Director of AI-Driven Product Engineering

Wolters Kluwer

Frankfort (KY)

On-site

USD 179,000 - 320,000

Full time

6 days ago

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Benefits offered by this job

Medical, Dental, Vision Plans

401(k)

FSA/HSA

Tuition Assistance

Vacation and Sick Time

Paid Parental Leave

Job summary

Wolters Kluwer is seeking a Director of Product Software Engineering - AI to lead strategy, development, and delivery of AI-powered software solutions. You will nurture high-performing teams, partner with Product and Architecture, and drive the adoption of modern AI and cloud practices to deliver measurable customer value.

You will guide architectural decisions, foster innovation, and manage budgets while aligning with business objectives.

Qualifications

Bachelor's degree in Computer Science, Engineering, or 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 (GitHub Copilot, Cursor, etc.).
Customer-centric product development and co-design experience
Experience driving engineering strategy and execution within 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, ensuring alignment 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 that improve quality, speed, and scalability.
Champion the adoption of AI-enabled software development and intelligent product capabilities.
Partner with Product Management to identify opportunities where AI, automation, and advanced analytics can create measurable customer value.
Guide architectural decisions involving cloud-native applications, APIs, platform services, and AI-powered solutions.
Foster a culture of experimentation, rapid learning, and continuous improvement.
Collaborate closely with customers, product leaders, and business stakeholders to understand challenges and translate them into innovative technology solutions.
Ensure engineering teams remain focused on solving customer problems and delivering measurable outcomes.
Utilize 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.