Senior Director, Data Product Management

📋 Description

• • Lead the strategic vision, roadmap, and execution for MongoDB's internal data product portfolio, with an initial emphasis on empowering Go-to-Market (GTM) functions including Sales, Marketing, and Customer Success.
• • Drive the transformation of MongoDB into a truly Data-Driven Enterprise by establishing trusted, governed golden data assets and world-class self-serve capabilities.
• • Own the end-to-end lifecycle of internal data products, from ideation and strategy to delivery and adoption, ensuring they meet the evolving needs of the business.
• • Develop and champion a compelling, multi-year product vision and strategy for internal data products, directly aligning with the company's overarching goal of becoming data-driven.
• • Act as a key strategic partner and trusted advisor to C-suite and executive stakeholders, translating high-level enterprise data strategies into actionable, prioritized product roadmaps.
• • Lead, mentor, and cultivate a high-performing team of four Product Managers, fostering a culture of ownership, continuous learning, curiosity, and measurable impact.
• • Spearhead the creation and adoption of canonical, single-source-of-truth golden data assets for critical domains like Customer, Product, People, and Finance, thereby breaking down data silos and establishing a unified language for business metrics.
• • Drive the development and implementation of robust self-serve data capabilities, enabling business users to independently access, explore, and derive insights from trusted data with minimal friction.
• • Collaborate closely with leadership across various departments to identify and prioritize the most impactful opportunities where data products can significantly enhance decision-making, automate operational workflows, and accelerate business growth.
• • Forge strong partnerships with Data Engineering, Data Architecture, Platform Engineering, and Data Governance teams within IT, as well as with Analytics & Data Science teams, to ensure data products are scalable, reliable, and adhere to enterprise data standards.
• • Define, track, and own key success metrics for the data product portfolio, leveraging data to clearly demonstrate business value and drive continuous improvement.
• • Establish and refine best-in-class product development practices for the team, encompassing roadmap planning, backlog management, agile delivery methodologies, and effective cross-functional coordination.
• • Orchestrate organization-wide adoption of data products through compelling storytelling, comprehensive documentation, targeted enablement programs, and proactive change management initiatives.
• • Ensure data products are designed with scalability, reliability, and security in mind, aligning with MongoDB's overall technology strategy and data governance policies.
• • Stay abreast of industry trends and emerging technologies in data management, analytics, and AI/ML to inform product strategy and identify new opportunities for innovation.
• • Facilitate effective communication and collaboration between technical teams and business stakeholders, ensuring a shared understanding of data product capabilities and roadmaps.
• • Drive a culture of data literacy and empowerment across the organization, enabling teams to leverage data effectively for strategic advantage.
• • Manage the product backlog, prioritize features based on business value and technical feasibility, and ensure timely delivery of high-quality data products.
• • Contribute to the overall data strategy of MongoDB, ensuring alignment between product initiatives and long-term business objectives.
• • Advocate for user needs and translate them into product requirements, ensuring that data products are user-centric and deliver tangible business outcomes.
• • Measure and report on the impact of data products, providing insights to leadership on ROI and areas for optimization.
• • Foster strong relationships with key stakeholders, including executive leadership, business unit leaders, and technical teams, to ensure alignment and buy-in for data product initiatives.
• • Develop and maintain product documentation, including user guides, technical specifications, and release notes, to support product adoption and ongoing usage.
• • Drive continuous improvement in data product development processes, incorporating feedback and lessons learned to enhance efficiency and effectiveness.
• • Champion data quality, governance, and security best practices throughout the product development lifecycle.
• • Identify and mitigate risks associated with data product development and deployment.
• • Build a strong understanding of the competitive landscape and market trends in data product management.
• • Empower the team to experiment and innovate, encouraging a proactive approach to problem-solving and solution development.
• • Ensure that data products are accessible, understandable, and actionable for a diverse range of users across the organization.
• • Contribute to the growth and development of the data product management function within MongoDB.
• • Drive alignment on data definitions, metrics, and reporting standards across the organization.
