Ai implementation manager

Role : Senior Implementation Manager

About Sutra. AI Sutra. AI is a rapidly scaling AI Enterprise Saa S platform powering data-to-decision transformations for mid-market and enterprise clients. As we expand our delivery footprint, we’re seeking a Senior Implementation Manager who can elevate Sutra’s implementation workflows into a repeatable, productized delivery engine . The Implementation Leader will own the operational excellence of all AI solution deployments - from data readiness and environment setup to model rollout and go-live assurance . This is a senior execution leadership role that ensures our technical delivery remains world-class, predictable, and scalable . You will lead a team of Implementation Managers and cross-functional contributors , partnering closely with Product, AI Engineering, and Value Enablement to turn every customer implementation into a success story and reusable product pattern . You will report to the Head of Delivery with a dotted line to the CAIO , and be an integral part of Sutra’s Product Leadership Council .

Why This Role Matters The success of Sutra. AI’s product depends on the precision of its implementation . This is a remote, detail-heavy execution role focused on managing the technical workflows involved in building AI-powered applications for our customers. You will not be responsible for high-level strategy , executive relationship management , or value communication - your job is to run the technical implementation playbook with precision so that our AI apps are shipped successfully and on schedule .

Must-Have Qualifications 5+ years of technical project management experience, ideally in AI, data, or software development projects. Proven ability to run delivery projects with remote teams and distributed stakeholders. Familiarity with cloud deployment, data pipelines, APIs, and AI / ML workflows (you don’t need to build, but you should understand dependencies). Experience working in agile or semi-agile environments . Strong communication skills - especially written updates, project tracking, and structured documentation. Highly organized with an ownership mindset - you keep things moving and follow through rigorously.

Required Experience Specifics Customer-facing delivery experience : Direct customer interaction during implementations. Multi-project management : Ability to manage 4–5 concurrent implementations (customer PODs). Crisis management : Experience handling production issues or failed deployments.

Key Responsibilities 1. Delivery Excellence and Workflow Ownership Lead Sutra’s standardized transformation playbook end-to-end - covering data integration, use case definition, AI model development, and deployment. Ensure structured, measurable implementation processes that deliver on-time, high-quality outcomes for every customer. Institutionalize best practices for delivery governance, QA, and release readiness . 2. Productization of Delivery Workflows Partner with the Product and Engineering teams to transform manual or human-in-the-loop (HITL) activities into productized features and automation tools . Continuously evolve the delivery playbook into a scalable digital framework that reduces time-to-live and increases repeatability. 3. Customer Implementation Leadership Serve as the operational bridge between customer goals and technical execution. Drive alignment between Solution Architects, Data Engineers, and Developers to ensure seamless handoffs and milestone tracking. Anticipate and resolve blockers before they impact timelines. 4. People and Process Leadership Build, coach, and manage a team of Implementation Managers capable of handling concurrent enterprise projects. Foster a delivery culture grounded in ownership, precision, and accountability. Implement performance metrics aligned with customer satisfaction, on-time delivery, and risk reduction. 5. Metrics, Reporting, and Governance Track and report delivery health across all accounts using structured dashboards. Define key performance indicators (on-time delivery rate, escalation count, time-to-resolution, customer satisfaction).

Support executive leadership in quarterly business reviews and product strategy sessions . 6. Cross-Functional Collaboration Work closely with Product, Sales, and Customer Success to ensure alignment on customer commitments. Partner with AI Productization and Engineering teams to ensure seamless deployment pipelines. Participate in internal leadership meetings , providing data-driven insights on delivery operations.

Competencies Execution Leadership : Drives teams toward excellence under pressure while maintaining clarity and calm. System Thinking : Builds scalable workflows that connect technical delivery with productized value. Operational Rigor : Obsessed with timelines, structure, and measurable success. Communication Mastery : Translates between technical and business stakeholders with precision and empathy. Problem Solving : Anticipates issues, diagnoses root causes quickly, and implements sustainable fixes. Ownership Mindset : Treats delivery outcomes as core to Sutra’s reputation and customer impact.

Success Metrics ≥ 95% On-Time Delivery Rate 10% Escalation Rate per Quarter

90% Customer Satisfaction (Implementation NPS) Time-to-Resolution : Avg. Reduction in HITL tasks through productization (Quarter-over-Quarter)

Role Logistics Location : Remote / Bhopal / Noida Reporting Structure : Reports to : Head of Delivery Dotted Line : CAIO Collaborates With :

Product Management

AI Productization

Delivery Excellence Team

Customer Success & Sales Cadence & Collaboration Weekly Implementation Machine L10 Weekly Product-Delivery Sync Value Enablement Sessions Customer Steer Co and Go-Live Reviews Daily Standups and Sprint Reviews