Senior Manager - AI Transformation

Senior Manager - AI Transformation Description - This role- AI Transformation Technology 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.

Program & 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.

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 & Skills Core Technical • AI/ML Systems & MLOps • CI/CD for Software and AI Pipelines • Cloud Platforms