Big Data

Big Data Product Jobs

6 jobs found

Today

Product Owner - Data & Analytics

Talent Management Plus, Inc. Addison, IL

Addison, IL

Today

$125k - $155k/yr Full time Manager Analytics Big Data

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Job Description

Talent Management Plus, Inc. is seeking a Product Owner for Data & Analytics to lead the analytics ecosystem, shape the strategic direction, and oversee governance and backlog prioritization in line with business objectives. You will guide the BI Analyst team and partner with Data Engineering to turn data into actionable insights that support growth. This hybrid role is based in Addison, Illinois, offering a blend of on-site collaboration and remote work.

Responsibilities

Define and own the enterprise analytics strategy and a multi-year roadmap
Establish Power BI reporting and visualization standards
Champion data governance, data quality, and consistency across the organization
Lead Agile delivery, Scrum ceremonies, and backlog prioritization
Foster cross-functional partnerships with FP&A, Strategy, and business owners
Advance analytics maturity across the enterprise
Collaborate with leadership to align analytics initiatives with strategic programs
Develop and manage KPIs, dashboards, and insights that support enterprise goals
Ensure the quality and consistency of enterprise reporting and data
Guide business teams in adopting new analytics capabilities
Chair a Data & Analytics Steering Committee to prioritize data investments
Coach the BI Analyst team responsible for reporting, dashboards, UX, and insights
Maintain alignment between reporting, engineering, governance, and stakeholders
Build a high-performance analytics culture and define team goals
Manage third-party vendor partnerships for analytics delivery
Oversee the BI & Analytics budget and capacity planning
Drive continuous improvement in development processes, automation, testing, and documentation
Establish and lead the organization’s data governance program
Define data standards, data quality policies, and metadata practices
Partner with business units to strengthen ownership of master data domains
Support scalable, governed data models for enterprise-wide reporting
Improve data trust, lineage, and transparency across the organization
Develop analytics insights aimed at growth, margin, customer experience, and efficiency
Serve as a trusted advisor to senior leaders on analytics opportunities and impact
Manage large programs or projects from a tactical level while guiding sponsorship
Influence effectively in a matrixed environment and provide clarity in ambiguity
Adapt communication methods to meet evolving business needs

Requirements

5+ years of experience in analytics, BI, or data engineering
2+ years leading analytics teams
Expert Power BI experience including DAX, semantic models, and visualization
Experience with Databricks, SQL, and Lakehouse ETL/ELT pipelines
Experience serving as product owner for analytics or data-driven initiatives
Strong Agile/Scrum leadership experience
Degree in Computer Science, Data Science, Engineering, or a related field

Technologies

Power BI
Databricks
SQL
DAX

Benefits

401(k)
401(k) matching
Dental insurance
Employee assistance program
Health insurance
Life insurance
Paid time off
Retirement plan
Vision insurance

Pay

Salary: USD 125,000 - 155,000 per year

Location

Hybrid remote in Addison, IL 60101

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2d ago

Asset & Wealth Management - Data Mesh Platform Product Owner (Business Owner) - Executive Director

JPMorganChase Jersey City, NJ

Jersey City, NJ

2d ago

$176k - $260k/yr Full time Analytics Asset Management Big Data

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Job Description

JPMorgan Chase offers a leadership opportunity in Asset & Wealth Management with a focus on data strategy and platform excellence. This onsite Executive Director level role places you at the helm of a federated data mesh platform spanning Snowflake, Starburst, and Databricks to serve data producers and consumers across the Global Private Bank. The position carries a salary range of USD 175,750 to 260,000 per year and a comprehensive benefits program designed to support health, finances, and professional growth.

