Part of this role will include a people-leadership capacity, responsible for core aspects of building and managing the Resident Solutions Architect team. Through your oversight and mentorship, this team will guide our largest customers, implementing pipelines spanning data engineering through model building and deployment, plus other technical tasks to help customers get value out of their data with Databricks.

Beyond people leadership, your responsibilities will include owning the delivery of customer projects in your region to ensure they are managed and delivered to target and exacting standards. You will be an ambassador for Services and their value in the region, will represent the organisation in steering committees, and will work with cross-functional teams and leaders to ensure Services support the development of the local business.

Key responsibilities include:

• Achieving regional team targets for billable utilisation, hiring and revenue
• Partnering with account executives, customer success and field engineering leaders while guiding Resident Solutions Architects to achieve success with professional services projects with customers
• Helping resolve customer concerns on strategic accounts and professional services engagements
• Analysing operational processes and escalation procedures and performing training needs assessments to identify opportunities for improving service delivery and contributing to customers
• Managing a team of Resident Solution Architects and acting as a supportive manager, including handling escalations, mentoring team members, and building a career path for the assigned team members

Requirements include:

• Proven leadership experience in managing and guiding consulting, delivery, or solution architecture teams, ensuring successful project execution and team development
• Strong technical background as a hands-on Solutions Architect, enabling you to effectively support and mentor technical architects under your leadership while driving strategic initiatives
• Experience driving software platform adoption in Fortune 500 organisations in markets such as finance, media, retail, telco, energy, and healthcare
• Implementing a project schedule with experience with customer engagement
• Experience with Databricks products, Spark ecosystem, and direct competitors
• Travel is required up to 10%, more at peak times

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The Global Learning Operations & Governance Manager is a senior, enterprise-level leader responsible for architecting the AI-enabled operating system that powers ENGAGE (aka Training Operations Team) globally.

This role establishes and leads the Global Center of Excellence (CoE), designing a scalable hub-and-spoke model that transforms regional execution into predictable, revenue-aligned, and financially disciplined outcomes.

Why This Role Matters

This is a transformation year for Learning & Enablement (L&E). As learner demand, partners, SKUs, and regions scale, traditional operating models no longer hold. Success requires predictive visibility, automation-first execution, and globally consistent governed operations, not incremental process improvement.

Key Responsibilities

Global Operating Model & CoE Leadership

• Establish and lead the Global Center of Excellence as the owner of operating standards, governance, tooling, and analytics.
• Design and operationalize a hub-and-spoke model that balances global consistency with strong regional execution.
• Standardize planning cadences, decision rights, playbooks, and forecasting frameworks.
• Embed accountability and performance rigor into QBRs, MBRs, and global reviews.

AI-Enabled Operations & Telemetry

• Enhance and lead ENGAGE’s AI-first operating roadmap.
• Operationalize real-time KPIs, dashboards, and predictive exception signals to surface demand, capacity, and risk.
• Institutionalize intelligent intake, agentic workflows, and automation across scheduling, forecasting, certification, and partner management.
• Establish governance principles for AI and automation, ensuring reliability, transparency, and measurable business impact.

Commercial Strategy & Revenue Discipline

• Define and institutionalize best in class revenue practices, including SKU governance, forecasting discipline, revenue recognition guardrails, and margin optimization.
• Translate operational gains into measurable commercial impact (capacity unlock, improved utilization, fill-rate gains, partner spend reduction).
• Partner with Revenue Operations, Finance, and Commercialization to ensure executive-grade reporting and P&L transparency.
• Embed financial controls aligned with audit readiness and long-term scalability.

Enterprise Governance & Risk Management

• Build a globally consistent environment across planning, reporting, exception management, and automation oversight.
• Ensure audit resilience, compliance readiness, and structured risk mitigation across regions.
• Establish clear decision rights and ownership models to eliminate ambiguity and friction.

Change Leadership & Global Oversight

• Lead global adoption of standardized processes, AI-enabled workflows, and governance frameworks.
• Define and elevate operational maturity benchmarks across regions.
• Act as a strategic advisor to L&E and Strat-Ops leadership on scale, risk, and operating evolution.
• Influence without authority across distributed, matrixed teams to embed discipline and alignment.

What Success Looks Like

• Building a predictable, standardized global operating model with clear decision rights and executive-ready reporting.
• Real-time, predictive visibility into global demand, capacity, performance, and exceptions.
• Demonstrable conversion of operational improvements into capacity unlocks, reduced partner spend, and revenue uplift.
• Automation and AI embedded into daily operations, materially reducing manual overhead and cycle times.
• High regional adoption of CoE standards and tooling.

Required Qualifications

• 10+ years in GTM Operations, Revenue Operations, or Program Leadership within global high-growth technology companies.
• Proven experience building and scaling enterprise operating models and governance programs.
• Demonstrated success leading automation, analytics, or AI-driven transformation initiatives with measurable impact.
• Deep commercial fluency, including forecasting, revenue operations, utilization economics, and P&L drivers.
• Strong partnership experience with Finance, Legal, Strategy, and Revenue leadership.
• Exceptional analytical rigor and executive-level communication skills.

