Data Product Operations

Data Product Operations Jobs

3 jobs found

Today

Enterprise Data & Analytics Product Owner

Family Dollar Chesapeake, VA

Chesapeake, VA

Today

$91k - $114k/yr Full time Analytics Business Intelligence Cloud Platforms

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Job Description

Family Dollar is hiring an Enterprise Data & Analytics Product Owner to help shape an enterprise data product strategy and deliver analytics solutions used across the organization. This onsite role in Chesapeake, VA partners closely with business and technical teams to define requirements, manage delivery, and drive data product adoption. The position offers $91,000 to $113,500 per year and is a great fit for a product-minded analytics leader who enjoys turning complex needs into clear, actionable outcomes.

What you’ll do

Partner with the Director to develop and execute the enterprise data product strategy.
Collaborate with Business and Executive teams to develop clear data product requirements across business domains.
Build and own a portfolio of data products, including dashboards, KPIs, semantic data layers, and self-service analytics tools for internal and external stakeholders.
Define UX requirements and user journeys with stakeholders, aligning analytics experiences to how users work.
Work with Analytics partners to create prototypes for metrics, dashboards, and analytical experiences.
Ensure continuous delivery of the data and analytics roadmap by identifying risks, managing scope, and recommending mitigation.
Translate ambiguous business needs and complex analyses into simple, actionable requirements and clear presentations.
Maintain strong cross-functional relationships to keep business and technical teams aligned.
Drive awareness of data best practices, quality standards, and governance processes, including cross-functional implications.
Stay current on industry trends, emerging data technologies, and competitive analytics capabilities to identify improvements and innovation opportunities.
Partner with Data Engineering and Governance to support enterprise standards for data quality, lineage, definitions, and reliability.
Lead user research, feedback sessions, and change management to improve usability and adoption.
Create documentation such as PRDs, user stories, acceptance criteria, release notes, and user guides.

What you’ll need

Bachelor’s degree in Business, Information Technology, Analytics, or a related field.
3+ years of experience in product ownership, data analytics, business intelligence, or related functions.
3+ years hands-on experience with analytics, data, or visualization tools.
Strong analytical and critical-thinking skills, including the ability to build business cases, measure impact, and present results to senior leadership.
Proven relationship-building, negotiation, and communication skills, with the ability to influence without authority.
High attention to detail and the ability to manage multiple priorities in a fast-paced, changing environment.
Demonstrated experience developing and coaching team members or direct reports.
Experience with large-scale data technologies or big data environments.
Strong proficiency in SQL (with BigQuery preferred) and BI tools such as MicroStrategy, Tableau, or Power BI.
Exceptional verbal and written communication skills, including executive presentations.
Familiarity with Agile and experience writing epics, user stories, and acceptance criteria.
Plus: understanding of data modeling, ETL/ELT pipelines, data quality, and semantic layers.
Strong advantage: experience with data governance, KPI definition, product success metrics, or self-service analytics.
Helpful but not required: experience in retail, supply chain, or eCommerce.

Tools & technologies

SQL, BigQuery, MicroStrategy, Tableau, Power BI
Agile
ETL/ELT

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1mo ago

Lead Product Operations Manager (Data)

DailyPay New York, NY

New York, NY

1mo ago Closed

$136k - $209k/yr Full time Manager Data Product Operations Management

This position is no longer accepting applications (closed Nov 6, 2026).

Job Description

DailyPay is building for operational excellence across its R&D organization, and the Product Operations Lead for Data plays a central role in making that happen. This onsite position in New York, NY supports the Data squad alongside the Senior Director of Data Science, helping scale machine learning model launches and updates, strengthen AI-powered feature delivery across vertical squads, and improve experimentation tooling and performance measurement. You will also partner closely with Finance and Data Analytics to align KPIs across the Product organization and ensure teams have the dashboards and reporting they need.

Compensation: $136,000 - $209,000 per year. Experience: 6+ years.

What you will do

Identify and analyze moderately complex friction points across the product lifecycle, from discovery through launch, and propose practical solutions.
Streamline operational workflows and maintain process hygiene across squads to support consistent delivery velocity and alignment.
Build effective cross-functional relationships across Product, Engineering, Design, and other stakeholders to drive execution and keep expectations clear.
Ensure the right contributors and cross-functional stakeholders are engaged at the right time, with aligned expectations.
Support continuous monitoring of KPIs and OKRs, translating performance signals into data-driven insights for operational decision-making.
Guide your assigned team in turning metrics and performance trends into actionable guidance that improves how squads operate.
Help manage the product tech stack by overseeing roadmapping and collaboration tooling to keep it optimized for team usage.
Assist with quarterly planning and align team efforts with broader business strategy.

