Data Warehouse

Data Warehouse Product Jobs

4 jobs found

3d ago

VP, Data Product Manager

Ledgent Technology San Diego, CA

San Diego, CA

3d ago

$120k - $140k/yr Full time Ai Workflows Analytics Azure DevOps

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Job Description

Ledgent Technology is seeking a VP, Data Product Manager to shape the next generation of our enterprise data platform. This role blends product thinking with hands-on data engineering fluency and AI-driven delivery insights to help the team move faster, deliver smarter, and scale seamlessly. The position is onsite in La Jolla, San Diego, with ownership of the data platform roadmap, backlog, and outcomes that enable analytics, AI, and business innovation across the organization.

Responsibilities

Steer the data engineering backlog by prioritizing stories, defining acceptance criteria, and ensuring delivery of pipelines and platform capabilities that boost data availability and quality.
Collaborate with Business Units, Analytics, and Tech Leadership to ensure data products are trusted, timely, and aligned with business priorities.
Work with Data Engineers, Tech Leads, and Architects to translate a technical vision into actionable deliverables for ingestion, transformation, orchestration, and serving layers.
Advocate for governed, scalable, and AI-ready data partnering with Collibra and platform teams to ensure compliance and discoverability.
Champion AI-assisted development and automation, including dbt auto-tests, Databricks notebooks, CI/CD intelligence, and metadata lineage, to accelerate delivery and reduce manual workload.
Utilize AI/ML-based monitoring and observability tools to improve data reliability, detect anomalies, and enhance operational performance.
Drive the Data Platform roadmap, aligning engineering, analytics, and business stakeholders with transparent progress and measurable impact.
Cultivate a culture of continuous improvement using metrics and retrospectives to increase throughput, quality, and delivery predictability.
Represent the engineering voice in cross-functional planning and clearly communicate technical dependencies, risks, and opportunities.
Mentor junior Scrum Masters and influence agile practices to boost team productivity and engagement.

Requirements

5+ years of experience in Data Engineering, Product Ownership, or Technical Program Management within modern data environments.
Hands-on familiarity with Databricks, dbt, Fivetran, Kafka, Census, Azure Data Services, SSIS, Tableau, and Collibra.
Experience leveraging AI-assisted tools (e.g., GitHub Copilot, ADO, Databricks Assistant, or similar) to boost productivity and code quality.
Strong grasp of data architecture, pipelines, orchestration, and governance frameworks.
Proven ability to manage backlogs, define roadmaps, and drive delivery through Agile methodologies.
Excellent communication and stakeholder management skills across technical and non-technical audiences.

Technologies

Databricks
dbt
Fivetran
Kafka
Census
Azure Data Services
SSIS
Tableau
Collibra
GitHub Copilot
ADO
Databricks Assistant
Databricks notebooks

Key Details

Direct Hire / Perm
Location: Onsite in La Jolla, San Diego (candidate must be local or willing to relocate)
Pay: USD 120,000 - 140,000 per year plus a 20% bonus

What Success Looks Like

A transparent and trusted roadmap for the data platform.
Consistent, high-quality, governed data delivery across the organization.
Improved team velocity and reduced cycle time through automation and AI augmentation.
Strong relationships and alignment across business, analytics, and engineering teams.
A scalable, AI-enabled platform foundation that supports future data products and innovation.

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27d ago

Product Operations Analyst

EagleView Remote 🌍 Remote

Remote

27d ago

$65k - $95k/yr Full time A/B Testing Analytics Business Analytics

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Job Description

Remote-first role where data informs product strategy and business decisions. In this position you will influence product performance, collaborate across Product Management, User Experience, Engineering, Finance, Sales, and Customer Success, and report to the Manager of Product Operations. The role offers a salary range of USD 65,100 to 94,600 per year and requires a Bachelor's degree plus 2+ years of product analytics experience.

Responsibilities

Strategic Analysis & Planning Support: contribute data-driven insights to shape long-term product goals and support quarterly and annual planning cycles.
Product Performance Analysis: write and run queries to assess product usage, feature adoption, customer behavior, and performance trends; perform cohort, funnel, and segmentation analyses to surface opportunities and risks.
Metrics & Reporting: define, track, and report KPIs that measure customer experience, product effectiveness, growth, and operational health; develop dashboards for visibility into performance.
Experimentation & Measurement: design, measure, and interpret A/B and multivariate tests to evaluate changes and validate strategic hypotheses with analytical rigor.
Operational Monitoring: identify and monitor issues affecting adoption, retention, profitability, and productivity; surface insights and recommend corrective actions.
Cross-Functional Alignment: partner with Product Management, User Experience, Engineering, Finance, Sales, and Customer Success to align analytics with business objectives.
Data Storytelling: translate complex datasets into clear reports and presentations for product leadership and executive stakeholders.

Requirements

Bachelor's degree in Business, Data Analytics, Computer Science, Statistics, or a related field.
2-4+ years of experience in product analytics.
Experience supporting Product Management or Product Operations teams in a SaaS, technology, or platform-based organization.
Strong proficiency in querying large datasets.
Experience with BI and product analytics tools such as Power BI, Snowflake, Looker, Tableau, Gainsight PX or similar platforms.
Experience designing and interpreting A/B or multivariate experiments.
Demonstrated ability to translate complex analytical findings into clear, actionable business insights.
Strong written and verbal communication skills with the ability to influence cross-functional stakeholders.

