Senior Director, Cloud Transformation

Otis Elevator Co.•Farmington, CT

3d•Hybrid

About The Position

The Senior Director, Cloud Transformation leads the strategy, architecture, and enablement of the enterprise cloud and AI platform ecosystem. This role partners across product, security, data, and application teams to deliver secure, reliable, scalable cloud capabilities (compute, storage, network, Kubernetes, CI/CD, observability, developer experience) and AI platform capabilities that accelerate delivery and improve business outcomes. This person must be able to go into the office in Farmington, CT three times a week.

Requirements

12+ years of experience in cloud architecture, platform engineering, infrastructure modernization, or containerization, with a strong foundation in related technologies.
Includes at least 5+ years leading managers and multi-team organizations
Proven experience building and operating enterprise cloud platforms (AWS, Azure, and/or GCP) at scale, including networking, security, and governance
Deep knowledge of Kubernetes and container platforms; infrastructure-as-code (Terraform, Bicep/ARM, CloudFormation), and modern CI/CD practices
Track record delivering high-availability systems with mature incident management, SLO/SLI practices, and strong operational rigor
Hands-on understanding of AI/ML and generative AI platform needs (model lifecycle, serving, evaluation, vector databases, RAG architectures, AI cost management)
Experience implementing security-by-design and compliance controls in regulated environments (e.g., SOC2, ISO 27001, PCI, HIPAA—as applicable)
Strong executive communication skills with ability to translate technical tradeoffs into business impact
Bachelor’s degree in computer science, Engineering, or equivalent practical experience
Applicants must have authorization to work in the U.S. now and in the future without sponsorship.

Nice To Haves

Experience establishing an internal developer platform (IDP) and product management mindset for platform teams
Experience with enterprise IAM patterns, zero trust architectures, secrets management, and policy-as-code (e.g., OPA/Gatekeeper)
Experience with data platforms and governance (lakehouse/warehouse, data catalog, lineage) and their integration with AI/ML workflows
Familiarity with major AI platforms and tooling (e.g., Azure AI, SageMaker, Vertex AI, Databricks, Snowflake, OpenAI/Azure OpenAI) and evaluation/guardrail frameworks
Master’s degree (MS/PhD) in a relevant field or MBA with strong technical background
Strategic thinking with bias for execution; can set direction while delivering measurable outcomes
Customer-centric platform leadership treats internal engineering teams as customers and designs for usability and adoption
Strong cross-functional influence across Security, Data, Architecture, Finance, and Product
Operational excellence: builds repeatable processes, clear accountability, and resilient systems
Talent builder: hires and develops leaders; fosters inclusive, high-performing teams
Clear, concise communication; comfortable presenting to executives and technical audiences

Responsibilities

Set and communicate the vision, operating model, and multi-year roadmap for Multi cloud & AI Platforms aligned to enterprise strategy.
Lead cloud architecture team delivering the foundation for core cloud services (landing zones, identity, networking, compute, storage, Kubernetes, service mesh) with architectures designed to meet SLOs and reliability practices.
Own the developer enablement strategy, including CI/CD patterns, infrastructure-as-code, golden paths, templates, and self-service automation.
Establish scalable observability and DR architecture: monitoring, logging, tracing, and disaster recovery tools & design.
Define and evolve the enterprise AI platform architecture, including AI landing zones, model serving patterns, RAG architectures, vector search integration, prompt management, evaluation, and guardrails.
Define GenAIOps standards including reproducibility, automated testing, model/prompt evaluation, and release governance.
Partner with Security, Risk, and Compliance to embed security-by-design, policy-as-code, data protection, and responsible AI controls (privacy, fairness, explainability, auditability).
Drive cloud financial management (FinOps): cost visibility, unit economics, budgeting, chargeback/showback, optimization, and vendor management.
Define platform standards and reference architectures, influence application modernization and AI adoption across business units.
Manage and develop leaders: hiring, performance management, coaching, succession planning, and creating a high-trust, high-accountability culture.
Measure and improve platform outcomes using KPIs (deployment frequency, lead time, change failure rate, MTTR, SLO attainment, cost per workload, AI time-to-value).
Represent the platform organization in executive forums; provide clear updates on progress, risks, and tradeoffs.

Benefits

401(k) plan with a generous company match and an automatic retirement contribution
Comprehensive medical, prescription drug, dental, and vision coverage for you and your eligible dependents
Three weeks of paid vacation
Paid company holidays
Paid sick leave
Employee assistance programs
Wellness incentive programs
Life insurance
Disability coverage
Voluntary benefits, including options for legal, pet, home, and auto insurance
Generous birth/adoption and parental leave benefits
Adoption assistance
Tuition reimbursement program
Service anniversaries recognition
Spot performance bonus opportunities