Unlike mature partner programs, this role will establish foundational enablement strategies, stakeholder relationships, audience segmentation, learning pathways, and success frameworks for a growing data ecosystem portfolio. The ideal candidate thrives in ambiguity, enjoys building new programs from scratch, and understands how data engineers, analytics teams, AI practitioners, and technical decision-makers learn and adopt new technologies. Key objectives include:

• Establish foundational partner enablement programs for Databricks and Snowflake.
• Create scalable learning pathways for technical and business partner audiences.
• Build strong internal and external stakeholder alignment.
• Launch repeatable partner engagement frameworks and champion programs.
• Create measurable readiness improvements across data platform partner communities.

• Bi-weekly pay and early wage access - get paid when you need it!
• Health and wellness benefits plans
• Paid time off and holidays
• 401(k) with employer matching
• Employee discounts
• Referral bonus
• Tax savings with flexible spending accounts for parking, transit, dependents, and healthcare costs
• Opportunity to work with a growing company that actively rewards and promotes its employees

• Serve as the primary enablement lead for Databricks and Snowflake partnerships.
• Establish foundational enablement strategies, stakeholder relationships, governance processes, and operating rhythms.
• Identify priority audiences across data engineering, analytics, machine learning, AI, and technical leadership functions.
• Build trusted relationships with alliance leaders, technical communities, enablement teams, and partner executives.
• Shape the long-term enablement vision for both partnerships.
• Build the foundational enablement framework for Databricks and Snowflake partnerships.
• Design role-based programs for data engineers, analytics engineers, data scientists, machine learning practitioners, and technical leaders.
• Develop scalable enablement programs supporting lakehouse, data platform, AI, and analytics use cases.
• Create role-based learning pathways for data engineers, analytics engineers, architects, machine learning practitioners, and business stakeholders.
• Develop foundational workshops, technical bootcamps, champion programs, and scalable learning frameworks.
• Translate customer use cases involving AI, analytics, data platforms, and lakehouse architectures into practical enablement content.
• Establish repeatable enablement motions that can scale alongside growing partnerships.
• Build readiness programs from the ground up.
• Develop partner champions and internal advocates.
• Align enablement activities to partnership growth objectives and ecosystem adoption goals.
• Gather partner feedback and continuously refine learning strategies.
• Establish partner champion networks and long-term community engagement strategies.
• Continuously improve learning experiences based on participation, partner feedback, observed readiness, and strategic business impact.

• Experience building new programs, functions, or strategic initiatives in environments where processes and playbooks were still being created.
• Direct experience with data platform, lakehouse, or analytics ecosystem partnerships (e.g., Databricks, Snowflake, or comparable data-native platforms) strongly preferred.
• Comfort with ambiguity and a track record of standing up net-new partner programs without an existing framework to follow.
• Ability to manage two concurrent, early-stage partner relationships without losing momentum on either.
• 8 or more years of experience in partner success, strategic partnerships, partner enablement, customer success, learning and development, consulting, or a related field within enterprise technology.
• Experience designing and delivering learning or enablement programs for external partners, customer-facing teams, or enterprise technology audiences.
• Strong understanding of cloud platforms, data ecosystems, enterprise software, or AI technologies, with the ability to learn new products and technical concepts quickly.
• The ability to translate complex technical topics into relevant, accessible learning experiences for both technical and business audiences.
• Experience partnering with sales, solutions architecture, product, customer success, alliances, and other cross-functional teams.

• Knowledge of modern data architectures, Lakehouse platforms, analytics workflows, and AI ecosystems.
• Ability to create structure and alignment in ambiguous environments.
• Strong stakeholder engagement, relationship management, and program-building capabilities.
• Experience influencing technical and business audiences without direct authority.
• Strong facilitation, consulting, presentation, and communication skills.
• Ability to build scalable enablement frameworks that support long-term partnership growth.
• Strong program management skills with the ability to manage multiple stakeholder groups and competing priorities.
• Data-driven mindset with the ability to measure readiness, engagement, and program effectiveness.

• Establish trusted advisor relationships with partners and align enablement plans to partnership strategies.
• Drive participation across partner sales, technical, customer success, and leadership audiences.
• Increase training attendance, workshop participation, certifications/badges, stakeholder engagement, and program reach.
• Improve partner product knowledge, confidence, and readiness to support customer and technical use cases.
• Deliver high-value enablement experiences that partner stakeholders view as responsive and aligned to business needs.
• Provide internal teams with visibility into partner priorities, program performance, and improvement opportunities.
• Contribute to stronger strategic partnerships, increased partner-led customer engagement, and partner-influenced business growth.

• Regularly sit, stand, walk, grasp, talk, and/or hear, and drive
• Occasionally lift and carry items up to 10 lbs
• Continuous hand/eye coordination and fine manipulation