Senior Data Product Manager - Executive Software Guild

Job Description

Leads and drives the successful launch of sophisticated data product initiatives, demonstrating a proven track record of delivering high-quality products on time and within budget. These data products are used to deliver data-driven insights through reporting, analytics and AI. Possesses expertise in crafting and implementing effective go-to-market strategies. Takes ownership of the entire product lifecycle, from initial ideation to launch and beyond. Proactively engages in identifying and assessing potential business or technology partnerships, conducting thorough due diligence. Effectively collaborates with both technical and non-technical stakeholders, gathering and prioritizing product and customer requirements. Demonstrates a keen understanding of the competitive landscape and industry trends. Develops compelling business cases and strategies, aligning them with market demands. Collaborates closely with engineering, sales, marketing, and support teams to ensure seamless coordination and achievement of revenue and customer satisfaction objectives. Excels in building strong partnerships across various functions to drive the overall success of data product initiatives.

Key Outcomes

• Communicate regularly with key internal and external constituents.
• Form product hypotheses, design test plans, and communicate learnings back into product development.
• Continuously prioritize and manage the backlog and upcoming sprints.
• Perform product demos to internal associates and clients as needed.
• Define methods and metrics for identifying success and failure, and iterate quickly.

Skills, Education and Experience

• 5-8+ years of experience in a technical product management role
• Exposure or experience in data products preferred
• Analytical ability to unpack complex problems, synthesize data, and identify root issues
• Can manage multiple projects simultaneously, handle a fast-paced startup environment, meet deadlines, and manage changing priorities
• Fluent in agile development methodologies and tools (e.g JIRA)
• Working knowledge of and ability to apply effective analytical techniques and tools
• Exposure to AI preferred

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