Key focus areas

Scale and update machine learning models, and support agentic, predictive, conversational, and assistive AI-powered features across multiple vertical squads.
Improve A/B experimentation tooling and best practices across multiple functions.
Ensure performance visibility through intuitive and accurate dashboards and reports, while helping maintain clean data and strong operational hygiene.
Bridge technical execution and strategic planning across product, engineering, and go-to-market stakeholders.

What you bring

6–10 years in product operations, business operations, or program management.
Proven success supporting a large, complex cross-functional group in a Product Operations and/or Program Management role.
Strong root-cause analysis skills, first-principles thinking, and the ability to proactively resolve conflicts, mitigate risks, and remove impediments independently.
Ability to present clearly and effectively to diverse audiences, including cross-functional stakeholders.
Strong attention to detail and the ability to manage multiple projects at once.
Comfort building a solid understanding of the business and product strategies.
Familiarity with project methodologies and a growing familiarity with financial principles related to product/project delivery.
Experience defining KPIs aligned to team strategies and partnering with data analysts to support dashboards for transparency, monitoring, and action.

Benefits

Exceptional health, vision, and dental care
Opportunity for equity ownership
Life and AD&D, short- and long-term disability
Employee Assistance Program
Employee Resource Groups
Fun company outings and events
Unlimited PTO
401K with company match

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1mo ago

Enterprise Data Product Operations Lead

Bank of America Charlotte, NC

Charlotte, NC

1mo ago Closed

Full time Data Governance Data Platform Data Product Operations

This position is no longer accepting applications (closed Oct 23, 2026).

Job Description

Bank of America is building an enterprise operating model that helps governed data products move from development to certification and publishing with consistent quality and controls. As the Enterprise Data Product Operations Lead (Senior Operations Analyst/Consultant within AMI), you will help establish and own the day-to-day practices, tool health standards, and risk and compliance execution that keep supported applications secure, regulated, and ready for audit.

This onsite role is based in Charlotte, NC (1st shift, 40 hours per week).

What you’ll do

Establish, implement, and own the operational tasks that sustain a scalable operating model, including tools monitoring practices, standard quality routines, and control execution.
Design and deliver a scalable operating approach for AMI’s core tools and platforms, including Starburst.
Provide thought leadership that shapes strategic objectives and improves how enterprise data products are developed and consumed.
Maintain supported applications and tools in compliance with external regulation and internal mandates, including access control and entitlements.
Ensure risk, security, and compliance requirements are completed on time for supported applications.
Monitor and maintain infrastructure health and performance, including vulnerability remediation, software upgrades, and other enhancements.
Coordinate with service providers and partners to maintain environmental stability, compliance, and SLA adherence.
Oversee risk/control design, implement access controls, establish QA practices, and run control testing and quality inspections.
Own issue identification and remediation, track thematic trends, update test scripts, support coaching, and pursue opportunities for automation and AI.
Support regulatory exams and audits through evidence, metrics, and required report-outs.
Partner with executive stakeholders as a key influencer and decision-maker to align governance, risk, and operational strategies with enterprise objectives.
Track and support development team security and risk activities, including application risk assessments.

What you’ll bring

Innovative, forward-looking mindset with process redesign experience, with the ability to challenge the status quo constructively.
Ability to lead through influence and translate complex technical topics into clear, executive-ready narratives.
Self-directed, organized, results-oriented approach with strong attention to documentation and detail.
Knowledge of industry regulations such as GDPR, HIPAA, SOX, and PCI-DSS, and the ability to ensure applications meet required standards.
Experience identifying and mitigating compliance risks related to data privacy, security, and operational processes, including familiarity with vulnerability management and remediation techniques.
Ability to translate technical requirements into business language for non-technical stakeholders, including understanding application architecture and integration points.
Experience aligning application functionality with organizational goals and compliance requirements.
Experience maintaining application inventory, lifecycle documentation, version control, and compliance records.

Helpful background

Experience supporting technical, data, analytics, modeling, or data-platform teams and communicating complex concepts to non-subject-matter-expert audiences.
Familiarity with data and data platforms, including cloud computing, machine learning, statistics, data science, BI, or AI-enabled capabilities.
Understanding of relational and non-relational database concepts, including data modeling, query optimization, and secure data management.
Adequate PowerPoint and Microsoft Office skills to create clear executive-ready materials.
Familiarity with risk frameworks, Single Process Inventory (SPI), and IT governance models, including preparation of documentation and evidence for internal/external audit review.

Tools and compliance areas

Technologies: Starburst, GDPR, HIPAA, SOX, PCI-DSS

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Data Product Operations Jobs

Enterprise Data & Analytics Product Owner

Lead Product Operations Manager (Data)

Enterprise Data Product Operations Lead

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