Senior Director, Technology Strategy & Engineering

Key Responsibilities Technology Strategy & Architecture Partner with the SVP of Technology to define technical strategy, architecture standards, platform direction, and modernization priorities. Review major architecture decisions across software, data, AI/ML, cloud, infrastructure, and integration platforms. Challenge weak technical designs and guide teams toward scalable, maintainable, and cost‑effective solutions. Serve as the SVP's delegate in technical reviews, planning discussions, vendor evaluations, and cross‑functional initiatives. AI, Data & Platform Leadership Lead and guide AI, ML, data engineering, analytics, and automation initiatives. Help teams move AI ideas from prototype to production‑grade systems. Provide direction on RAG, agentic systems, LLMOps, reasoning models, model evaluation, data pipelines, data governance, observability, and responsible AI practices. Ensure AI and data platforms are reliable, measurable, secure, and aligned to business outcomes. Engineering Execution Work with technology leads to improve delivery discipline, technical quality, and engineering consistency across teams. Identify execution risks, technical debt, infrastructure bottlenecks, and unclear ownership. Help unblock complex technical and organizational issues. Drive measurable improvements in reliability, delivery speed, system performance, and engineering productivity. People & Technical Leadership Coach tech leads, architects, staff engineers, engineering managers, data engineers, ML engineers, and software engineers. Raise the technical bar through architecture reviews, mentoring, design critiques, and hands‑on guidance. Support hiring, onboarding, technical career growth, and succession planning. Identify and develop future technical leaders. Infrastructure, Cost & Operational Efficiency Partner with cloud, DevOps, infrastructure, and finance teams to manage technology cost and platform efficiency. Review cloud spend, tooling, licensing, vendor usage, and build‑versus‑buy decisions. Drive cost optimization without compromising scalability, security, reliability, or product quality. Establish KPIs around system reliability, infrastructure efficiency, AI quality, platform reuse, and engineering effectiveness. Other duties as assigned. Required Qualifications Bachelor's degree in software engineering or a related technical field. 10+ years of experience in software engineering, architecture, data engineering, AI/ML, cloud infrastructure, or platform engineering. 5+ years leading technical teams, architects, engineering managers, or senior engineers, preferably in a global environment. Strong technical depth across modern software architecture, APIs, distributed systems, cloud platforms, DevOps, and data platforms. Hands‑on understanding of AI/ML systems, including LLMs, reasoning models, multimodal models, embeddings, rerankers, RAG, agent workflows, model evaluation, and production deployment. Experience evaluating when to use general‑purpose LLMs, smaller task‑specific models, reasoning models, and traditional ML models based on accuracy, latency, cost, risk, and business value. Familiarity with prompt engineering, structured outputs, tool/function calling, agentic workflows, model orchestration, hallucination reduction, and LLM observability. Ability to guide teams on LLM selection, inference cost optimization, model safety, guardrails, data privacy, and production deployment. Understanding of emerging AI architecture patterns, including multi‑agent systems, reasoning loops, retrieval‑augmented generation, memory, model routing, and human‑in‑the‑loop review. Experience with data engineering, analytics platforms, lakehouse/warehouse architecture, data quality, and governance. Strong judgment in technical decision‑making, cost tradeoffs, risk management, and execution planning. Ability to influence senior technical leaders without needing direct authority over every team. Strong communication skills with executives, product leaders, engineers, and business stakeholders. Ability to lead, decide, coach, and execute and represent the SVP as required. Preferred Qualifications Experience with AWS, Azure, Databricks, Snowflake, Kubernetes, Kafka, Spark, MLflow, Terraform, CI/CD, and observability platforms. Experience building production systems using OpenAI, Anthropic Claude, Amazon Bedrock, Azure OpenAI, Databricks Foundation Models, or open‑source models such as Llama and Mistral. Experience with LLMOps, including prompt/version control, evals‑as‑code, regression testing, model monitoring, AI quality metrics, and cost/latency tracking. Experience building production AI platforms, enterprise RAG systems, agentic workflows, or AI governance programs. Strong software engineering background in Python, Java, C#, TypeScript, or similar. Experience with DDD, CQRS, event‑driven architecture, microservices, clean architecture, and platform engineering. Experience in enterprise SaaS, fintech, nonprofit/association software, or regulated industries. Benefits Medical, Dental & Vision Benefits 401(k) Savings Plan with Company Match Flexible Planned Paid Time Off Generous Sick Leave Inclusive & Welcoming Environment Purpose‑Driven Culture Work‑Life Balance Commitment to Community Involvement Employer‑Paid Parental Leave Employer‑Paid Short‑Term Disability Remote Work Flexibility Momentive Software actively embraces diversity and equal opportunity in a meaningful way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be, which is why we do not discriminate based on race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. All persons hired will be required to verify identity, minimum age of 18, eligibility to work in the United States (without sponsorship), and to complete the required employment eligibility verification form upon hire. #J-18808-Ljbffr Stryker Corporation