Tiger Analytics is an advanced analytics consulting firm recognized for our deep expertise in Data Science, Machine Learning, and AI. Our partnerships with Fortune 100 companies enable us to tackle complex business chall…
Skills: Data Product Management, Cloud Data Architecture, Data Engineering, Agile, Scrum
ID.me
Vice President Communications
Mountain View, California, United States · On-site
$275k–$350k/yr
Senior+$814M raised
Company Overview ID.me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with ID.me once and seamlessly login across …
Skills: Strategic Communications, Public Relations, Crisis Management, Executive Thought Leadership, Media Relations
ID.me
SOC Analyst
McLean, Virginia, United States · On-site
$96k–$112k/yr
Entry level$814M raised
Company Overview ID.me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with ID.me once and seamlessly login across …
Mountain View, California, United States · On-site
$107k–$170k/yr
Mid level$814M raised
Company Overview ID.me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with ID.me once and seamlessly login across …
Skills: IT operations, Systems engineering, Python, Bash, API integration
ID.me
Developer Marketing Manager
Mountain View, California, United States · On-site
Senior+$814M raised
Company Overview ID.me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with ID.me once and seamlessly login across …
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Skills: Network engineering, TCP/IP, OSI model, AWS networking, Terraform
Sr. Staff Engineer - Global Payment Network (Remote Eligible)
Chicago, Illinois, United States · Remote OK
$286k–$359k/yr
Senior+Visa sponsorship$5.5B raised
Sr. Staff Engineer - Global Payment Network (Remote Eligible) As a Sr. Staff Engineer at Capital One, you will be a part of a community of technical experts working to define the future of payments in the cloud. You will…
Skills: Software Engineering, Distributed Systems, Public Cloud, Java, Python
Lead Software Engineer, Backend Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? A…
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Salesforc…
Skills: Data architecture, Data modeling, Master data management, Metadata management, Relational modeling
University - Product Engineer The Opportunity: Are you looking for an opportunity to not just develop software, but to build cutting-edge AI-powered security systems that protect organizations from cyber threats? As a Pr…
Skills: Python, API integration, REST APIs, Webhooks, JSON
Distinguished Software Engineer - Identity As a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud. The Mission: We are movi…
Manager, Cyber Audit and Regulatory Engagements As a Manager of Cyber Audits and Exams at Capital One, you will work closely across the Cybersecurity organization to coordinate and execute on audit, regulatory and execut…
Director, Product Management, Servicing Strategy Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and su…
Lead Software Engineer, Full Stack Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment…
Staff Engineer - Global Payments Network As a Staff Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud. The Global Payment Network (GPN) T…
Type of Requisition: Regular Clearance Level Must Currently Possess: Top Secret SCI + Polygraph Clearance Level Must Be Able to Obtain: Top Secret SCI + Polygraph Public Trust/Other Required: None Job Family: IT Infrastr…
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Salesforc…
Skills: Data architecture, Data modeling, Master data management, Metadata management, Relational modeling
Senior Manager, Software Engineering, Front End Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative deliver…
Skills: Software engineering, Front end development, JavaScript, Angular, React
Type of Requisition: Regular Clearance Level Must Currently Possess: Top Secret/SCI Clearance Level Must Be Able to Obtain: Top Secret/SCI Public Trust/Other Required: None Job Family: Cyber and IT Risk Management Job Qu…
Skills: Cybersecurity, Red Hat Linux, Splunk, Tenable Security Center, Active Directory
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Full-time
Posted 16d ago
~40 hrs/week
Responsibilities
The Data Product Owner will bridge the gap between source system teams, data engineering, and business stakeholders to deliver high-value analytical solutions. They are responsible for defining requirements, prioritizing development tasks, and ensuring data quality and availability for downstream consumers.
Requirements
Candidates must have 7+ years of experience in enterprise data or analytics projects with a strong understanding of modern cloud data architectures. Proficiency in data engineering practices, Agile methodologies, and stakeholder management is essential for this role.
