Senior Manager - AI Transformation Technology

This role is responsible for driving the end-to-end strategy, governance, and execution of the AI Software Development Lifecycle (AI SDLC) across the organization. The Senior Manager – Dev exp & AI SDLC Program provides single-threaded program leadership to define, standardize, and operationalize tools, platforms, processes, and metrics that enable secure, scalable, compliant, and high-quality AI-enabled software delivery.

The role partners closely with engineering, data science, MLOps, security, legal/compliance, product management, and client engagement teams to ensure AI initiatives move efficiently from ideation to production and sustained operations. The role leads cross-functional programs rather than day-to-day DevOps execution, focusing on strategy, alignment, and outcomes across multiple teams and products.

ResponsibilitiesProgram & Strategy Leadership

• Owns the E2E AI SDLC program, spanning data ingestion, model development, validation, deployment, monitoring, and continuous improvement.
• Defines and drives DevX strategy for AI and software delivery, aligning engineering execution with business, security, and compliance objectives.
• Leads cross-org initiatives to standardize AI SDLC practices, including MLOps, CI/CD for AI, model governance, observability, and release readiness.
• Translates executive priorities into clear program roadmaps, milestones, and success metrics.

Technical Governance & Enablement

• Establishes reference architectures, standards, and guardrails for AI-enabled systems across cloud and hybrid environments.
• Partners with DevOps, MLOps, platform, and security teams to ensure tooling alignment across CI/CD, model lifecycle management, monitoring, and access control.
• Ensures security, privacy, Responsible AI, and regulatory requirements are embedded into the AI SDLC by design.
• Evaluates emerging technologies and platforms to recommend scalable, future-ready solutions for AI and developer productivity.

Execution Oversight (Not Line Execution)

• Oversees execution of high-impact, multi-team programs, resolving dependencies, risks, and delivery bottlenecks.
• Drives adoption of automation, quality gates, and operational readiness criteria for AI and software releases.
• Establishes program-level dashboards to track health, velocity, compliance, and operational outcomes.

Stakeholder & Leadership Engagement

• Acts as the primary point of accountability for AI SDLC maturity across the organization.
• Provides regular, concise updates to senior leadership on progress, risks, trade-offs, and outcomes.
• Builds strong partnerships across development, data science, operations, security, legal, and product teams to drive alignment and shared ownership.

People & Capability Development

• Leads and mentors program managers, technical leads, and DevX contributors aligned to AI SDLC initiatives.
• Guides capability development through role-based enablement, best practices, and change management.
• Influences resourcing and prioritization decisions in collaboration with functional leaders.

Education & Experience Recommended

• Four-year or Graduate Degree in Computer Science, Information Systems, Engineering, or related discipline, or equivalent practical experience.
• Typically 10+ years of experience in software engineering, DevOps, platform engineering, AI/ML systems, or large-scale technical program management.
• 5+ years leading cross-functional technical programs involving multiple engineering and platform teams.

Preferred Certifications

• AWS Certified DevOps Engineer, AWS Machine Learning, Azure AI Engineer, or equivalent cloud/AI certifications.
• Agile / SAFe Program Consultant (SPC), PMP, or similar program leadership certification (preferred).

Knowledge & SkillsCore Technical

• AI/ML Systems & MLOps
• CI/CD for Software and AI Pipelines
• Cloud Platforms (AWS, Azure)
• Automation & Infrastructure as Code
• Observability, Monitoring, and Model Performance Tracking
• Microservices & Distributed Systems
• Security, Compliance, and Access Governance
• APIs and Platform Integration

Software & AI Development

• Python, Java, JavaScript (working knowledge)
• Containers & Orchestration (Docker, Kubernetes)
• Data & Model Lifecycle Management
• Scalability and Reliability Engineering

Program & Leadership

• Agile & Product-Oriented Delivery Models
• Dependency & Risk Management
• Metrics-Driven Execution
• Executive Communication
• Change Management

Cross-Org Skills

• Strategic Thinking
• Customer Centricity
• Prioritization Across Competing Initiatives
• Resilience in Ambiguous Environments
• Influence Without Direct Authority

Impact & Scope

• Impacts large, multi-disciplinary engineering and AI functions across HP.
• Shapes how AI-enabled software is designed, delivered, governed, and operated at scale.
• Directly influences time-to-market, quality, compliance posture, and developer productivity.

Complexity

• Operates in a highly complex, evolving technical and regulatory landscape.
• Applies managerial and program leadership concepts to resolve ambiguous, high-impact problems.
• Achieves outcomes through matrixed teams and indirect leadership.