Benefits

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

Responsibilities

Own the federated data mesh platform's product vision, strategy, and roadmap for the Global Private Bank
Act as the business owner for the platform's distribution points Snowflake, Starburst, and Databricks from a producer and consumer enablement perspective, coordinating with firmwide platform teams for approvals, enhancements, and implementation
Lead a step-change in producer onboarding by simplifying and accelerating the process, including enabling self-service registration of Analytical Data Products (ADPs)
Set and pursue measurable targets, including reducing onboarding time and speeding up time-to-creation of unified data products
Collaborate with engineering and Scrum leads across pods to translate platform strategy into delivery
Define and monitor KPIs and OKRs for platform adoption, onboarding velocity, and data product creation throughput
Manage senior stakeholders across CDAO, the lines of business, and the firmwide platform teams
Provide thought leadership on federated data mesh architecture and a distribution model that encourages sources of record to own and curate their data

Requirements

Extensive financial services experience appropriate for an Executive Director level role (12+ years) within data and analytics, asset and wealth management, private banking, or capital markets
Deep experience owning data platforms, data mesh, or enterprise data products as a business or product owner
Proven track record simplifying complex platform onboarding and developer experience while driving measurable adoption
Excellent executive stakeholder management and communication skills
Bachelor's degree required

Technologies

Snowflake
Starburst
Databricks

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2d ago

VP, Data Product Manager

Ledgent Technology San Diego, CA

San Diego, CA

2d 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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7d ago

Technical Product Manager

Merck Rahway, NJ

Rahway, NJ

7d ago

$117k - $184k/yr Full time Manager Analytics Big Data

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Job Description

Merck is expanding its biopharma research portfolio with a Technical Product Manager who will steer a growing data product lineup focused on enabling insights and accelerating innovation. This onsite role in Rahway, New Jersey places a strong emphasis on strategy, execution, and delivery of data products for in silico research, with a clear pathway from concept to adoption.

Role details

Location: Rahway, NJ (onsite)
Salary: USD 117,000 – 184,200 per year
Minimum experience: 5+ years
Education: Bachelor's degree

Responsibilities

Collaborate with stakeholders to identify business data needs for in silico research and define the core capabilities required to support them
Develop and communicate a product vision, strategy, and roadmap for emerging data products that align with business objectives and market opportunities
Serve as the primary point of contact for stakeholders regarding product vision, strategy, and roadmap updates
Own accountability for the execution and delivery timelines related to emerging data products
Lead cross-functional teams of data scientists, information architects, software engineers, and product designers to drive development and execution
Ensure the product team stays aligned with the overall vision and remains motivated to contribute to successful delivery
Foster a collaborative environment that supports open communication and aligns efforts with the product roadmap
Apply Agile methodologies across the product lifecycle, including sprint planning, backlog management, and performance assessments
Lead with a prototype-driven, learn-and-evolve approach to rapidly validate capabilities and de-risk investments
Ensure compliance with GxP and audit requirements for data usage and dashboarding
Advocate for the adoption of FAIR data principles in developing emerging data products
Highlight the need for outcome-driven data quality and context standards to ensure usability
Drive adoption of delivered data products through user training, documentation, pilots, and evangelism; collect feedback and iterate
Measure and report on adoption metrics and business outcomes such as reduced cycle time, fewer deviations, and improved batch yield

Requirements

Bachelor’s degree in Life Sciences, Biomedical Engineering, Chemical Engineering, Computer Science, or a related field
Five or more years of experience in technical product management, particularly within biopharma or healthcare
Excellent leadership, communication, and stakeholder management skills
Ability to simplify complex technical and scientific concepts for nontechnical stakeholders
Proven ability to prioritize competing demands and drive cross-functional teams
Proven ability to motivate cross-functional teams and drive product strategy from conception to execution
Demonstrated understanding of PCC, Safety, PK/PD, and Bioanalytical data
Experience with data management, information architecture, cloud storage and compute infrastructure (e.g., AWS, Azure) and knowledge of automation and monitoring tools
Strong experience with Agile methodologies and product management frameworks
Familiarity with modern data warehousing tools such as Databricks and Redshift
Familiarity with FAIR data principles and best practices related to data management and interoperability
Knowledge of GxP compliance and regulatory data standards