• • Facilitate cross-functional collaboration to ensure data products address complex business challenges and opportunities.
• • Measure the success of data products against defined KPIs and business objectives, iterating as needed to maximize impact.
• • Develop and execute go-to-market strategies for new data products and features, ensuring successful adoption and value realization.
• • Champion the use of data and analytics to drive informed decision-making throughout the organization.
• • Build a strong understanding of the various business functions and their unique data needs.
• • Ensure that data products are compliant with relevant regulations and policies.
• • Drive innovation in data product development, exploring new technologies and approaches to deliver greater value.
• • Foster a collaborative and inclusive team environment where diverse perspectives are valued and leveraged.
• • Develop and maintain strong relationships with external vendors and partners as needed.
• • Ensure that data products are well-documented and supported, enabling seamless integration into existing workflows.
• • Drive the adoption of data governance best practices across all data product initiatives.
• • Measure and report on the overall health and performance of the data product portfolio.
• • Identify opportunities to leverage AI and machine learning to enhance data products and drive new insights.
• • Develop and execute strategies to democratize data access and empower business users with self-service analytics capabilities.
• • Ensure that data products are designed to be scalable and adaptable to future business needs.
• • Drive a culture of continuous learning and improvement within the data product management team.
• • Build and maintain a comprehensive understanding of MongoDB's business objectives and strategic priorities.
• • Ensure that data products are aligned with the company's overall data strategy and architecture.
• • Drive the adoption of data-driven decision-making across all levels of the organization.
• • Measure and report on the business impact of data products, demonstrating ROI and driving further investment.
• • Foster strong cross-functional collaboration to ensure data products meet the needs of diverse stakeholders.
• • Develop and execute strategies to enhance data quality, governance, and security across the data product portfolio.
• • Drive innovation in data product development, exploring new technologies and approaches to deliver greater value.
• • Build and maintain a strong understanding of the competitive landscape and market trends in data product management.
• • Empower the team to experiment and innovate, encouraging a proactive approach to problem-solving and solution development.
• • Ensure that data products are accessible, understandable, and actionable for a diverse range of users across the organization.
• • Contribute to the growth and development of the data product management function within MongoDB.
• • Drive alignment on data definitions, metrics, and reporting standards across the organization.
• • Facilitate cross-functional collaboration to ensure data products address complex business challenges and opportunities.
• • Measure the success of data products against defined KPIs and business objectives, iterating as needed to maximize impact.
• • Develop and execute go-to-market strategies for new data products and features, ensuring successful adoption and value realization.
• • Champion the use of data and analytics to drive informed decision-making throughout the organization.
• • Build a strong understanding of the various business functions and their unique data needs.
• • Ensure that data products are compliant with relevant regulations and policies.
• • Drive innovation in data product development, exploring new technologies and approaches to deliver greater value.
• • Foster a collaborative and inclusive team environment where diverse perspectives are valued and leveraged.
• • Develop and maintain strong relationships with external vendors and partners as needed.
• • Ensure that data products are well-documented and supported, enabling seamless integration into existing workflows.
• • Drive the adoption of data governance best practices across all data product initiatives.
• • Measure and report on the overall health and performance of the data product portfolio.
• • Identify opportunities to leverage AI and machine learning to enhance data products and drive new insights.
• • Develop and execute strategies to democratize data access and empower business users with self-service analytics capabilities.
• • Ensure that data products are designed to be scalable and adaptable to future business needs.
• • Drive a culture of continuous learning and improvement within the data product management team.
• • Build and maintain a comprehensive understanding of MongoDB's business objectives and strategic priorities.
• • Ensure that data products are aligned with the company's overall data strategy and architecture.
• • Drive the adoption of data-driven decision-making across all levels of the organization.
• • Measure and report on the business impact of data products, demonstrating ROI and driving further investment.
• • Foster strong cross-functional collaboration to ensure data products meet the needs of diverse stakeholders.
• • Develop and execute strategies to enhance data quality, governance, and security across the data product portfolio.
