SVP of Product – Data, Analytics, AI/ML

This is a fully remote position, open to applicants in United States.

📋 Description

• Define and spearhead the product vision, strategy, and roadmap for enterprise data platforms, analytics capabilities, and AI/ML products.

• Direct the product management function that supports enterprise data platforms, encompassing data warehousing, data lakes, semantic layers, and data access patterns.

• Establish and oversee product strategies for self-service analytics, executive reporting, embedded analytics, and decision-support capabilities across various business units.

• Manage the AI/ML product portfolio, which includes predictive models, document intelligence, retrieval and generative AI experiences, and AI-assisted decision-support capabilities.

• Assess and prioritize data, analytics, and AI/ML initiatives to align investments with business priorities and product strategy.

• Collaborate with Data Engineering, Product, Engineering, Design, Infrastructure, and business teams to deliver scalable platform and product capabilities.

• Set standards and oversight practices regarding governance, reliability, auditability, and responsible AI usage within enterprise data and AI-enabled products.

• Define and track KPIs related to platform adoption, analytics usage, model performance, and business impact.

• Forge strong partnerships across business and technology teams to align product priorities and enhance adoption and value delivery.

• Mentor and nurture product leaders and team members to foster organizational growth and execution excellence.

• Communicate product strategy, roadmap progress, priorities, and business impact to executive leadership and stakeholders throughout the organization.

⛳️ Requirements

• Bachelor’s degree required, ideally in Business, Computer Science, Engineering, Information Systems, Statistics, Data Science, or a related field.

• 15+ years of product management experience, including leadership roles overseeing enterprise platforms, analytics products, or AI/ML capabilities.

• Proven experience in leading product strategy and execution for enterprise data, analytics, or AI-enabled products within complex or regulated environments.

• Experience in delivering AI/ML-enabled products or data platform initiatives in production settings.

• Background in leading cross-functional product organizations and collaborating with Product, Engineering, Data, and business teams.

• Preference for candidates with experience in commercial real estate, financial services, lending, capital markets, or similarly regulated industries.

• Strong expertise in product strategy, roadmap development, prioritization, and product operating models across data, analytics, and AI/ML domains.

• Understanding of modern data platforms and architectures, including data warehouses, data lakes, semantic layers, and analytics ecosystems.

• Familiarity with AI/ML technologies, such as generative AI, retrieval systems, and AI-assisted workflows.

• Strong leadership and stakeholder management skills, with the capacity to align technical and business teams around common priorities.

• Excellent communication abilities to translate technical concepts into business value for non-technical audiences.

• Robust analytical, organizational, and problem-solving skills.

• Capability to operate effectively in fast-paced, evolving, and highly collaborative environments.

• High level of accountability, sound judgment, and strategic thinking.

• Willingness to take ownership of your work, embrace challenges and growth opportunities, and exhibit patience when learning new processes.

• Courtesy, respect, and thoughtfulness in collaboration with colleagues and other stakeholders.

🏝️ Benefits

• Up to 83% subsidized medical payroll deductions.

• Competitive dental and vision benefits.

• 401(k) with matching contributions.

• Pre-tax transit and commuting benefits.

• A comprehensive health and wellness program – earn cash rewards and access resources that promote health, engagement, and balance.

• Paid maternity and parental leave, along with other family paid leave programs.

• Company-covered life, short, and long-term disability insurance.

• Health Savings Account and Healthcare and Dependent Care Flexible Spending.

• Opportunities for career development.

• Empowerment and encouragement to give back – volunteer hours and donation matching.