Preferred Qualifications

• Exposure to audit processes, SOX readiness, or public-company financial controls.
• Familiarity with SaaS, data, AI, or cloud business models.
• Experience leading global change management initiatives.
• Hands-on experience with analytics platforms or Databricks products.
• Demonstrated success embedding AI into operational workflows at scale.

Why Join Us

You will architect the global operating system that enables ENGAGE to scale with speed, discipline, and financial rigor. This is a high-visibility role with enterprise impact,shaping how Learning & Enablement operates in an AI-first world. If you’re energized by building systems that convert complexity into predictable performance, and by embedding governance without sacrificing agility, this role offers the opportunity to leave a lasting operational legacy.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Zone 1 Pay Range $148,600-$204,250 USD Zone 2 Pay Range $133,700-$183,800 USD Zone 3 Pay Range $126,200-$173,600 USD Zone 4 Pay Range $118,900-$163,450 USD

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This individual contributor role sits at the intersection of data and AI strategy, industry transformation, and executive relationship-building, working closely with C-level leaders to drive multi-year change on the data platform while representing real-world needs back into Databricks.

Key responsibilities include:

• Building and maintaining trusted-advisor relationships with C-level executives in large US-based and global accounts, especially in highly regulated industries.
• Cultivating a strong social and professional network across customer executives, boards, key industry bodies, and partners.
• Shaping executive thinking on modern data and AI architectures, with emphasis on Lakehouse and data platform modernization as the primary lever for long-term Gen AI impact.
• Leading C-level briefings, strategy sessions, and multi-day workshops that connect business outcomes, regulatory constraints, and operating model change to concrete Databricks-based roadmaps.
• Serving as a deep technical counterpart in the field, maintaining L200–L300 proficiency across Databricks products and being able to credibly engage architects, data engineers, and data scientists on solution design and trade-offs.
• Generalizing patterns from the field into reusable reference architectures, industry blueprints, and best practices for regulated industries, and sharing them through blogs, webinars, whitepapers, and conference keynotes.
• Orchestrating the broader ecosystem (cloud providers, GSIs, consultancies, ISVs) around customer objectives, ensuring Databricks is at the center of multi-year transformation programs rather than isolated projects.
• Partnering with Account Executives, Solutions Architects, Industry Leads, and Product Specialists to drive complex, multi-year sales cycles, securing platform decisions and expansions while influencing ACV and consumption growth.
• Providing structured, prioritized feedback from strategic customers into Product, Engineering, and Field leadership to influence product roadmap, especially around data, governance, security, and regulated-industry requirements.
• Mentoring senior Field Engineering and industry-focused talent, contributing to a pipeline of principal- and CTO-level leaders and codifying ways of working for complex, regulated accounts.

Requirements include:

• 15+ years of experience spanning enterprise technology and consulting, including leading or advising on multi-year data platform and analytics transformations in large, complex organizations.
• Significant time spent inside a large enterprise software or cloud company in roles that required navigating matrixed organizations and driving change at scale, combined with direct industry exposure rather than a career spent solely in horizontal software.
• Experience in or with regulated industries, with familiarity with regulatory and compliance considerations affecting data and AI platforms.
• A background that blends hands-on technology and architecture work on data platforms and analytics, organizational and operating model change, executive consulting or advisory, and proven ability to operate as a highly credible peer to C-level executives.
• Strong, proactive networker who is naturally curious about which associations, councils, and forums matter for a given customer set, and who uses those networks to create new executive entry points and opportunities.
• Demonstrated longevity and impact in prior roles, with evidence of building and sustaining long-term customer relationships and programs rather than frequent short stints.

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As a Senior Solutions Architect - AI/BI, you will collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory.

Key responsibilities include:

• Collaborating with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory.
• Serving as a trusted advisor and expert Solutions Architect, building technical credibility with stakeholders to drive product adoption and vision.
• Enabling clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership.
• Influencing product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.

To be successful in this role, you will need:

• 6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption.
• Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R&D teams.
• Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes.
• Proficient in programming, debugging, and problem-solving using SQL and Python.
• Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP).
• Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming.

Required skills include:

• Experience in designing and delivering cloud-based Data Visualisation and Analytics Solutions in a client or customer environment.
• Ability to advise customers in lakehouse analytics architecture.
• Certification and/or demonstrated competence in data visualisation and analytics systems along with one of Azure, AWS or GCP cloud providers.
• Demonstrated competence in the Lakehouse architecture including hands-on experience with Apache Spark, Python and SQL.

Preferred skills include:

• Experience with Databricks products and services.
• Knowledge of data science and machine learning concepts.

This is a senior-level role that requires a strong background in data and AI, as well as excellent communication and collaboration skills.

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