Technologies

Apache Kafka, Spark, Databricks, Labware (LIMS), Benchling (ELN), AWS, Azure, Power BI, Collibra, Redshift

Benefits

Annual bonus and long-term incentive (where applicable)
Medical, dental, vision coverage and other insurance benefits for employee and family
Retirement benefits, including 401(k)
Paid holidays
Vacation time
Compassionate and sick days

Logistics and eligibility

US and Puerto Rico residents only: Our company is committed to inclusion and provides accommodations during the application process if needed
San Francisco residents only: We consider qualified applicants with arrest and conviction records in compliance with local ordinances
Los Angeles residents only: We consider all qualified applicants in line with applicable state and local laws
Travel: Up to 10%
Relocation: Domestic
Visa sponsorship: No
Flexible work arrangements: Hybrid
Shift: Day
Driving license: No

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12d ago

Sr Product Manager

NBCUniversal New York, NY 🇺🇸 Remote

New York, NY

12d ago

$130k - $170k/yr Full time Ai Workflows Analytics Big Data

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Job Description

Compensation & Location

Salary: USD 130,000 - 170,000 per year
Location: New York, NY, remote eligible

Responsibilities

Own the product strategy and development for large-scale data platform solutions that support petabyte-scale analytical workloads.
Create and govern a universal data discovery and access platform to enable enterprise-wide cross-platform data sharing.
Lead semantic modeling and metadata management initiatives to streamline data consumption for BI and AI use cases.
Establish and enforce data governance frameworks, ensuring data quality, lineage tracking, privacy compliance (GDPR, CCPA), and security standards.
Prepare data infrastructure for advanced analytics, machine learning, and generative AI applications.
Drive user adoption of data platform solutions and manage monthly OKRs to measure product success.
Leverage data and insights to guide ongoing product development, identifying efficiency opportunities and addressing customer pain points.
Oversee the lifecycle for surfacing new features from sandbox environments and serve as the main liaison between Product Platform and Engineering DE/Platform.
Manage strategic vendor relationships, representing enterprise needs and evaluating emerging data technology solutions; coordinate discussions across data product, engineering, and vendor teams.
Conduct thorough build-vs-buy evaluations of data platforms, tools, and services.
Mitigate strategic risk by reducing dependency on vendor roadmaps while maintaining rapid time to market.
Identify and pilot emerging data technologies that could offer competitive advantages.
Define and communicate an internal platform roadmap, including agentic AI and related feature capabilities, across product and engineering teams.
Develop and execute a comprehensive, scalable data strategy that aligns with NBCUniversal's diverse brand portfolio.
Secure executive buy-in through strategic presentations and ROI analyses, while staying informed by market intelligence on data technologies and industry practices.

Requirements

Bachelor’s degree in computer science, engineering, analytics or a related field, or equivalent professional experience.
8+ years of product management experience, including at least 2 years owning data or analytics products.
Experience in media, entertainment, or advertising technology industries.
Ability to translate complex data and measurement concepts into clear product requirements.
Strong technical, quantitative, analytical, research, and problem-solving skills.
Experience with modern data platforms and technologies, including cloud data warehouses, BI tools, semantic layers, and AI.
Working knowledge of SQL to validate data, metrics, and analytical outputs.
Excellent stakeholder management and communication skills.

Technologies

SQL
Jira
Confluence
Cloud data warehouses
BI tools
Semantic layers
AI and generative AI

Benefits

Medical, dental and vision insurance
401(k)
Paid leave
Tuition reimbursement
Discounts and other perks

About NBCUniversal

NBCUniversal is a leading global media and entertainment company that creates and distributes premier content across film, television, streaming, parks, consumer products and experiences. The portfolio includes brands such as NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo and Peacock. NBCUniversal emphasizes community impact and cultivating an inclusive culture with opportunities to develop a diverse workforce and deliver content reflecting the world.

Work Arrangement

This is a fully remote position.

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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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