Lead_AI Delivery Enablement_Aug
NeuIQ · Mumbai · onsite · Posted 41d ago
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About this role
Job Title: Lead_AI Delivery Enablement
Location: Mumbai, India
Function: AI - Lifecycle Management (AI Ops)
About NeuIQ: NeuIQ is an AI services partner; the Architects of the AI-Native GTM Enterprise. We engineer the data, workflows, and agents that turn enterprise go-to-market into compounding revenue, across Customer Experience, Sales & Revenue Operations, Customer Insights, and Marketing.
We are AI-native ourselves: we build with the tools we ship, and every role here works alongside AI - agents run inside our own discovery, integration, and QA workflows. You'll join a senior, high-leverage, multidisciplinary team - engineered to move at the scale of a much larger firm - led by entrepreneurs and operators who have navigated multiple technology waves, working with frontier models and best-in-class platforms at every layer of the enterprise stack, with startup speed and enterprise rigor.
Role overview: The Lead - AI Delivery Enablement ensures the Data & AI Practice runs with execution discipline and delivery readiness. The role drives resource deployment, hiring coordination, commercial hygiene, governance tracking, project visibility, onboarding readiness, and cross-functional follow-through so that teams are staffed on time, projects stay on track, and leadership has clear visibility into risks, decisions, and practice health.
Requirements
Key Responsibilities:
Why NeuIQ - Five reasons candidates choose us
Location: Mumbai, India
Function: AI - Lifecycle Management (AI Ops)
About NeuIQ: NeuIQ is an AI services partner; the Architects of the AI-Native GTM Enterprise. We engineer the data, workflows, and agents that turn enterprise go-to-market into compounding revenue, across Customer Experience, Sales & Revenue Operations, Customer Insights, and Marketing.
We are AI-native ourselves: we build with the tools we ship, and every role here works alongside AI - agents run inside our own discovery, integration, and QA workflows. You'll join a senior, high-leverage, multidisciplinary team - engineered to move at the scale of a much larger firm - led by entrepreneurs and operators who have navigated multiple technology waves, working with frontier models and best-in-class platforms at every layer of the enterprise stack, with startup speed and enterprise rigor.
Role overview: The Lead - AI Delivery Enablement ensures the Data & AI Practice runs with execution discipline and delivery readiness. The role drives resource deployment, hiring coordination, commercial hygiene, governance tracking, project visibility, onboarding readiness, and cross-functional follow-through so that teams are staffed on time, projects stay on track, and leadership has clear visibility into risks, decisions, and practice health.
Requirements
Key Responsibilities:
- Own a single view of practice capacity across people, skills, allocations, availability, and utilization.
- Drive weekly deployment planning and proactively address bench, over-allocation, backfills, and upcoming demand.
- Translate project pipeline into hiring requirements and coordinate closely with HR and recruitment on open roles, interviews, offers, and joiners.
- Ensure new hires are deployment-ready with clear allocation plans, system readiness, and onboarding closure.
- Drive monthly invoicing readiness by validating billing inputs, timesheets, project commercials, and revenue tracking.
- Monitor budgets, unbilled revenue, contract renewals, and commercial leakage; coordinate with Finance on corrections and closures.
- Maintain a consolidated view of active projects, including RAG, milestones, slippages, dependency risks, and closure timelines.
- Ensure new projects are set up correctly with codes, access, folders, and governance structures in place.
- Track compliance with mandatory governance, audit, documentation, and project control requirements.
- Coordinate day-to-day execution across HR, Finance, IT, Admin, Legal, Procurement, and Workplace teams.
- Manage onboarding, offboarding, internal movements, seating, and workplace readiness for the practice.
- Produce weekly leadership dashboards covering headcount, utilization, open demand, hiring pipeline, project health, invoice status, budget consumption, governance actions, and key risks.
- Strong practice coordination, PMO, or delivery enablement experience in Data, AI, Analytics, or Technology environments.
- Good understanding of workforce planning, utilization, invoicing readiness, project tracking, and governance discipline.
- Strong stakeholder coordination, reporting, follow-through, and problem-solving capability.
- High attention to detail with the ability to manage multiple priorities in a fast-paced environment.
- Strong Excel, MIS, dash boarding, and review-management skills.
Why NeuIQ - Five reasons candidates choose us
- Work at the frontier, for real . No demo-ware, no pilots that die in the sandbox. You'll ship working agents into production - every one anchored to a measurable business outcome a client is counting on. Fourteen-plus client AI solutions shipped and counting.
- Become AI-native yourself . We invest in it deliberately - a structured AI training pathway that builds your capability, an AI hub that gives you a governed environment to build in, and an agent lab where your experiments become company assets. The transformation we sell to clients runs inside our own house first, starting with you.
- See the whole system, not a silo . Data, platforms, and AI are engineered as one system by one team - architects, data and AI engineers, integration and cloud specialists, designers, and QA in a single delivery model. You'll understand how the entire climb works, from raw signal to autonomous agent - the kind of end-to-end fluency most careers never offer.
- Work directly with operators, not layers below them . Our leadership team averages 20+ years of experience - entrepreneurs who have navigated multiple technology waves with a track record of customer and shareholder success - sharpened by an advisory board of senior industry executives across the four GTM functions. Here, proximity to that judgment is daily, not annual.
- Join a category being built - not maintained . Eighteen months ago, AI-Native GTM was a sentence in a deck. Today, anchor partners are staking their reputations on it publicly. Getting in while the category is being defined means your fingerprints end up on the foundation - and we treat Run as the destination, so what you build is what you'll see operate, compound, and matter.
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Skills
delivery enablementinvoicing readinesspractice coordinationTechnology environmentsProblem SolvingStakeholder CoordinationUtilizationDashboardingAnalyticsData & AIReview managementGovernance DisciplineProject TrackingPMOreportingexcelworkforce planningMIS