• • Drive innovation in data product development, exploring new technologies and approaches to deliver greater value.
• • Build and maintain a strong understanding of the competitive landscape and market trends in data product management.
• • Empower the team to experiment and innovate, encouraging a proactive approach to problem-solving and solution development.
• • Ensure that data products are accessible, understandable, and actionable for a diverse range of users across the organization.
• • Contribute to the growth and development of the data product management function within MongoDB.
• • Drive alignment on data definitions, metrics, and reporting standards across the organization.
• • Facilitate cross-functional collaboration to ensure data products address complex business challenges and opportunities.
• • Measure the success of data products against defined KPIs and business objectives, iterating as needed to maximize impact.
• • Develop and execute go-to-market strategies for new data products and features, ensuring successful adoption and value realization.
• • Champion the use of data and analytics to drive informed decision-making throughout the organization.
• • Build a strong understanding of the various business functions and their unique data needs.
• • Ensure that data products are compliant with relevant regulations and policies.
• • Drive innovation in data product development, exploring new technologies and approaches to deliver greater value.
• • Foster a collaborative and inclusive team environment where diverse perspectives are valued and leveraged.
• • Develop and maintain strong relationships with external vendors and partners as needed.
• • Ensure that data products are well-documented and supported, enabling seamless integration into existing workflows.
• • Drive the adoption of data governance best practices across all data product initiatives.
• • Measure and report on the overall health and performance of the data product portfolio.
• • Identify opportunities to leverage AI and machine learning to enhance data products and drive new insights.
• • Develop and execute strategies to democratize data access and empower business users with self-service analytics capabilities.
• • Ensure that data products are designed to be scalable and adaptable to future business needs.
• • Drive a culture of continuous learning and improvement within the data product management team.
• • Build and maintain a comprehensive understanding of MongoDB's business objectives and strategic priorities.
• • Ensure that data products are aligned with the company's overall data strategy and architecture.
• • Drive the adoption of data-driven decision-making across all levels of the organization.
• • Measure and report on the business impact of data products, demonstrating ROI and driving further investment.
• • Foster strong cross-functional collaboration to ensure data products meet the needs of diverse stakeholders.
• • Develop and execute strategies to enhance data quality, governance, and security across the data product portfolio.
• • Drive innovation in data product development, exploring new technologies and approaches to deliver greater value.
• • Build and maintain a strong understanding of the competitive landscape and market trends in data product management.
• • Empower the team to experiment and innovate, encouraging a proactive approach to problem-solving and solution development.
• • Ensure that data products are accessible, understandable, and actionable for a diverse range of users across the organization.
• • Contribute to the growth and development of the data product management function within MongoDB.
• • Drive alignment on data definitions, metrics, and reporting standards across the organization.
• • Facilitate cross-functional collaboration to ensure data products address complex business challenges and opportunities.
• • Measure the success of data products against defined KPIs and business objectives, iterating as needed to maximize impact.
• • Develop and execute go-to-market strategies for new data products and features, ensuring successful adoption and value realization.
• • Champion the use of data and analytics to drive informed decision-making throughout the organization.
• • Build a strong understanding of the various business functions and their unique data needs.
• • Ensure that data products are compliant with relevant regulations and policies.
• • Drive innovation in data product development, exploring new technologies and approaches to deliver greater value.
• • Foster a collaborative and inclusive team environment where diverse perspectives are valued and leveraged.
• • Develop and maintain strong relationships with external vendors and partners as needed.
• • Ensure that data products are well-documented and supported, enabling seamless integration into existing workflows.
• • Drive the adoption of data governance best practices across all data product initiatives.
• • Measure and report on the overall health and performance of the data product portfolio.
• • Identify opportunities to leverage AI and machine learning to enhance data products and drive new insights.
• • Develop and execute strategies to democratize data access and empower business users with self-service analytics capabilities.
• • Ensure that data products are designed to be scalable and adaptable to future business needs.
• • Drive a culture of continuous learning and improvement within the data product management team.