Senior Product Manager, Data & Analytics

ICIMS is a leading enterprise hiring platform that combines enterprise software, AI-powered insights, and connected talent experiences to improve hiring outcomes. The Senior Product Manager, Data & Analytics will lead the strategy, development, delivery, launch, optimization, and retirement of data and analytics products, including customer-facing analytics solutions, data delivery products, and a common data platform. The role partners with cross-functional teams to drive product roadmaps, adoption, business outcomes, and scalable data capabilities.

Responsibilities:

• Define and evolve the vision, strategy, and roadmap for customer-facing analytics, data feeds, internal analytics solutions, and the Common Data Platform
• Develop investment strategies that balance customer needs, business priorities, and platform scalability
• Define and own product outcomes, success metrics, and long-term growth strategies
• Identify market opportunities and customer needs through research, customer engagement, competitive analysis, and quantitative insights
• Partner with product owners across analytics, platform, and application domains to align priorities, dependencies, and outcomes across the portfolio
• Establish a long-term strategy for shared data assets, reporting frameworks, analytics capabilities, data extraction services, and platform services
• Act as the primary voice of the customer for data and analytics products, ensuring customer needs are represented throughout the product lifecycle
• Knowledgeable of Privacy by Design (PbD) guidelines and processes; able to identify privacy risks and successfully complete discovery assessments
• Partner with engineering, data engineering, analytics, architecture, and data science teams to ensure delivery aligns with product strategy and customer needs
• Define and prioritize product requirements, user stories, acceptance criteria, and success measures
• Drive development of reusable data assets, common data models, APIs, integration frameworks, and analytics capabilities that enable multiple downstream products
• Serve as the bridge between stakeholders including executives, sales, marketing, customer success, support, legal, compliance, and engineering
• Lead prioritization discussions and manage trade-offs across customer-facing and platform investments
• Define and monitor key product and delivery metrics
• Lead go-to-market readiness activities for new data products and enhancements
• Maintain an agile mindset to adapt to evolving customer, regulatory, market, and technology needs
• Work closely with release management and customer-facing teams to ensure successful launches and adoption
• Ensure development PbD assessments are finalized and approved
• Lead launch planning and execution for analytics solutions, data products, and platform capabilities
• Partner with Product Marketing to define product positioning, value propositions, packaging, and messaging
• Develop customer enablement strategies, including documentation, training, and adoption programs
• Work closely with sales, customer Success, and solutions consulting teams to support customer adoption and growth
• Define and support pricing and packaging strategies for data and analytics products
• Serve as a subject matter expert for the data product portfolio and represent the business in customer and industry discussions
• Define and measure product success using adoption, engagement, revenue, customer satisfaction, and operational metrics
• Recommend data-driven product enhancements and investment opportunities
• Continuously optimize products based on customer feedback, market trends, usage analytics, and business performance
• Monitor product health and execution against strategic objectives
• Manage business performance for assigned products, including revenue opportunities, adoption targets, and investment decisions
• Develop retirement, migration, and modernization strategies for legacy data assets and products when necessary
• Build strong partnerships and influence stakeholders across business and technology organizations
• Lead strategic discussions and align teams around shared outcomes
• Effectively communicate complex data and technical concepts to both technical and non-technical audiences
• Foster a data-driven culture by promoting measurement, experimentation, and continuous improvement
• Actively engage customers, prospects, partners, and internal stakeholders to understand challenges and opportunities
• Mentor and coach product owners and junior product managers within the portfolio
• Operate with a high degree of ownership, autonomy, creativity, and accountability

Requirements:

• 5+ years of product management experience, with significant experience leading data products, analytics platforms, reporting solutions, data services, or data platform initiatives
• Proven track record of bringing data products to market and driving measurable customer adoption and business outcomes
• Experience defining product strategy, roadmaps, pricing, packaging, and go-to-market plans for customer-facing and platform-based products
• Strong understanding of data architecture, data modeling, reporting and analytics ecosystems, APIs, integrations, and enterprise SaaS platforms
• Experience working with product owners, data engineers, software engineers, architects, analysts, and data scientists
• Familiarity with modern data platforms, cloud technologies, data governance, privacy, security, and AI-enabled analytics solutions
• Strong business acumen with the ability to connect technical investments to customer value and business outcomes
• Exceptional communication, stakeholder management, and executive presentation skills
• Demonstrated ability to lead complex cross-functional initiatives with competing priorities
• Knowledgeable of Privacy by Design (PbD) guidelines and processes; able to identify privacy risks and successfully complete assessments
• Strong analytical and problem-solving skills with a data-driven decision-making mindset
• Experience incorporating AI into day-to-day product management practices to improve productivity, accelerate delivery, enhance customer understanding, and support data-driven decision making
• BA/BS or equivalent in related field