Contract: 2 Years (Extension/ Conversion Likely)
Location: Santa Monica, California (Hybrid Schedule)
Position: Principal Data Product Manager
Pay rate: $95-$108/hr, DOE
Responsibilities:
- Data Requirement elicitation, scope definition and PRD documentation through stakeholder interviews that span Business Teams, Technology team, Data Engineers, Analysts and internal/external Compliance teams.
- Act as a Data strategist and subject matter expert for Content Data products and seamlessly navigate every layer of the Data stack to identify opportunities to solve project challenges, including being hands-on in investigating complex / large scale data sets.
- Partnering with peer Data Product Managers, Program Managers and Engineering leads to articulate problem/solution context, develop roadmaps, iterate on designs and see through project execution until launch and hypercase phases.
- Manage day-to-day Product Management activities related to multiple scrum teams consisting of Data Engineers & Analysts, including writing user stories, managing story-maps, running backlog refinement, ticket prioritization, reviewing designs and UAT sign off.
- Work with minimal oversight /guidance in a large matrixed organization with complex tech & data ecosystems; take initiative to simplify and articulate trade-off decisions to business and technical leadership.
Requirements:
- Minimum of 10+ years of product management experience with strong focus on building and delivering successful data products, services and capabilities
- Bachelor’s degree in a relevant field required, such as Engineering, Math, Science, Economics, etc.
- Strong foundational understanding of Big Data ecosystems to make trade-off decisions while developing end to end solutions on Cloud/On-Prem/Hybrid Data tech stack.
- Must have experience with BI tools, data pipelines, and building data products.
- Experience balancing new product development with maintaining day-to-day data reporting operations in a very large scale enterprise set up
- Experience utilizing both qualitative analysis and quantitative analysis techniques
- familiarity with common data science models and approaches to problem-solving.
- Generally: the ability to plan for what analysts and data scientists need to deliver.
- Planning acumen and proven ability to break down work, define an MVP, as well as subsequent iterations and track feature adoption to inform roadmap development.
- Experience demonstrating leadership, self-motivation, accountability with strong technical, strategic and problem-solving skills to drive change in a large matrix organization.
Nice to have:
- Experience in the Media and Entertainment Industry, especially around managing Content Metadata Mastering in Reporting and Analytics Context.
- Experience working closely with Data Engineers, Data Analysts and Data Scientists in solving complex data-related business challenges and developing short and long term outcomes.
- Hands on SQL experience and comfortable exploring data sets for exploratory and analytical evaluations
- Comfort in presenting to data-savvy organizational leaders from a product management perspective and driving win-win outcomes for the teams.
Benefits that Russell Tobin offers:
Russell Tobin offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), a 401(k)-retirement savings, life & disability insurance, an employee assistance program, identity theft protection, legal support, auto and home insurance, pet insurance, and employee discounts with some preferred vendors.
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