Description/Comment:

• 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 hyper case 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.

Basic Qualifications:

• Minimum of 7 years of product management experience with strong focus on building and delivering successful data products, services, and capabilities
• 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.
• 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 and familiarity with common data science models and approaches to problem-solving. Generally: the ability to plan for what analysis 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.

Required Education:

• Bachelor s degree in a relevant field required, such as Engineering, Math, Science, Economics, etc.

Notes:

• In-office role; Mon -Thurs. initially.
• Must be strong in data warehousing principles including data management, dimensional modelling, data pipelines, etc.
• Experience with BI tools like Tableau needed.
• Will be dealing with very large data sets.
• Communication skills needed in stakeholder management and roadmaps are involved.
• And must have strong "data chops" SQL.

About US Tech Solutions:

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit .