Website:
impetus.ai
Job details:
Role Overview
We are seeking a strategic and hands-on Senior Technical Manager to lead end-to-end customer project deliveries across Data Engineering, Cloud Transformation, Advanced Analytics, MLOps, Generative AI, and AI-driven solutions within the HCMI (Healthcare, Consumer, Manufacturing and Information Services) domain.
You will own the successful execution of complex, multi-million-dollar client engagements, drive exceptional customer satisfaction, ensure profitable delivery, and scale a high-performing delivery organization in one of the fastest-growing technology domains.
This is a pivotal leadership role for a services/product company focused on Data + Cloud + AI, combining deep technical acumen with strong P&L ownership, C-level client advisory, and delivery excellence. .
Required Qualifications
- 15+ years in Data Engineering, AI/ML delivery, or cloud transformation.
- Minimum 8–10 years of mandatory HCMI domain experience.
- Hands-on experience operationalizing LLM-based enterprise solutions.
- Experience managing multi-million-dollar transformation programs.
- Executive storytelling and consultative problem framing
- Commercial acumen (ROI, TCO, pricing constructs)
- Leadership and cross-functional influence
- Strong written and verbal communication
- Execution discipline in ambiguous environments
Delivery Management, Data Engineering, Cloud and AI
Key Responsibilities
- Own full project/program delivery lifecycle — planning, estimation, execution, monitoring, risk management, and closure.
- Lead all customer deliveries with a GenAI/AI-First mindset: Every engagement must evaluate and embed Generative AI, Agentic AI, and intelligent automation opportunities from day one (solution blueprinting, architecture, development, and operations).
- Ensure predictable, high-quality delivery with focus on velocity, quality metrics (defect rates, test coverage, DORA metrics), scalability, security and customer satisfaction.
- Build and scale high-performing engineering teams (Cloud, Databricks, Snowflake, GenAI, etc.); handle hiring, onboarding, performance management, career growth, and retention.
- Build, mentor, and scale a delivery team that lives and breathes GenAI/AI-First culture.
- Manage relationships with internal stakeholders, product teams, business units, and external vendors/partners (nearshore/offshore delivery centers).
- Identify and remove delivery impediments; escalate effectively when needed and drive continuous process improvement (CI/CD, DevOps, automation).
- Prepare and track budgets, forecasts, resource plans, and engineering KPIs; report progress through dashboards and executive reviews.
- Conduct risk & dependency management across projects; ensure compliance with security, quality, and regulatory standards.
- Champion engineering excellence — code quality, architecture governance, technical debt reduction, and adoption of modern practices (Cloud, Microservices, AI/ML where applicable).
- Collaborate with Engineering Managers and Tech Leads on capacity planning, technical roadmaps, and resource allocation.
- Support proposals and pursuits with solution positioning, win themes, value frameworks, and architecture inputs.
- Collaborate with marketing to create vertical POVs, whitepapers, webinars, and thought leadership assets
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