
Director β Professional Services
Posted Sep 15

Posted Sep 15
This is a fully remote position, open to applicants in United States.
β’ Oversee the complete delivery of Services from the initial solution scoping to implementation, customer acceptance, production deployment, and handoff for adoption readiness.
β’ Take responsibility for strategic and intricate customer programs, acting as the senior Services executive for essential engagements.
β’ Collaborate with Sales, Solution Engineering, Product, Engineering, Support, Finance, Commercial, and client teams.
β’ Develop and expand a technically proficient Services organization for enterprise implementations and AI/agent deployments.
β’ Build team capabilities in areas such as data ingestion, APIs, integrations, platform configuration, supply-chain mapping, analytics, AI workflows, agent design, testing, observability, and enterprise AI deployment.
β’ Manage enterprise AI and agent deployments from initial discovery and prototyping to secure and reliable production.
β’ Establish engagement protocols for Services and Engineering while minimizing unnecessary Engineering dependencies.
β’ Design repeatable and scalable delivery models for scoping, onboarding, implementation, integrations, AI/agent deployment, acceptance, hypercare, Managed Services, and post-go-live adoption.
β’ Oversee Services utilization, billability, revenue, delivery margin, resource planning, and change-order management.
β’ Create capacity models that encompass implementation resources, strategic programs, Engineering dependencies, U.S./India delivery, and future hiring needs.
β’ Develop ongoing Managed Services offerings, including validation, analytics, technical enablement, compliance support, AI/agent optimization, administration, and adoption assistance.
β’ Ensure handoffs for adoption readiness by providing clear completion timelines, usage expectations, success criteria, technical challenges, and post-go-live ownership.
β’ A minimum of 10 years of experience in Professional Services, enterprise SaaS implementation, consulting, Managed Services, customer delivery leadership, or roles focused on forward-deployed enterprise technology.
β’ Proven experience in leading complex enterprise customer programs from discovery and solution design through to production deployment, adoption, and measurable outcomes.
β’ Experience in building or scaling Services teams and delivery models for technically complex SaaS, data, AI, or agentic products.
β’ Strong operational discipline regarding governance, resource allocation, utilization, delivery quality, profit margins, and change management.
β’ Comprehensive knowledge of contemporary enterprise data platforms and architectures.
β’ Familiarity with APIs, enterprise integrations, data ingestion, analytics workflows, and cloud computing environments.
β’ Practical 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 readiness for production.
β’ Experience collaborating directly with enterprise customers to identify valuable AI use cases and transition them from pilot phases to large-scale production.
β’ Strong comprehension of deterministic software delivery as well as probabilistic AI systems, including evaluation, monitoring, iteration, and operational guardrails.
β’ Ability to convert enterprise business challenges into actionable AI/agent solutions and assess when specialized Engineering support is necessary.
β’ Strong executive communication skills and customer-facing leadership capabilities.
β’ Solid commercial acumen and understanding of Services economics.
β’ Experience collaborating across functions including Sales, Product, Engineering, Support, post-go-live customer teams, and Finance.
β’ Background in leading distributed or global delivery teams.
β’ Preference for candidates with Databricks experience.
β’ Candidates with extensive Databricks experience, enterprise AI, agentic AI, developer platforms, data-intensive SaaS, supply chain, procurement, manufacturing, logistics, compliance, or risk management expertise will be highly regarded.
β’ Fully remote work arrangement.
β’ Comprehensive benefits package for health, wealth, and well-being.
β’ Opportunities for in-person connections.
β’ Opportunities for technical advancement.
β’ A collaborative and empowering work culture.
β’ Ownership and a voice in shaping impactful technology.
Mercy Health
Mercy Health
Bon Secours
Bon Secours
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