Director, Professional Services

🕒 September 15

🇮🇳 India – Remote

⏰ Full Time

🔴 Lead

👔 Director

👻 Ghost score 11%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Resilinc

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2010

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

Resilinc is a leading provider of supply chain risk management and resiliency solutions. The company uses advanced technologies such as AI for mapping, monitoring, and predictive analytics to offer deep supply chain visibility and risk scoring. With their proprietary data, Resilinc helps businesses ensure continuity by forecasting disruptions and collaborating effectively with global suppliers. They serve industries including aerospace, healthcare, and high-tech manufacturing, providing tools for compliance, business continuity planning, and ESG adherence. Their services cater to various business roles including CEO, CPO, and supply chain resiliency managers.

📋 Description

• Lead end-to-end Services delivery from solution scoping through implementation, customer acceptance, and adoption-ready handoff • Ensure scope, technical dependencies, success criteria, timelines, and resource requirements are understood before customer commitments are finalized • Drive faster time-to-value, predictable deployment, and accountability for program completion • Personally engage in strategic and complex customer programs as senior Services executive • Partner with Sales, Solution Engineering, Product, Engineering, Support, and customer teams • Build and scale a technically capable Services organization for enterprise implementations and AI/agent deployments • Develop capabilities in customer environment setup, data ingestion, APIs, integrations, platform configuration, supply-chain mapping, analytics, AI workflows, agent design, testing, observability, and enablement • Lead enterprise AI and agent deployments from discovery and prototype through secure production deployment • Establish practices for agent evaluation, testing, guardrails, monitoring, human escalation, reliability, and continuous improvement • Define the Services and Engineering engagement model and reduce avoidable Engineering dependency • Create repeatable delivery models for scoping, onboarding, integrations, AI/agent design, acceptance, hypercare, Managed Services, change orders, and post-go-live transition • 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 data validation, analytics, technical enablement, compliance support, AI/agent optimization, and platform administration • Ensure adoption-ready handoffs with clear go-live dates, usage expectations, success criteria, technical barriers, and post-go-live ownership • Measure success through time-to-value, implementation quality, Services self-sufficiency, utilization, revenue, margin, repeatability, Managed Services growth, adoption readiness, customer satisfaction, and AI/agent production outcomes

🎯 Requirements

• 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 versus probabilistic AI systems, including evaluation, monitoring, iteration, and operational guardrails • Ability to translate enterprise business problems into executable AI/agent solutions and distinguish Services work from product or Engineering work • 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 • Experience with Databricks strongly preferred • Deep knowledge of Databricks, enterprise AI, agentic AI, developer platforms, data-intensive SaaS, or forward-deployed technology is advantageous • Experience with U.S. and India delivery models is advantageous

🏖️ Benefits

• Full-stack benefits for health, wealth and wellbeing • Fully remote work arrangement • Opportunities to connect in person • Opportunities for technical growth • Opportunity to shape impactful technology

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