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 and Education:

• 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.

Skills and Attributes:

• 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.

What Success Looks Like:

• 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.

Physical Requirements: 

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is required to: 

• 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 

Channel Partners Solutions is an equal opportunity employer in every aspect of employment, including but not limited to; selection, training, development and promotion of the most qualified candidates and employees without regard to their race, gender, color, religion, sexual orientation, national origin, age, physical or mental disability, citizenship status, veteran status, or any other characteristic prohibited by state or local law. Channel Partners is committed to equal employment opportunity in all other privileges, terms and conditions of employment that may not be covered in this statement. Channel Partners is an at-will employer.

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