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9d ago

Product Owner

FFF Enterprises Flower Mound, TX

Flower Mound, TX

9d ago

$120k - $150k/yr Full time Azure Data Factory Business Analytics Data Analytics

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Job Description

FFF Enterprises seeks an experienced Business Analyst and proxy Product Owner to support the Data Platform & Analytics team. The role combines business analysis, light product ownership, and Agile facilitation to help deliver enterprise data products and platform capabilities while translating business goals into executable requirements.

Role Overview

Working at the intersection of business needs and technical delivery, you will define requirements, prioritize work, and coordinate validation to ensure data initiatives meet intended outcomes. You will also support adoption and maturity for a modern cloud-native data platform through enablement and change support activities.

Location

Flower Mound, TX (onsite)

Compensation

USD 120,000 - 150,000 per year

Responsibilities

Engage business users, data engineers, architects, and BI developers to gather, define, and refine detailed business and technical requirements across initiatives.
Translate complex business problems into scalable data solutions, including ingestion pipelines, curated data layers, and reporting or analytical models.
Act as a proxy Product Owner by defining product scope, writing epics and user stories, and prioritizing features based on stakeholder impact and technical feasibility.
Facilitate Scrum processes as a Scrum Master or Agile Lead, including sprint ceremonies (planning, stand-ups, retrospectives), tracking team velocity, and managing work in Jira or Azure DevOps.
Lead discovery and requirements workshops with stakeholders across areas such as finance, operations, supply chain, commercial, and other enterprise functions.
Create and maintain documentation, including process flows, source-to-target mappings, data dictionaries, and user training materials.
Coordinate UAT and validation activities through data testing and QA to confirm deliverables meet business intent.
Analyze and troubleshoot data issues using SQL and reporting tools to support quality assurance and root cause analysis.
Support platform adoption and maturity through change management activities and self-service enablement initiatives.
Collaborate with platform leadership on roadmap planning, backlog grooming, and continuous improvement efforts.
Follow company policies and procedures and comply with applicable Federal and State regulations and laws.
Perform duties with professionalism, represent the company appropriately, and demonstrate loyalty to the company purpose and organizational values.
Demonstrate dedication to learning, improving effectiveness, and sharing knowledge with others.
Work constructively with internal and external customers by sharing ideas, listening to feedback, keeping commitments, and keeping others informed of progress, timetables, and issues.
Comply with the Injury and Illness Prevention Program by working safely and immediately reporting injuries, safety hazards, or program violations.
Ensure conduct is consistent with Compliance Program Policies and immediately report concerns or violations.
Other duties as assigned.

Required Experience & Qualifications

Minimum seven (7) years of experience as a Business Analyst, Product Analyst, or hybrid BA/PM in data engineering, analytics, or an enterprise platform (or eleven (11) years for non-degreed candidates).
Experience acting as a Product Owner or closely partnering with product managers and delivery teams to ship platform features or data capabilities.
Strong knowledge of Databricks and modern ELT/ETL practices in a cloud-native environment.
Advanced SQL proficiency for data exploration, validation, and troubleshooting.
Hands-on experience with Fivetran, dbt, Azure Data Factory, or other data pipeline tools.
Deep understanding of Agile delivery frameworks and collaboration tools such as Jira, Confluence, and Azure DevOps.
Experience working with source system data from platforms like SAP, Salesforce, or Workday, including awareness of upstream business processes.
Excellent written and verbal communication skills for technical and non-technical audiences.
Strong facilitation and collaboration skills to lead meetings and align cross-functional teams.
Self-starter with strong organization, attention to detail, and a bias toward action.
Ability to adapt to changing priorities in fast-paced delivery environments.

Technologies

Databricks
ELT
ETL
SQL
Fivetran
dbt
Azure Data Factory
Jira
Confluence
Azure DevOps
SAP
Salesforce
Workday

Preferred Education

Bachelor’s Degree in a related field of study, or four (4) years of relevant experience in lieu of a degree.

Preferred Experience

Experience managing or contributing to delivery of internal data products, self-service analytics environments, or data marketplaces.
Familiarity with medallion architecture, delta tables, streaming vs. batch pipelines, and Unity Catalog.
Understanding of data governance, quality frameworks, and metadata management best practices.
Background in business domains such as finance, supply chain, customer operations, or commercial strategy.

Professional Certification

CSPO, CAP, CSBA, PMI-PBA, or other business analyst certifications (a plus).

Benefits

Medical Insurance
Dental Insurance
Vision Discount Program
Vision Insurance Plan
Health Savings Account (HSA)
Flexible Spending Account (FSA)
Dependent Care Flexible Spending Account
Employee Assistance Program (EAP)
Group Life and AD&D
Voluntary Supplemental Life Insurance Plans
Short Term Disability
Long Term Disability Income Protection
401k Profit Sharing Retirement Plan - Discretionary Match
Discretionary Bonus
Supplemental Insurance Plans
Prepaid Legal/Identity Theft Plan
Paid Holidays/Vacation/Sick Days
Tuition Reimbursement Program
Notary Services
Employee Referral Bonus
Vendor Discount Programs
Corporate Individual Travel Program

Seven (7) Paid Holidays, Two (2) Week Vacation, Five (5) Sick Days, and One (1) Float Day for CA, NC, and TX
All Other States Receive One Hundred Twenty (120) Hours of PTO

Physical Requirements

Vision, hearing, speech, and movements require the use of wrists, hands, and/or fingers.
Must be able to view a computer screen for extended periods and sit for extended periods.
Must be able to work required hours and days to complete essential functions, as scheduled.
Occasionally lifts up to 50 lbs., and occasionally kneels and bends.
Ability to travel occasionally.
Working conditions include normal office and warehouse settings.
After-hours support and weekend support as needed are requirements of the position.

Mental Demands

Learning, thinking, concentration, and ability to work under pressure during busy times.
Close attention to detail and ability to work as a team to ensure excellent customer service.
Ability to interact effectively with co-workers and customers with self-control and diplomacy.
Discretion and appropriate judgments when needed.
Proactive approach to finding solutions.

EEO Statement

FFF Enterprises and Nufactor are an equal opportunity employer and prohibits discrimination and harassment based on race, color, religion, national origin, physical or mental disability, gender, age (40 years and over), qualified veteran status, and any other characteristic protected by state or federal anti-discrimination law (as defined according to Government Code section 12920).
The company prohibits unlawful discrimination based on the perception that anyone has any of those characteristics or is associated with a person who has or is perceived as having any of those characteristics.

Additional Notes

Compliance with the ADA and consideration of reasonable accommodation measures for eligible applicants/employees who need them to perform essential functions.
Hiring may include passing a medical examination and skill and agility tests.

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1mo ago

VP, Data Product Manager

Ledgent Technology San Diego, CA

San Diego, CA

1mo ago Closed

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

This position is no longer accepting applications (closed Aug 12, 2026).

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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