Global Director, AI Products

Shape the Future with TP Welcome to TP, a global leader in AI-powered digital business services where technology meets human empathy. Generating over €10 billion in annual revenue and backed by a global team of nearly 500,000 passionate experts, we partner with the world’s most iconic brands across nearly 100 countries in over 300 languages. By combining advanced artificial intelligence, proprietary technology, and high-touch human care, we redefine digital customer experience, process automation, and enterprise solutions. As a certified Great Place to Work® across almost 100 countries, our foundation is built on an inclusive culture and a genuine sense of belonging. Whether you are driving digital transformation, elevating client success, or building cutting-edge solutions, your talent is the key to unlocking what’s next. Why This Role Matters In this role, you will define and drive the vision and strategy for AI-powered solutions supporting, translating business needs into product requirements, prioritizing development initiatives, and overseeing product delivery. deployment and continuous improvement. The role also ensures that AI-enabled recruitment solutions are designed and implemented in accordance with responsible principles, data privacy requirements, and applicable regulatory standards. The role bridges needs from the business functions, countries and regions, IT, and AI engineering, ensuring that solutions deliver measurable business value, improve operational efficiency and are deployed at scale. How You Will Make an Impact - Define and articulate an ambitious, clear vision for your solution by translating business priorities and stakeholder needs into a coherent, sequenced product features and communicate it credibly to executives, clients, regional leaders and build teams. - Define and own the multi-year strategy and product vision, ensuring it directly supports the company's business strategy, and transformation agenda. - Stay current on AI and agentic developments and identify where they create value for the solution and its users. - Define product objectives and success metrics to measure business value, adoption, and the effectiveness of AI-enabled solutions. - Run a structured, ongoing dialogue with regions and countries to understand local needs, processes and regulatory constraints, and translate them into prioritized roadmap items. - Balance global standardization against local requirements: decide what belongs in the reusable core, what is local configuration, and which proven local solutions are worth scaling globally. - Manage senior stakeholders proactively (Sponsor, business and country leaders, client executives): set expectations, negotiate priorities, communicate trade-offs and resolve conflicts without escalation. - Close the loop with the regions: show what was prioritized, what was not and why, and what was delivered. - Challenge the current operating model and processes the solution is meant to serve: question whether to automate, redesign or stop, rather than digitizing legacy ways of working. - Define, with regions, the operating model changes needed for adoption (roles, hand-offs, controls, human oversight) and make them part of the product scope. - Ensure that proposed solutions address operational needs, responsible AI principles, data privacy requirements, and applicable regulatory standards. - Translate business needs into product requirements, ; manage and prioritize the product backlog based on business value, user needs, technical feasibility. - Own the core product documents across the development lifecycle: the business requirements document (the problem and who it is for), the product requirements document (proposition, target user experience and minimum viable scope), and the functional design specification (detailed behavior). - Monitor product performance and user feedback, validate delivered functionality, and drive enhancements based on measurable outcomes and evolving business needs. - Retain final sign-off on the release of any high-risk AI capability, confirming that functional, fairness, security and compliance checks have been passed. - Define priorities for the development pods assigned to your solution, articulating between Product (product manager, functional analyst / UX), Engineering (engineering manager, AI engineers, full-stack developer, quality assurance) and Data (data engineering). - Keep pods focused on the reusable core platform rather than bespoke single-client builds. - Manage dependencies, risks and trade-offs to protect the delivery timeline. - Partner with regions and coordinate stakeholder alignment, user feedback, and adoption activities to support successful implementation and sustained value realization. - Secure input from Cloud, Security, Legal, Global Privacy & Data Ethics, Product Marketing, Finance and HR through the agreed governance forums, and embed responsible-AI requirements in the design. - Build on TP's shared, standardized data layer rather than new bespoke pipelines, and confirm client data rights before build begins. Your Roadmap to Success - Adoption: Number of countries using the product. - Operational KPIs: improvement in selected operational KPIs related to the product - Cost-savings: Cost reduction from product adoption What You Bring to the Team - Bachelor’s or Master’s degree in Business, Computer Science, Engineering, or a related field. - 10+ years of progressive professional experience, including experience in Product Management, HR Technology, Digital Transformation, or a related field. - Direct experience presenting to and collaborating with C-suite executives, cross-functional teams, including client CTOs and business unit heads. - Experience defining product KPIs, analyzing performance data, and translating business needs into measurable product outcomes. - Experience operating across multiple geographies, balancing global standardization against local requirements. - Strong understanding of Product Management and Product Ownership principles, including product vision, roadmap development, backlog management, and prioritization frameworks. - Knowledge of AI capabilities, intelligent automation, and their practical applications in HR - Strong financial and commercial acumen, including business case development, total cost of ownership, return on investment analysis and complex contract negotiation, with particular attention to AI-specific terms - Ability to translate business requirements into structured product specifications, user stories, acceptance criteria, and functional requirements. - A proactive approach to product development, with a strong focus on delivery quality, continuous improvement, and measurable outcomes. - Strong analytical skills, including the ability to define KPIs, interpret product performance data, and assess business value. - Ability to engage diverse stakeholders, manage expectations, resolve competing priorities, and build alignment across business and technical teams. - Excellent written and verbal communication skills, with the ability to translate complex technical concepts into clear business requirements and recommendations. - Ability to assess complex challenges, evaluate alternatives, and make evidence-based product decisions. Pre-Employment Screenings By TP policy, employment in this position will be contingent on your successful completion of and passage of a comprehensive background check, including global sanctions and watchlist screening. Important | Policy on Unsolicited Third-Party Candidate Submissions TP does not accept candidate submissions from unsolicited third parties, including recruiters or headhunters. Applications will not be considered, and no contractual association will be established through such submissions. Culture & Belonging At TP, we are committed to fostering a diverse, equitable, and inclusive workplace. We welcome individuals from all backgrounds and lifestyles and do not discriminate on the basis of gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or other differences.