Job Details

ID #53530784
Estado Virginia
Ciudad Tysonscorner
Tipo de trabajo Full-time
Salario USD TBD TBD
Fuente MicroStrategy
Showed 2025-02-26
Fecha 2025-02-26
Fecha tope 2025-04-27
Categoría Etcétera
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Aplica ya

Vice President, Product Management

Virginia, Tysonscorner 00000 Tysonscorner USA
Aplica ya

The Role: Strategy is seeking a dynamic and visionary Vice President of Product Management with a strong background in data analytics to lead our data product portfolio. This leadership role is instrumental in shaping and executing MicroStrategy's data and analytics strategy, driving innovation, and delivering state-of-the-art data solutions to our customers. In-Office Position: At Strategy, Monday, Tuesday, Wednesday, and Thursday are in-office days with Fridays as work-from-home. Your Focus: Develop and execute a comprehensive data and analytics product strategy aligned with the company's overall vision and goals. Define the product roadmap and set clear priorities to drive product development. Conduct market research and analysis to identify trends, competitive landscapes, and customer needs in the data and analytics domain. Use these insights to inform product strategy and make data-driven decisions. Build and lead a high-performing product management team, fostering a culture of innovation, collaboration, and excellence. Provide mentorship and guidance to team members. Work closely with cross-functional teams to drive the development of data and analytics products. Ensure product quality, usability, and timely delivery. Establish strong relationships with key customers, gathering feedback and insights to continuously improve data products. Act as a customer advocate within the organization. Drive revenue growth through effective pricing strategies, product packaging, and expansion into new markets. Collaborate with sales and marketing teams to achieve revenue targets. Stay abreast of the latest advancements in data analytics technology and apply this knowledge to enhance Strategy's product offerings. Ensure data products comply with relevant regulations and security standards. Implement best practices for data privacy and security. Define key performance indicators (KPIs) and regularly report on the performance of data products. Use data to assess product effectiveness and make improvements. 

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