprehensive and market competitive benefits, our offerings are designed to support your personal and professional well-being. If you’re looking for a growing career - come be part of WEX today. To learn more about our employee benefits, please click here.

WEX is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, sexual orientation, gender identity, protected veteran status, disability or other protected status. WEX promotes a drug-free workplace.

Qualified individuals with a disability have the right to request a reasonable accommodation. If you require a reasonable accommodation as a result of your disability at any point in the job application process, please submit your request through our Reasonable Accommodation Request Form.

This form is for accommodation requests only and cannot be used to inquire about the status of applications.