Full job description
Tiger Analytics is an advanced analytics consulting firm recognized for our deep expertise in Data Science, Machine Learning, and AI. Our partnerships with Fortune 100 companies enable us to tackle complex business challenges and drive value through innovative analytical solutions.
We are looking for an experienced Data Product Owner who can bridge the gap between source system teams, data engineering, business stakeholders, and downstream data consumers. The ideal candidate will have strong experience working on enterprise data projects and a solid understanding of modern cloud data architectures, data products, data quality, data contracts, and engineering delivery practices.
Responsibilities-
Partner with source-system owners, SMEs, and technology teams to understand modern cloud-based Systems of Record (SORs) and the data they produce.
Understand and document source systems, data attributes, business definitions, relationships, rules, constraints, and dependencies.
Identify the types of business insights, KPIs, metrics, and downstream use cases that can be supported by the underlying data.
Develop a strong understanding of data availability, SLA, latency, timeliness, and freshness requirements for downstream data products.
Translate source-system knowledge into clear and actionable requirements for data engineering teams.
Work closely with Data Engineers, Architects, Developers, QA, and other technical teams on a day-to-day basis.
Validate technical assumptions and clarify requirements, dependencies, priorities, and acceptance criteria.
Prioritize data product development tasks and help engineering teams remove blockers.
Facilitate communication between engineering teams and source-system SMEs for connectivity, access, sample data, data availability, and technical dependencies.
Define and enable appropriate data testing and validation strategies.
Support engineering teams throughout development, testing, deployment, and production release.
10+ years of experience working on enterprise data, analytics, data product, or technology projects.
Strong experience working with data engineering teams and enterprise data platforms.
Experience working with source systems/SORs and understanding data attributes, business rules, constraints, and downstream use cases.
Strong understanding of modern cloud data architecture and data lifecycle.
Hands-on understanding of: Data ingestion, ETL/ELT, Bronze/Silver/Gold architecture, Data quality, Data catalog, Data lineage, Data contracts, Data testing
Experience working with Agile/Scrum engineering teams.
Understanding of CI/CD, DevOps, release management, and testing practices for data platforms.
Strong requirements gathering, documentation, prioritization, and stakeholder management skills.
Ability to work effectively between business stakeholders and technical engineering teams.
Strong analytical and problem-solving skills.
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
Related keywords
Data Product OwnerCloud Data ArchitectureData EngineeringMachine LearningAIData ScienceSystems of RecordKPIsSLAData IngestionETLELTBronze/Silver/Gold ArchitectureData QualityData CatalogData Lineage
We are a global leader in AI and Analytics. We provide certainty to shape a better tomorrow.
Industry
Business Consulting and Services
Company size
5,001-10,000 employees
Founded
2011
Headquarters
Santa Clara, CA
LinkedIn followers
659,540
In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale.
Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge Data & AI solutions. We go beyond standard playbooks and best practices, and forge new ones.
If you’re keen to reimagine what AI can do for some of the toughest problems out there, come join our team of 5000+ brilliant technologists and consultants. Explore opportunities across our offices in the US, India, Canada, Mexico, UK, Spain, Singapore and Australia.
Offices: 2350 Mission College Blvd, Ste# 495, Santa Clara, CA 95054, US · 111 Town Square Pl, Jersey City, New Jersey 07310, US · 36 Robinson Rd, Singapore, Singapore 068877, SG · 55 E Monroe, Suite 3800, Chicago, Illinois 60603, US · 5151 Headquarters Dr, Plano, Texas 75024, US
Machine LearningPredictive AnalyticsForecastingNatural Language ProcessingComputer VisionCloud Data Platform EngineeringData-as-a-serviceLean Data GovernanceModern BI & Data WarehousingAI/ML Ops
Based on 1638 listings with disclosed salaries, most technology jobs in McLean, VA pay between $100k–$246k per year. Individual offers vary with seniority, company size, and specialization.
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