Sr. Manager/Associate Director, Data Cloud Applications

Responsibilities

• Lead the end-to-end development of high-visibility Data Cloud intelligence applications within ZMP, transforming large-scale, multi-source data signals into intuitive, enterprise ready visualization and decision experiences.
• Define product vision and MVP scope aligned to business objectives and platform adoption goals; plan phased releases that continuously enhance client value and user engagement.
• Author clear and comprehensive PRDs, scope functional and non-functional requirements, and manage execution across the full product development lifecycle — from ideation through release and iteration.
• Partner closely with global cross-functional teams including Design, Front-End Engineering, Backend/Data Engineering, Analytics, Automation, AI, and QA to architect scalable, high-quality applications within ambitious timelines.
• Drive the integration of AI-native capabilities powered by Athena by Zeta™ , such as automated intelligence generation, contextual summaries, and conversational data exploration — ensuring outputs are accurate, explainable, and grounded in governed data.
• Own execution discipline across concurrent initiatives by proactively managing dependencies, mitigating risks, and ensuring timely delivery in coordination with scrum and program management functions.
• Act as a liaison between cross-functional teams and senior leadership, providing transparency into progress, trade-offs, and release plans while advocating for resources and removing roadblocks.
• Support post-launch adoption and usage by partnering with GTM teams, participating in client demonstrations, tracking performance metrics, and incorporating stakeholder feedback into iterative enhancements.
• Help prioritize application development in alignment with the broader roadmap, while mentoring junior team members and fostering accountability, quality standards, and execution rigor within the team.

Qualifications/Skills needed

• 7+ years of experience managing SaaS products, preferably in B2B or enterprise environments.
• High-agency leader with the ability to make sound, data-informed decisions in ambiguous, fast-paced environments.
• Strong growth mindset with a track record of identifying gaps, driving improvements, and delivering measurable impact.
• Proven ability to operate with agility, effectively re-prioritize, and adapt to evolving business needs and technology trends.
• Hands-on experience building and managing technology products across the full development lifecycle.
• Solid understanding of data analysis and data visualization principles, with experience guiding teams on analytical approaches and delivering compelling data-driven storytelling.
• Familiarity with AI-enabled product experiences such as automated insight generation and conversational interfaces, and an understanding of responsible AI integration within enterprise applications.
• Strong knowledge of the digital marketing and advertising ecosystem and how data and technology drive customer engagement and outcomes.
• Strong leadership and mentoring skills.

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