Engagement Manager - AI

Role Overview: Engagement Manager As an Engagement Manager with our client, you will own the end-to-end success and profitability of one or more strategic client accounts. Acting as the single-threaded leader, you will translate client business objectives into well-governed delivery leveraging our client's GenAI Factory, Agentic AI, and Data Platform offerings on AWS. This role sits at the intersection of strategy, delivery, and growth — requiring you to engage senior stakeholders, shape commercials, and ensure delivery excellence across squads. You will orchestrate pre-sales through production-scale programs, balancing business value realization with commercial predictability and compliance rigor. The ideal candidate thrives in complex client environments, combines commercial acumen with delivery discipline, and can confidently bridge CxO-level business conversations with technology execution. What You'll Do & The Impact You'll Have As an Engagement Manager, you will own the end-to-end success and profitability of our most strategic client accounts. Acting as the single-threaded leader, you will: Be the Trusted Partner – Build executive-level relationships, navigate complex organizations, and ensure alignment on value delivery and transformation goals. Drive Business Growth – Translate our client's GenAI Factory, Agentic AI, and Data Platform capabilities into compelling business outcomes that expand client budgets and sponsorship. Ensure Predictable Delivery – Govern multi-squad programs from discovery to hypercare with rigor, discipline, and security/compliance at the core. Own the Numbers – Manage account-level P&L, driving revenue, margin, and collections with transparency and precision. Shape the Future of AI/ML at Scale – Orchestrate pilots-to-production journeys on AWS, embedding best practices for cost, security, and evaluation guardrails. Build High-Performing Teams – Scale and coach cross-functional squads, fostering a culture of accountability, innovation, and measurable impact. Requirements What You'll Bring to the Table Must-Have Skills: Client Leadership & Stakeholder Management: Proven ability to engage senior client executives, run QBRs, align roadmaps, and manage escalations across complex organizations. Account P&L Ownership: 3–5+ years of experience owning revenue, gross margin, forecasting, invoicing/collections, and profitability levers at account level. Delivery Governance: Hands-on experience with gated delivery frameworks, RAIDs, SteerCos, quality gates, change control, and SDLC best practices (CI/CD, IaC, evaluation guardrails). Solution Fluency (High-Level): Understanding of GenAI (RAG/Graph-RAG, guardrails, evals), Data Platforms (ETL, catalog/lineage, Iceberg/Delta, Redshift), and AWS (S3, Lambda, Bedrock, SageMaker, EKS, IAM). Growth Leadership: Track record of expanding client relationships, leading pursuits, building value cases, and shaping proposals/SOWs. Risk, Compliance & Quality: Skilled in regulatory alignment (data privacy, model governance, masking/consent), maintaining risk registers, and enforcing delivery excellence. People & Culture: Experience coaching PMs/EMs/Tech Leads, scaling multi-squad delivery models, and embedding high-accountability team practices. Commercial Acumen: Strong command over pricing models (T&M, squad-based), change orders, contract mechanics (MSA/SOW/WO), and negotiation with client procurement/legal. Experience: 8–15 years in consulting, SI, or product-led services with at least 3–5 years of account-level P&L accountability. Education: Bachelor’s degree in Engineering or MBA (both preferred). Nice-to-Have Skills: Deep hands-on experience with GenAI orchestration frameworks (Bedrock Agents, MCPs, tool integrations). Familiarity with modern data stack tooling (DBT, Glue, Lake Formation, Apache Airflow). Multi-hyperscaler awareness (Azure, GCP) beyond AWS. Prior experience working across ASEAN & Australia markets with cross-cultural delivery. Exposure to regulatory frameworks (APRA, MAS TRM, PDPA, GDPR) in data/AI programs. Thought leadership: whitepapers, conference presentations, or industry panels. Track record of shaping strategic GTM offerings in GenAI, Data, or Cloud consulting.