Principal Data & AI Product Manager

Responsibilities

• What You'll Be Responsible For:
• Conduct thorough market research, user interviews, and data analysis to identify unmet needs and opportunities for data and AI-driven solutions.
• Lead the dissection of complex, ambiguous, and cross-functional problems into clear, phased product strategies that deliver measurable customer and business outcomes.
• Drive cross-organizational alignment on investment and prioritization, balancing trade-offs between competing priorities across product portfolios and business units.
• Transform user needs and business requirements into detailed product specifications, user stories, and acceptance criteria for engineering and data science teams.
• Effectively prioritize features and initiatives based on business value, technical feasibility, and user impact, ensuring a well-defined and groomed product backlog.
• Serve as a subject matter expert and primary product voice for executive reviews and high-stakes customer and partner engagements.
• Engage with customers frequently to share the roadmap, collect feedback, and develop a deep understanding of their needs and challenges.
• Continuously research and evaluate emerging trends and technologies in data science, machine learning, and AI to identify opportunities for innovation.
• Mentor and coach Product Managers across the organization on data-driven product strategy, technical fluency, and product execution best practices.
• Ensure that all data and AI products are developed and deployed with a strong focus on data privacy, security, and ethical considerations.

Requirements

• 10-12+ years of progressive product leadership experience, including successfully defining and launching 0-to-1 and 1-to-N enterprise data/AI products at scale.
• Strong understanding of data science principles, machine learning algorithms, and AI technologies.
• Experience collaborating with or within companies like ZoomInfo, 6sense, Demandbase, or similar RevTech leaders.
• Experience working with large datasets, data pipelines, and cloud-based data platforms (e.g., AWS, Azure, GCP).
• Excellent analytical and problem-solving skills, with the ability to interpret data and derive actionable insights.
• A customer-centric mindset with a passion for solving user problems.
• Strong communication, presentation, and interpersonal skills, with the ability to influence and collaborate effectively across diverse teams.
• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field. A Master's degree or MBA is highly preferred.

Additional Information

HG Insights is a leader in technology intelligence, providing data-driven insights that help businesses make strategic decisions about technology investments and market opportunities. We transform raw data into actionable intelligence that drives revenue growth and competitive advantage for our customers.

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