Product Management AD (Technology)

Responsibilities

• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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

Required Qualifications

• Required Job Qualifications (5yr/minimum in Title/Role)
• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
• Experience working within regulated industries (e.g., financial services, fintech) preferred
• Travel: Less than 25%/Per Business Demand
• Hands-on experience with modern development methodologies (Agile, Lean, DevOps)
• 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)
• Proven experience delivering enterprise B2B SaaS products at scale
• Strong understanding of enterprise architecture, cloud platforms, and scalable systems design
• Demonstrated ability to drive execution across complex, matrixed organizations
• Experience with or exposure to AI/ML concepts and applications in product or engineering contexts
• Strong analytical, problem-solving, and decision-making skills
• Excellent communication skills with the ability to translate technical concepts for business stakeholders