Product Management AD (Technology) - Hybrid (USA) R0058210

Product Management AD (Technology) – Hybrid (USA) R0058210 | FCC - CS/Wolters Kluwer Financial Services, Inc. Overview The Product Management AD (Technology) is a key leadership role responsible for driving technology execution across a portfolio of enterprise SaaS solutions. This role partners closely with Product Management and Engineering leadership to translate product strategy into scalable, secure, and high‑performing technology solutions. The Associate Director will lead multiple development teams, champion modern software development practices, and play a critical role in advancing AI‑enabled capabilities—both within internal development processes and customer‑facing products. This position requires a strong balance of technology leadership, operational execution, and innovation mindset to support high‑growth, mission‑critical solutions in a regulated industry environment. Hybrid: Eight days a month we come together in the closest office (USA/Prefer MN) within 50 miles to experience the value of connecting with colleagues. You will report to the Director, Product Management and work under the leadership of the EVP & General Manager, FCC Compliance Solutions. This role is a part of FCC | CS WK Financial Services, Inc.. Please view the site office location directory for potential office preferences nationwide. #LI-Hybrid Must be legally authorized to work in the United States without employer sponsorship, now or in the future. Required Job Qualifications 5yr/ minimum in Title/Role Education Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience) Experience 10+ years of experience in software development, engineering leadership, or technology delivery 5+ years of experience managing engineering or cross‑functional development teams in a manager role/title (direct reports 6‑9 range) Travel: Less than 25%/Per Business Demand Proven experience delivering enterprise B2B SaaS products at scale Experience working within regulated industries (e.g., financial services, fintech) preferred Hands‑on experience with modern development methodologies (Agile, Lean, DevOps) Skills & Capabilities Strong understanding of enterprise architecture, cloud platforms, and scalable systems design Experience with or exposure to AI/ML concepts and applications in product or engineering contexts Demonstrated ability to drive execution across complex, matrixed organizations Strong analytical, problem‑solving, and decision‑making skills Excellent communication skills with the ability to translate technical concepts for business stakeholders What Success Looks Like Development teams consistently deliver high‑quality, on‑time releases Adoption of modern development practices improves team velocity and predictability AI capabilities are successfully integrated into both products and internal engineering workflows Technology strategy is clearly aligned with product priorities and enabling measurable business outcomes Teams demonstrate strong engagement, growth, and a culture of continuous improvement Responsibilities Technology Strategy & Execution Translate product and business strategies into actionable technology roadmaps and execution plans Lead platform modernization efforts, including SaaS transformation, architecture evolution, and system integration Ensure alignment between technology investments and product roadmap priorities Engineering Leadership Lead and manage multiple development teams (typically 2–4 teams), ensuring high performance, engagement, and delivery outcomes Partner with Product, UX, and cross‑functional stakeholders to prioritize work and drive execution Establish strong team accountability for delivery quality, timelines, and outcomes Development Process Excellence Implement and scale modern development practices, including Agile, Lean, and Spec Driven Development (SDD) Drive adoption of data‑driven, customer‑centric development methodologies Improve development velocity, release quality, and predictability AI & Innovation Leadership Lead initiatives to embed AI/ML capabilities into products and internal development workflows Partner with innovation teams to translate emerging technologies into practical, scalable solutions Identify and deliver AI‑driven efficiency gains across engineering and product delivery processes Product & Business Alignment Collaborate closely with Product Management to ensure technology execution aligns with product strategy and customer needs Support delivery of high‑value features while balancing speed, quality, and cost considerations Contribute to product lifecycle planning and SaaS delivery models Operational Excellence & Governance Establish and maintain standards for security, scalability, availability, and regulatory compliance Define and monitor engineering KPIs and performance metrics Ensure adherence to enterprise standards for data protection and system reliability Change Leadership & Talent Development Lead teams through adoption of new technologies, processes, and ways of working Coach and mentor team members to build next‑generation technical leadership capabilities Foster a culture of continuous improvement, innovation, and accountability Additional Information Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request. Compensation $133,400.00 - $238,400.00 USD. This role is eligible for Bonus. EQUAL EMPLOYMENT OPPORTUNITY: Wolters Kluwer U. S. Corporation and all of its subsidiaries, divisions and customer/business units is an Equal Opportunity / Affi... All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. #J-18808-Ljbffr Wolters Kluwer