AI & Automation - Senior Manager

Requirements

• Master’s degree with 6+ years, or Bachelor’s degree with 8+ years, of experience in IT leadership, product management, or technology management.
• Degree in Computer Science, Information Technology, Engineering, or a related field preferred.
• Professional certifications (e.g., PMP, Agile, Product Management, Cloud, AI) preferred.
• Proven experience leading enterprise IT, digital transformation, AI, automation, or technology product initiatives.
• Strong knowledge of enterprise platforms (ERP, CRM, e-commerce) and systems integration.
• Experience managing cross-functional, distributed teams and external partners.
• Strong leadership, stakeholder management, communication, and influencing skills.
• Demonstrated success in Agile product delivery and roadmap execution.
• Experience developing business cases, prioritizing investments, and managing budgets.
• Knowledge of AI/GenAI, machine learning, workflow automation, and process optimization.
• Understanding of IT security, governance, compliance, and risk management.
• Strong analytical, problem-solving, and strategic thinking capabilities.
• Ability to drive consensus, manage competing priorities, and deliver measurable business outcomes.
• Travel up to 25%.

Key Responsibilities

Product Strategy & Roadmap

• Define and execute the vision, strategy, and roadmap for AI and Automation products.
• Identify opportunities to leverage AI, GenAI, machine learning, and automation to improve business outcomes.
• Prioritize initiatives based on business value, user needs, technical feasibility, and strategic objectives.
• Develop business cases and ROI analyses to support investment decisions.

Product Ownership & Delivery

• Own and manage the product backlog and roadmap.
• Translate business needs into user stories, requirements, and product specifications.
• Partner with engineering, architecture, data science, and UX teams to deliver scalable solutions.
• Lead Agile delivery processes, including planning, prioritization, releases, and product reviews.
• Drive successful product launches, adoption, and continuous improvement.

Stakeholder Management

• Serve as the primary liaison between business, technology, and executive stakeholders.
• Build strong partnerships to understand business needs and align priorities.
• Communicate product strategy, roadmap progress, and performance metrics to leadership.

AI & Automation Leadership

• Identify, evaluate, and implement AI-driven solutions that improve productivity, decision-making, and customer experience.
• Monitor emerging technologies and industry trends to drive innovation.
• Ensure responsible AI practices, governance, compliance, and risk management.
• Define success metrics and measure business impact of AI initiatives.

Team Leadership

• Lead, mentor, and develop product owners, business analysts, and product professionals.
• Manage a blended workforce of employees, contractors, consultants, and partners.
• Foster a culture of innovation, accountability, collaboration, and continuous improvement.