Principal Data and AI Product Manager

As a Principal Data & AI Product Manager at HG Insights, you will play a crucial role in defining and driving complex, multi-team and department product deliverables. Your primary focus will be leveraging the power of data and AI to solve intricate user problems and create significant business value. You will work closely with engineering, data science, design, and marketing teams to bring cutting-edge solutions to life. Your responsibilities will include: - Conducting thorough market research, user interviews, and data analysis to identify unmet needs and opportunities for data and AI-driven solutions. - Leading the dissection of complex, ambiguous, and cross-functional problems into clear, phased product strategies that deliver measurable customer and business outcomes. - Driving cross-organizational alignment on investment and prioritization, balancing trade-offs between competing priorities across product portfolios and business units. - Transforming user needs and business requirements into detailed product specifications, user stories, and acceptance criteria for engineering and data science teams. - Effectively prioritizing features and initiatives based on business value, technical feasibility, and user impact, ensuring a well-defined and groomed product backlog. - Serving as a subject matter expert and primary product voice for executive reviews and high-stakes customer and partner engagements. - Engaging with customers frequently to share the roadmap, collect feedback, and develop a deep understanding of their needs and challenges. - Continuously researching and evaluating emerging trends and technologies in data science, machine learning, and AI to identify opportunities for innovation. - Mentoring and coaching Product Managers across the organization on data-driven product strategy, technical fluency, and product execution best practices. - Ensuring that all data and AI products are developed and deployed with a strong focus on data privacy, security, and ethical considerations. To be successful in this role, you will need: - 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. As a Principal Data & AI Product Manager at HG Insights, you will play a crucial role in defining and driving complex, multi-team and department product deliverables. Your primary focus will be leveraging the power of data and AI to solve intricate user problems and create significant business value. You will work closely with engineering, data science, design, and marketing teams to bring cutting-edge solutions to life. Your responsibilities will include: - Conducting thorough market research, user interviews, and data analysis to identify unmet needs and opportunities for data and AI-driven solutions. - Leading the dissection of complex, ambiguous, and cross-functional problems into clear, phased product strategies that deliver measurable customer and business outcomes. - Driving cross-organizational alignment on investment and prioritization, balancing trade-offs between competing priorities across product portfolios and business units. - Transforming user needs and business requirements into detailed product specifications, user stories, and acceptance criteria for engineering and data science teams. - Effectively prioritizing features and initiatives based on business value, technical feasibility, and user impact, ensuring a well-defined and groomed product backlog. - Serving as a subject matter expert and primary product voice for executive reviews and high-stakes customer and partner engagements. - Engaging with customers frequently to share the roadmap, collect feedback, and develop a deep understanding of their needs and challenges. - Continuously researching and evaluating emerging trends and technologies in data science, machine learning, and AI to identify opportunities for innovation. - Mentoring and coaching Product Managers across the organization on data-driven product strategy, technical fluency, and product execution best practices. - Ensuring that all data and AI products are developed and deployed with a strong