Set the vision, strategy, and roadmap for the enterprise data catalog product, anchored in Alation and aligned to enterprise data, governance, and AI priorities
Position the data catalog as the enterprise knowledge layer by connecting technical metadata, business context, governance processes, ownership, policy, and usage to support trusted decision-making and AI enablement
Lead the product management function for the data catalog, including roadmap development, feature prioritization, release planning, backlog management, and value realization
Own delivery of data catalog capabilities and feature releases, ensuring work is solution-oriented, well-sequenced, and tied to adoption, operational readiness, and business outcomes
Build, lead, and develop a high-performing team of data catalog product capability leads and analysts, with clear ownership, work planning discipline, and accountability for results
Design and mature the team operating model, including role clarity, capacity planning, prioritization routines, agile ceremonies, intake management, and dependency management
Partner with stakeholders across business and technology to identify needs, define solutions, and translate enterprise requirements into scalable catalog capabilities and roadmap priorities
Drive optimization and expansion of Alation capabilities, including but not limited to data discovery, business glossary, stewardship workflows, lineage, policy integration, search experience, curation, and operating model enablement
Serve as a hands-on leader with deep knowledge of Alation administration, implementation patterns, configuration decisions, and enterprise deployment considerations
Lead cross-functional solution design for catalog enhancements and integrations, ensuring capabilities are practical, scalable, and support enterprise ways of working
Establish and monitor product goals, success metrics, and operational performance indicators related to adoption, feature usage, onboarding throughput, metadata health, and delivery execution
Ensure disciplined release management by coordinating business readiness, communications, training, documentation, and post-release measurement
Partner with governance, risk, privacy, and data management stakeholders to ensure the catalog supports enterprise control requirements and strengthens trust in critical data assets
Guide teams in identifying metadata, process, and platform gaps and developing actionable solutions that improve user experience and increase platform value
Lead the continuous improvement of catalog-related processes, job aids, standards, and documentation to support scale, repeatability, and strong execution
Provide thought leadership on how metadata, business context, and governance capabilities support next-generation analytics and AI use cases
Build strong partnerships across the enterprise and influence senior stakeholders on priorities, tradeoffs, sequencing, and investment needs
Manage, coach, and develop direct reports, including other people leaders where applicable
Lead through change and model strong leadership, execution discipline, collaboration, and customer focus
Perform other duties as assigned
Requirements
Bachelor’s degree in business Intelligence, Data Science, Computer Science, Engineering, or equivalent experience
10+ years of experience working with data, metadata and reference data frameworks, and experience in metadata and/or data quality monitoring
7+ years of experience leading work efforts and managing toward deadlines, and developing high-performing teams
5+ years of related experience in strategy, management consulting, or similar skillset
3+ years of hands-on experience with the Alation Data Catalog platform (preferred)
3+ years of experience working in a Scaled Agile environment (preferred)
Strong product management mindset with experience defining product vision, leading release cycles, managing backlogs, and driving measurable adoption (preferred)
Strong solution-oriented thinking with the ability to translate business needs into practical, scalable platform capabilities (preferred)
Experience building work plans, managing delivery against deadlines, and driving accountable execution across multiple priorities (preferred)
Experience partnering with architecture, engineering, analytics, risk, control, privacy, and business stakeholders (preferred)
Ability to balance strategic thinking with hands-on execution and operational rigor (preferred)
Strong communication, executive presence, and stakeholder management skills (preferred)
Demonstrated ability to lead through ambiguity, influence priorities, and deliver outcomes in a matrixed environment (preferred)
Experience supporting AI readiness, data discovery, and trusted data enablement through strong metadata and governance foundations (preferred).