Director, Product Software Engineering - AI

Wolters Kluwer•USA-MO-Remote, MO

1d•$179,200 - $320,200

About The Position

The Director, Product Software Engineering - AI leads the strategy, development, and delivery of software and AI-powered solutions intended to drive business outcomes. The role combines organizational leadership and technical expertise, building high-performing engineering teams and partnering with Product, Architecture, customers, and business stakeholders to solve complex customer problems. The leader shapes engineering strategy, mentors technical leaders, influences executive stakeholders, and advances modern AI, cloud, and software engineering practices. The position calls for a customer-first mindset, a focus on innovation, and a record of building scalable engineering organizations that deliver business value through technology. The role defines the engineering vision and roadmap for Firm Intelligence products and platforms, leads multiple teams and managers, advances engineering standards and organizational capabilities, and champions AI-enabled development and product features. It also guides architecture, supports customer-centered product decisions, develops engineering leaders, and manages budgets, resources, and organizational priorities.

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field.
10+ years of software engineering experience with progressive leadership responsibility.
5+ years leading engineering managers and multiple software engineering teams.
Experience delivering cloud-native software products and platforms using Azure, AWS, or Google Cloud.
Strong understanding of modern software architecture, APIs, DevOps, CI/CD, automation, and Agile delivery methodologies.
Experience leading teams building AI-enabled products.
Familiarity with LLMs, RAG, agentic workflows, and AI governance.
Experience using AI development tools such as GitHub Copilot or Cursor.
Customer-centric product development and co-design experience.
Experience driving engineering strategy and execution in a matrixed enterprise environment.
Demonstrated success building and scaling engineering organizations.
Strong executive communication, stakeholder management, and organizational leadership skills.

Responsibilities

Define and execute the engineering vision, strategy, and roadmap for Firm Intelligence products and platforms.
Lead multiple engineering teams and managers, aligning their work with business objectives and product strategy.
Drive organizational transformation through modern engineering, cloud, automation, and AI capabilities.
Establish engineering standards, development frameworks, and best practices to improve quality, speed, and scalability.
Champion AI-enabled software development and intelligent product capabilities.
Partner with Product Management to identify opportunities for AI, automation, and advanced analytics to create measurable customer value.
Guide architectural decisions involving cloud-native applications, APIs, platform services, and AI-powered solutions.
Foster experimentation, rapid learning, and continuous improvement.
Collaborate with customers, product leaders, and business stakeholders to understand challenges and translate them into technology solutions.
Keep engineering teams focused on solving customer problems and delivering measurable outcomes.
Use data and operational metrics to drive product decisions, prioritize investments, and evaluate success.
Build, develop, and retain high-performing engineering leaders and teams.
Coach managers and senior engineers through mentorship, technical leadership, and career development.
Create an inclusive, collaborative culture that encourages innovation, accountability, and continuous learning.
Manage budgets, resource planning, and organizational priorities to support strategic growth.