Company
SaaS
LeadProductManager,DataandAI
Neural analysis suggests this role is
optimal for Lead candidates.
“Lead Product Manager, Data and AI. Skills: Machine learning, Generative AI, Analytics solutions. Define product vision and roadmap. Execute product vision and roadmap”
Industry & Context.
Navigate ambiguity; Prioritize competing objectives; Execute complex initiatives
What They're Looking For.
Must Have
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative discipline, 8+ years of product management experience within enterprise SaaS, cloud software, technology, or highly regulated industries, At least 3 years of hands-on experience launching and scaling machine learning, AI, or data-driven products, Deep understanding of machine learning concepts, generative AI technologies, large language models (LLMs), advanced analytics, and the infrastructure required to support AI solutions, Proven ability to develop product strategies, navigate ambiguity, prioritize competing objectives, and successfully execute complex initiatives, Experience working across multidisciplinary teams in fast-paced environments
Nice to Have
Familiarity with regulated industries, Understanding of data privacy, governance, security, and ethical AI principles
What You'll Do.
Define product vision and roadmap
Execute product vision and roadmap
Align initiatives with business objectives
Lead development of AI solutions
Lead deployment of AI solutions
Manage product lifecycle
Collaborate with cross-functional stakeholders
Integrate intelligent capabilities into products
Establish frameworks for measuring product performance
Establish frameworks for experimentation
Establish frameworks for business impact
Use data-driven insights for decision-making
Use data-driven insights for optimization
Translate business challenges into product requirements
Act as bridge between technical and non-technical stakeholders
Promote responsible AI development
Partner with governance stakeholders
Partner with privacy stakeholders
Partner with compliance stakeholders
Ensure ethical product outcomes
Ensure secure product outcomes
Ensure reliable product outcomes
Contribute to product management best practices
Foster culture of innovation
Foster culture of collaboration
Foster culture of continuous improvement
How You'll Work.
Team & Collaboration
Cross-functional stakeholders; Product teams; Engineering teams; Design teams; Operations teams; Business teams; Multidisciplinary teams
Communication Scope
Explain technical concepts; Explain trade-offs
Process & Methodology
Roadmap development, Prioritization, Execution
Full Job Description
## Accountabilities Define and execute a multi-year product vision and roadmap for data and AI platforms, aligning initiatives with business objectives, growth strategies, and operational priorities. Lead the development and deployment of advanced AI, machine learning, generative AI, and analytics solutions, managing the full product lifecycle from ideation and experimentation to scalable production delivery. Collaborate closely with cross-functional stakeholders across product, engineering, design, operations, and business teams to integrate intelligent capabilities into core products and workflows. Establish frameworks for measuring product performance, experimentation, and business impact, using data-driven insights to guide decision-making and optimization efforts. Translate complex business challenges into clear product requirements and act as a bridge between technical specialists and non-technical stakeholders. Promote responsible AI development by partnering with governance, privacy, and compliance stakeholders to ensure ethical, secure, and reliable product outcomes. Mentor team members, contribute to product management best practices, and help foster a culture of innovation, collaboration, and continuous improvement. Requirements Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative discipline. 8+ years of product management experience within enterprise SaaS, cloud software, technology, or highly regulated industries, with a strong track record of delivering large-scale products. At least 3 years of hands-on experience launching and scaling machine learning, AI, or data-driven products. Deep understanding of machine learning concepts, generative AI technologies, large language models (LLMs), advanced analytics, and the infrastructure required to support AI solutions. Proven ability to develop product strategies, navigate ambiguity, prioritize competing objectives, and successfully e
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