Rate Range: $96/hr on W2 depending on experience (no C2C or 1099 or sub-contract)
Work Authorization: GC, USC, All valid EADs except H1b
Top Skills:
Important to have:
Data Product experience is required, 7 plus years.
Proficiency with SQL.
Data Governance is nice to have but not required.
Snowflake or Databricks-this is not an engineering role but needs to have experience with either technologies.
Must have experience working with Data Engineers.
Write user stories.
Manage stakeholder relationships.
Media and entertainment is a plus but not required.
Description:
The Studio Technology group is looking to hire an experienced Data Product Owner to lead the effort to create datasets, reports, and webapps used by the Studios marketing and production teams. The Studio Technology group comprises intentional teams providing scalable, secure, and innovative technology solutions to enable the present and future of cinematic storytelling. 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 for 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 overseeing 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.
Basic Qualifications:
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, 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, fabricating test data sets
? 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.
? Experience with data visualization tools (e.g., Tableau, PowerBI) and analytics platforms.
? Excellent communication and interpersonal skills to effectively convey complex data insights to non-technical stakeholders.
? Exceptional skills in navigating complex organizational structures and building relationships with stakeholders from various functional roles.
? Strong problem-solving skills and the ability to manage multiple projects simultaneously.