Partner Enablement Operations Manager
Databricks
Bengaluru, India; Mumbai, IndiaPosted 1 month ago
Skill Required
Field Engineering - EnablementDatabricksanalyticaldesigningbuildingdesignAI
Key highlights
- 10+ years of experience required in Learning Operations, Program Management, Professional Services Operations, or related operational leadership in a high-growth technology environment.
- Senior-level role: Partner Enablement Operations Manager
- High-visibility role with meaningful impact on shaping how partner enablement scales at Databricks
- Flexible schedule required, including frequent late hours to accommodate AMER-based team members
- Emphasis on AI-enabled and automation-first workflows across partner operations
Role overview
The Partner Enablement Operations Manager is a senior operator and builder at Databricks responsible for designing and running a scalable, predictable, and data-driven operating model for partner enablement. The role serves as the operational backbone and strategic integrator connecting global strategy to execution across AMER, EMEA, and APJ regions, ensuring programs are delivered consistently, efficiently, and at scale. The ideal candidate brings strong executive presence, systems thinking, and a bias for automation, with the ability to reduce operational friction, build scalable governance, and introduce AI-enabled workflows.
Responsibilities
- Own the partner enablement operating model, including core planning cadences, governance mechanisms, and execution frameworks that connect strategy to execution.
- Run QBRs, MBRs, and executive reviews for partner enablement leadership, using clear metrics and forward-looking insights to drive accountability and decision-making.
- Lead end-to-end execution of partner enablement initiatives, ensuring timelines, dependencies, and deliverables are managed effectively across functions and regions.
- Build and maintain dashboards and operating reviews that surface partner engagement, program performance, risk signals, and areas requiring intervention.
- Act as a key point of contact for cross-regional operational issues and escalations, resolving immediate friction while converting recurring issues into structural improvements.
- Design and implement scalable workflows, SOPs, SLAs, and intake mechanisms that improve consistency, reduce manual effort, and create a better experience for internal stakeholders and partners.
- Introduce AI-enabled and automation-first workflows for intake, reporting, support, certification, and partner operations where they can safely improve speed, quality, and scale.
- Collaborate closely with the Partner organization, Learning and Enablement, Professional Services, and other cross-functional teams to remove friction and improve execution across the partner ecosystem.
- Partner closely with the broader operations business to drive cross-functional leverage of ideas and excellence, ensuring new methods and operational innovations are scaled beyond just partner operations.
- Establish clear ownership models, decision rights, and governance guardrails to support regional nuance without creating shadow processes or operational inconsistencies.
Requirements
- 10+ years of experience in Learning Operations, Program Management, Professional Services Operations, or a related operational leadership field in a high-growth technology environment.
- Proven experience supporting global or multi-region teams and translating central strategy into executable operating plans.
- Demonstrated ownership of operating cadence, forecasting, planning, and execution frameworks in a complex, matrixed environment.
- Strong analytical capability and the ability to turn data into executive insight, operational decisions, and measurable business outcomes.
- Experience improving processes and workflows, with a clear track record of reducing manual effort and increasing scale through automation or AI-enabled solutions.
- Strong stakeholder management skills and the ability to influence senior leaders across functions without direct authority.
- Ability to work independently, manage priorities across time zones, and drive execution in ambiguous, fast-moving environments.
- Must be open to working a flexible schedule, including frequent late hours to accommodate discussions with the broader enablement team and partner liaisons, the majority of whom are based in the AMER timezone.
Nice to have
- Preferred experience in the Data & AI space, with a strong understanding of Databricks' platform capabilities, key differentiators, and end-to-end solutions, and the ability to work effectively with technical stakeholders.
- Experience in partner enablement, customer education, learning operations, or training operations.
- Deep expertise working with and for System Integrators (SIs) and ISVs, with a strong grasp of their core operational principles and business models.
- Fluency with AI tools, workflow automation, and analytics platforms used to streamline operations and generate actionable insights.
- Strong commercial and operational acumen, including comfort with utilization, forecasting, partner spend, margin thinking, or RevOps-aligned execution.
- Experience operating in a highly matrixed international environment with sensitivity to regional and cultural nuance.
Benefits
- Comprehensive benefits and perks that meet the needs of all employees, with specific details available by region.
- Commitment to fostering a diverse and inclusive culture where everyone can excel, with inclusive hiring practices and equal employment opportunity standards.
Additional details
- Job code: FEQ327R583.
- Success Metric - Operational Predictability: Build a disciplined partner enablement operating cadence where risks are surfaced early and execution is measurable and consistent.
- Success Metric - Stakeholder Experience and Self-Sufficiency: Increase the percentage of standard partner enablement requests handled through structured, low-touch, or self-service workflows.
- Success Metric - Escalation Management and Process Resilience: Reduce recurring operational friction by improving escalation handling, clarifying ownership, and improving systemic resolution of recurring issues.
- Success Metric - Scalable Execution: Improve throughput, consistency, and delivery quality across global partner enablement programs without relying on incremental manual work.
- Success Metric - AI-Enabled Transformation: Deploy practical AI-enabled workflows that improve speed, visibility, and efficiency across intake, reporting, support, and partner operations.
- Databricks is the Data and AI company; more than 20,000 organizations worldwide rely on the Databricks Data + AI Platform, including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500.
- Headquartered in San Francisco with 30+ offices around the globe.
- Platform offerings include Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.
- Databricks can be followed on LinkedIn, X, YouTube, and Instagram.
- Compliance: If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.