AI Product Manager - Vice President

At Broadridge, we've built a culture where the highest goal is to empower others to accomplish more. If you’re passionate about developing your career, while helping others along the way, come join the Broadridge team. Key Responsibilities 1 . Champion user-centric product development Stay closely connected to end users to deeply understand their needs, workflows, pain points, and goals. Translate user insights into clear product hypotheses and prioritized opportunities. Design and run lean experiments and A/B tests to validate product assumptions and measure impact. Foster a culture of user empathy and data-driven decision making within the product team. Iterate quickly based on user feedback and experiment outcomes to deliver meaningful improvements to the AI Platform. 2 . Product Strategy and Vision Define and articulate the long-term vision for the AI Platform. Continuously scan the AI landscape for emerging trends, tools, and technologies (e.g., GenAI, MLOps, LLMOps , Agentic AI ) to ensure the platform remains best-in-class. Develop a forward-looking roadmap aligned with overall Broadridge Platform and AI strategy . 3 . Roadmap and Backlog Management Identify core AI capabilities ( predictive and generative AI , governance, etc.) that should be built, enhanced, or industrialized within the platform. T ranslate strategic initiatives into high level portfolio epics, steel threads and epics . Collaborate closely with Product Owner(s) to p rioritize features and ensure sufficient well-groomed backlog runway . Build product mockups and prototypes to accelerate user feedback iteratively 4 . Business Alignment and Use Case Enablement Partner with variety of stakeholders to gather requirements for AI Platform – these include i ) business , product and engineering teams who want to build AI capabilities into the product s , ii) innovation teams driving AI driven POCs, iii) transformation teams driving adoption of AI at scale . Serve as the internal ambassador for the AI platform, promoting its adoption and capabilities across the organization. Define and track key KPIs for platform usage, reliability, impact and NPS . Create alignment across stakeholders through clear communication and prioritization. Qualifications Required: Bachelor’s degree in Computer Science, Engineering, Data Science, or related field (MBA or advanced degree a plus). 6–10 years of experience in product management or technology strategy, with at least 3 years focusing on AI/ML platforms, data products, or enterprise platforms and products. Deep understanding of AI/ML life cycle ( predictive and generative AI) . Proven ability to lead global cross-functional teams through influence and thought leadership rather than authority. Experience engaging with technical teams and translating complex concepts for business stakeholders. Strategic mindset with the ability to connect emerging technology trends to business value. Experience building AI native solutions – agentic, machine learning , GenAI Cloud architecture awareness: Knowledge of major cloud platforms (AWS, Azure, GCP) and their AI/ML service offerings. Experience with modern MLOps / LLMOps tools and cloud AI platforms (e.g., AWS Sagemaker, Azure ML, Vertex AI). Familiarity with AI model architectures, LLMs, optimization techniques (prompting, fine-tuning), and AI frameworks. API and developer platform mindset: Understanding platform products, SDKs, and APIs that serve internal or external developers. Awareness o f data architecture , data engineering and data management practices to enable AI at scale Strong understanding of responsible AI principles, governance, and compliance frameworks. Excellent communication, stakeholder management, and storytelling skills. Experience delivering value using agile ways of working, lean principles and design thinking What You’ll Bring A passion for applying cutting-edge AI innovations responsibly and at scale. Ability to envision platform capabilities that transform business processes. A mindset that balances experimentation with execution discipline. What We Offer Opportunity to define the AI backbone of a forward-looking enterprise. Collaboration with cross-functional innovators shaping the future of AI. Competitive compensation, benefits, and growth opportunities. We are dedicated to fostering a collaborative, engaging, and inclusive environment and are committed to providing a workplace that empowers associates to be authentic and bring their best to work. We believe that associates do their best when they feel safe, understood, and valued, and we work diligently and collaboratively to ensure Broadridge is a company—and ultimately a community—that recognizes and celebrates everyone’s unique perspective. Use of AI in Hiring As part of the recruiting process, Broadridge may use technology, including artificial intelligence (AI)-based tools, to help review and evaluate applications. These tools are used only to support our recruiters and hiring managers, and all employment decisions include human review to ensure fairness, accuracy, and compliance with applicable laws. Please note that honesty and transparency are critical to our hiring process. Any attempt to falsify, misrepresent, or disguise information in an application, resume, assessment, or interview will result in disqualification from consideration.