Technologies

Power BI
Snowflake
Looker
Tableau
Gainsight PX
Python
R

Benefits

PTO
Sick leave
Parental Leave
Medical Insurance
Dental Insurance
Vision Insurance
401(k) Plan
Health Savings Account
Life Insurance
Employee Assistance Program
Pet Insurance
Bonus potential (10%)

Preferred Experience

Familiarity with Agile product development methodologies.
Experience aligning analytics with OKRs, planning processes, and operational reporting frameworks.
Exposure to data modeling, Python, R, or advanced statistical techniques is a plus.
Experience working with distributed or global teams.

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1mo ago

Product Manager VP - AWS Data Infrastructure Services

JPMorganChase New York, NY

New York, NY

1mo ago Closed

$123k - $201k/yr Full time AWS Aws Glue Cloud

This position is no longer accepting applications (closed Jul 5, 2026).

Job Description

Senior Product Manager VP responsible for AWS Data Analytics Services product strategy and lifecycle at JPMorganChase, onsite in New York, NY, with a salary range of USD 122,550 - 201,000 per year.

Responsibilities

Define and communicate a product strategy and vision that delivers value to customers.
Lead discovery efforts and market research to identify customer needs and translate them into the product roadmap.
Manage and prioritize the product backlog to support the overall strategic roadmap and value proposition.
Establish and monitor key success metrics such as cost, feature coverage, risk posture, and reliability.
Serve as the subject matter expert for Data and AI/ML technologies, with emphasis on AWS Analytics Services (Athena, Glue, Lake Formation, Redshift), providing guidance to internal teams and customers.
Coordinate cross-functional collaboration with project management discipline to keep the product team cohesive and focused on benefits.
Continuously refine the backlog by defining detailed requirements, precise specifications, and prioritizing features based on customer impact, business value, and engineering supportability.
Collaborate with Product Marketing, Client Engagement, and Solutions Architecture to craft go-to-market plans and support product launches.

Requirements

5+ years of experience in product management or a related discipline.
Advanced knowledge of the product development lifecycle, product design processes, and data analytics.
Proven ability to lead end-to-end product lifecycle activities from discovery and ideation through requirements definition and value management.
Professional experience with AWS Analytics Services such as Athena, EMR, Glue, Lake Formation, and Redshift.
Familiarity with GenAI use cases including LLM, RAG, Model Context Protocol, Agents, and AI Gateway.
Excellent organizational, communication, and collaboration skills, with a track record of influencing across engineering, business, and executive stakeholders.
Ability to manage multiple projects and priorities in a fast-paced, ambiguous environment.
Experience with agile development methodologies and tools.

Technologies

Athena
EMR
Glue
Lake Formation
Redshift
Snowflake
Starburst
Databricks

Benefits

comprehensive health care coverage
on-site health and wellness centers
a retirement savings plan
backup childcare
tuition reimbursement
mental health support
financial coaching

Preferred Qualifications, Capabilities, and Skills

Demonstrated experience in a highly matrixed, complex organization
Strong experience with Snowflake, Starburst, Databricks, or similar cloud-based data analytics platforms
Strong business acumen and the ability to translate technical capabilities into business value

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1mo ago

Product Manager, Vice President - CIB Markets Technology

JPMorganChase Jersey City, NJ

Jersey City, NJ

1mo ago Closed

$100k - $150k/yr Full time Manager Ai Workflows Big Data

This position is no longer accepting applications (closed Jul 1, 2026).

Job Description

Based onsite in Jersey City, NJ, this Vice President level Product Manager will own the end-to-end delivery of the MDL platform capabilities for CIB Markets. You will drive AI enabled data platform initiatives and serve as the voice of the customer to translate user outcomes into actionable product requirements. The role offers a salary range of USD 99,750 to 150,000 per year.

Responsibilities

Shape and advocate the product vision, strategy, and roadmap for assigned MDL capabilities, ensuring alignment with business goals and the platform’s move toward a data mesh and AI ecosystem.
Act as a hands-on product leader who moves from strategy to execution, crafting direction while building prototypes and proofs-of-concept to validate user needs, demonstrate business value, and reduce production risk.
Define requirements, acceptance criteria, and deliverables by working backward from customer outcomes, covering discovery through launch and post-release measurement.
Own and prioritize the product backlog; define scope and milestones in partnership with engineering and delivery, translating priorities into clear, outcome-driven work.
Collaborate with data engineers, data scientists, business analysts, and senior stakeholders to define scope, confirm success criteria, and align across cross-functional teams.
Lead product management for AI powered capabilities including LLM based tools, agentic workflows, and conversational analytics from concept to production.
Define and monitor KPIs and adoption metrics; use data to continuously re-evaluate priorities and maximize platform impact.
Identify and mitigate risks, dependencies, and impediments proactively, escalating early and resolving quickly.
Support successful launches with documentation, training, and stakeholder communications.

Requirements

Proven track record leading product management for data platforms or technical software at scale; acts as the senior product voice in cross-functional settings.
Strong customer voice — represents end user needs with conviction and distinguishes requested asks from actual needs.
Expertise in discovery and prioritization frameworks; working backwards methodology experience preferred. Demonstrated ability to influence senior stakeholders and drive decisions in ambiguous, high-pressure environments.
Exceptional communication — makes complex topics legible for diverse audiences, from engineers to MD-level business partners.
Hands-on experience with AWS and Databricks required; Snowflake a plus. Experience managing AI/ML products in production, including LLMs, agentic systems, or data-driven automation.
Technical depth in data environments; Python and/or PySpark familiarity is a plus.
CIB Markets domain knowledge — understanding of front office, trading, and markets workflows; familiarity with quant or market data consumption patterns is a strong plus.

Technologies

AWS
Databricks
Snowflake
Python
PySpark

Benefits

Comprehensive health care coverage
On-site health and wellness centers
Retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching

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Data Warehouse Product Jobs

VP, Data Product Manager

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Product Manager VP - AWS Data Infrastructure Services

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