Job Responsibilities
- Champion data publishing and processing offerings to integrate with firm-wide products; contribute to the vision for the product and improve technical solutions in data publishing and processing: Data Delivery, Data Lake, and Data Pipeline.
- Actively engage with key customers and leadership to represent customers’ platform needs from data publishing and processing teams and vice versa, influencing the creation of objectives, key results, and roadmaps.
- Build product roadmaps and program charters to initiate and scale specific critical initiatives in data publishing and processing.
- Track execution and solve any blockers.
- Partner with data publishing and processing team’s product and program managers to execute across cross-cutting product features.
- Develop mechanisms for execution, collaboration, and prioritization.
- Provide status updates, liaise with customers, and collect feedback on the product to enhance feature requirements based on their needs and vision.
- Track progress of portfolio of products, feature roadmaps, and customer adoption. Provide visibility into roadmap and contribute to strategic planning.
- Address backlog and prioritization, track engagement of data publishing and processing teams by managing customer need/platform support matrix and customer requests.
Required Qualifications, Capabilities, and Skills
- 5 years as a Technical Product Manager in a large matrixed organization in multiple time zones.
- Confidently influence and tactfully lead from the front without specific authority.
- Willing to deep dive technically and thrive in environments where your customers and partners are technical.
- Embrace ambiguity and define clear strategies and priorities.
- Problem solver seeking win-win solutions. Eager to learn and share.
- Excellent communication and the ability to present to an executive audience.
- Detail-oriented and passionate about delivering customer-focused end-to-end solutions.
Preferred Qualifications, Capabilities, and Skills
- 2 to 4 years of hands-on experience in Big Data tools, infrastructure, and related technology.
- AWS Solution Architect and AWS data Analytics Certification (or will be required to complete the AWS certification exam in the first 90 days).