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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading complex enterprise customer programs, focusing on AI and agent deployments, while ensuring effective service delivery and operational excellence. Capable of building and scaling services teams and delivery models, with a strong emphasis on governance, utilization, and customer engagement.
Highest-signal resume keywords
10+ Years Experience In Professional ServicesEnterprise SaaS ImplementationStrong Executive Communication SkillsDatabricks ExperienceExperience With APIs And Enterprise Integrations
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Enterprise AI DeploymentData IngestionAnalytics WorkflowsGenerative AI KnowledgeAgent DesignCloud EnvironmentsGovernance And Change ManagementDelivery QualityOperational GuardrailsSolution Design
Soft Skills
Customer-Facing LeadershipCommercial Judgment
Tools & Technologies
DatabricksAI WorkflowsEnterprise Data Platforms
Industry Keywords
Managed ServicesSaaSSupply ChainProcurementLogisticsRisk ManagementCompliance
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Lead end-to-end Services delivery from solution scoping through implementation, customer acceptance, production deployment, and adoption-ready handoff
- Own strategic and complex customer programs and serve as senior Services executive for critical engagements
- Partner with Sales, Solution Engineering, Product, Engineering, Support, Finance, Commercial, and customer teams
- Build and scale a technically capable Services organization for enterprise implementations and AI/agent deployments
- Establish team capabilities across data ingestion, APIs, integrations, platform configuration, supply-chain mapping, analytics, AI workflows, agent design, testing, observability, and enterprise AI deployment
- Lead enterprise AI and agent deployments from discovery and prototype to secure, reliable production
- Define Services and Engineering engagement rules and reduce avoidable Engineering dependency
- Create repeatable and scalable delivery models for scoping, onboarding, implementation, integrations, AI/agent deployment, acceptance, hypercare, Managed Services, and post-go-live adoption
- Own Services utilization, billability, revenue, delivery margin, resource planning, and change-order discipline
- Build capacity models covering implementation resources, strategic programs, Engineering dependencies, U.S./India delivery, and future hiring
- Develop recurring Managed Services offerings including validation, analytics, technical enablement, compliance support, AI/agent optimization, administration, and adoption support
- Ensure adoption-ready handoffs with clear completion dates, usage expectations, success criteria, technical barriers, and post-go-live ownership
Requirements
What you’ll need- 10+ years of experience in Professional Services, enterprise SaaS implementation, consulting, Managed Services, customer delivery leadership, or forward-deployed enterprise technology roles
- Demonstrated experience leading complex enterprise customer programs from discovery and solution design through production deployment, adoption, and measurable outcomes
- Experience building or scaling Services teams and delivery models for technically complex SaaS, data, AI, or agentic products
- Strong operating discipline across governance, resourcing, utilization, delivery quality, margin, and change management
- Strong working knowledge of modern enterprise data platforms and architectures
- Experience with APIs, enterprise integrations, data ingestion, analytics workflows, and cloud environments
- Hands-on working knowledge of generative AI and agentic systems, including use-case discovery, workflow and agent design, orchestration, integrations, evaluation/testing, guardrails, observability, human-in-the-loop patterns, and production readiness
- Experience working directly with enterprise customers to identify high-value AI use cases and take them from pilot to production at scale
- Strong understanding of deterministic software delivery and probabilistic AI systems, including evaluation, monitoring, iteration, and operational guardrails
- Ability to translate enterprise business problems into executable AI/agent solutions and determine when specialist Engineering support is required
- Strong executive communication and customer-facing leadership skills
- Strong commercial judgment and understanding of Services economics
- Experience working cross-functionally with Sales, Product, Engineering, Support, post-go-live customer teams, and Finance
- Experience leading distributed or global delivery teams
- Databricks experience strongly preferred
- Deep Databricks experience, enterprise AI, agentic AI, developer platforms, data-intensive SaaS, supply chain, procurement, manufacturing, logistics, compliance, or risk management experience would make candidates stand out
Benefits
Comp & perks- Fully remote work arrangement
- Full-stack benefits for health, wealth and wellbeing
- Opportunities to connect in person
- Opportunities for technical growth
- Collaborative, empowering culture
- Ownership and voice in shaping impactful technology