Sr. Data Product Owner (Enterprise) Glendale-hybrid

Title: Sr. Data Product Owner (Enterprise) Location: Glendale CA (hybrid 1-2 days on-site) Duration: 12 months Compensation: $84-94/hr. Work Requirements: US Citizen, GC Holders, or Authorized to Work in the U.S. Looking to hire an experienced Data Product Owner to lead the effort to create datasets, reports, and web apps used by the marketing and production teams. The Technology group is comprised of intentional teams providing scalable, secure, and innovative technology solutions. This role is embedded within an internal data engineering team. The Data Product Owner will work with an agile team of data and reporting engineers and provide both roadmap direction and day-to-day oversight. Our team is focused on empowering the analysts, data scientists, and operations to make data-driven decisions, and this role will help us meaningfully further that mission. Collaborating closely with cross-functional teams, you will ensure that our data products add value to our business stakeholders. Responsibilities: Coordinate the ingestion, aggregation, and materialization of small-to-medium-to-very-big tables used by data analysts and scientists Lead the design and development of data visualizations, dashboards, and custom web applications. Create and socialize team roadmaps internally and with key stakeholders. Foster collaboration between engineering and business units. Audit and evaluate our existing reports and BI systems usage for best practices and optimization opportunities. Platform Strategy & Roadmap: Define the vision, strategy, and roadmap for the data platform based on business priorities, technical scalability, and security requirements. Create user stories, bugs, and tasks to accomplish the initiatives. Platform Optimization: Work closely with the data team to design and implement new features. Identify opportunities to automate tasks, leverage technology, and streamline the delivery of data. Identify and mitigate risk and ensure controls are in place throughout the data delivery lifecycle. Lead initiatives to improve governance, security, efficient data processing, costs, and CI/CD. Team Management: Work closely with specialized scrum teams focused on business insights and machine learning. Managing other product managers and dev/ops personnel. Onboarding and mentoring new team members and fostering a culture of innovation and accountability. Stakeholder Management: Act as a liaison between engineering (system and data), business units, and executive leadership. Maintain alignment with other product managers across the organization. Analyze feedback from users to improve our platform offerings. Product Oversight: Oversee the lifecycle of platform development, from concept to deployment, ensuring alignment with business goals and technical specifications. Collaboration: Work closely with executive leadership, data scientists, engineers, and analysts to ensure accurate data collection, modeling, and insights generation, while maintaining strong partnerships across various teams. Vendor & Stakeholder Management: Manage relationships with key software vendors, such as Databricks, and oversee the consultants team to ensure projects are delivered successfully. Systems Integration: Product lead the evaluation, integration, and deployment of new data systems, including Alation, Tableau Cloud, Dataiku, SecuiPi, Immuta, Neo4j, as well as internally developed applications. Data Governance & Compliance: Ensure the reliability, quality, and governance of data platforms, aligning with industry best practices and compliance regulations. Qualification: Over seven years of experience in the data technology industry, primarily in roles focused on data engagement—from interpreting data to its precise application for business objectives. Adept at distilling precise requirements from vague business demands, and guiding product discovery. Ability to clearly communicate with executive-level stakeholders. Experience with data: statistics, data cleansing, and data wrangling. Scripting languages (i.e. Python, R) and big data technologies (i.e. Databricks, Snowflake) are a huge plus. Experience working with major data visualization or business intelligence tools: Tableau, PowerBI, etc. Advanced or expert SQL programming. Comfortable designing data schemas, writing user stories, and fabricating test data sets with 7 years of relevant experience. Bachelor’s or Master’s degree in Data Science, Computer Science, Information Technology, Business, or a related field. Familiarity with data warehouse and data lake platforms such as Snowflake and Databricks, along with a foundational understanding of their operations. Strong understanding of data modeling, data architecture, and data warehousing principles. >>> Qualified candidates please apply to this posting; you may also send your updated resume to Krista Joy at kjoyinspyrsolutions.com for further review. Our benefits package includes: Comprehensive medical benefits Competitive pay 401(k) retirement plan and much more About INSPYR Solutions Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our client’s business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, projects, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com. INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.