Head, AIML Strategy & Gen AI Lead

Maximize Your Impact with TP

Welcome to TP, a global hub of innovation and empowerment, where we redefine the future. With a remarkable €10 billion annual revenue and a global team of 500,000 employees serving 170 countries in over 300 languages, we lead in intelligent, digital-first solutions.

As a globally certified Great Place to Work in 72 countries, our culture thrives on diversity, equity, and inclusion. We value your unique perspective and believe that your talent is the missing piece that completes our vision for a brighter, digitally driven tomorrow.

The Opportunity

TPs AIML/GenAI ecosystem is a fast-paced and dynamic environment. As the Head - AIML Strategy & Gen AI Lead, you will collaborate across TP.ai to drive the delivery of high-impact AI solutions aligned with business objectives. In this role, you will lead the development and execution of strategic research and delivery of our unique solution-offering agenda in AI, ensuring the implementation of cutting-edge capabilities for our clients and markets.

You will oversee the end-to-end lifecycle of AIML/GenAI solutions, from gathering initial requirements to selection, design, and scalable deployment—while ensuring cross-functional alignment between operations and engineering teams. Additionally, you will play a key role in understanding client priorities, aligning AI operations to business needs, and optimizing resource capacity planning. Maintaining strong customer relationships and ensuring seamless execution of AI initiatives will be critical to success in this role.

Key Specialized Areas

AI/ML – Including Data Services (e.g., Data Labeling & Annotation)

Generative AI – Solution Design & Delivery

Trust & Safety

The Responsibilities & Duties

Define, structure, and execute strategic AI/ML initiatives focused on production/operations, ensuring effective governance of AIML platforms and the development of an AI operating and engagement model.

Identify, diagnose, and resolve solution and performance challenges by researching and applying AI advancements to enhance core business products.

Develop AI acceleration strategies and collaborate across teams to integrate AIML/GenAI solutions into internal and external platforms.

Design and apply data analysis methodologies to drive insights, including data mining, statistics, machine learning, NLP, sentiment analysis, and text mining.

Lead initiatives to enhance product and process quality, improving efficiency and scalability.

Build and sustain a high-performing AI Solutions team by recruiting top talent, providing ongoing training, and mentoring staff.

Unify, enrich, and analyze customer data to generate actionable insights and new business opportunities.

Leverage existing in-house data platforms and recommend/build new solutions to exceed business requirements.

Communicate findings, recommendations, and optimization strategies for data systems and AI solutions.

Partner with the business development team to design and execute AIML/GenAI solutions based on client needs.

Demonstrate a deep understanding of AI concepts, tools, and methodologies and effectively mentor teams on best practices.

Apply data-driven approaches to align AI/ML solutions with specific business outcomes.

Collaborate, influence, and build team consensus through strong relationships and active listening.

The First-Year Objectives

Define and implement a comprehensive AI/ML & GenAI strategy aligned with business goals

Define our unique AIML/GenAI Capabilities including AI model training, deployment, and governance.

Build a high-performing AIML and GenAI talents & organization, focusing on specialized expertise.

The Qualifications

BA/BS or Masters in Computer Science, Data Science, Artificial Intelligence, Engineering, Mathematics, or a related technical field.10+ years of experience in AI/ML, Generative AI, data science, or related fields, focusing on strategy, solutions, and implementation.

Proven experience leading global AI/ML initiatives, driving AI transformation and scaling AI/ML solutions across multiple industries.

Hands-on experience with cutting-edge AI technologies, including LLMs (Large Language Models), multimodal AI, reinforcement learning, and edge AI.Strong knowledge of machine learning, deep learning, natural language processing (NLP), computer vision, and Generative AI frameworks (e.g., TensorFlow, Hugging Face, OpenAI, etc.).

Experience with data services such as labeling, annotation, synthetic data generation, and pipeline management.

Expertise in MLOps, AI model lifecycle management, and AI/ML infrastructure optimization.

Familiarity with AI model training, fine-tuning, and deployment in cloud environments (e.g., AWS, Google Cloud, Azure).

Understanding AI ethics, bias mitigation, and Trust & Safety principles related to AI/ML and GenAI applications.

Deep understanding of AI security, model robustness, and adversarial attacks.

Familiarity with federated learning, privacy-preserving AI, and regulatory AI frameworks.

Proven ability to define and execute AI/ML strategies, aligning solutions with business goals and market trends.

Experience leading cross-functional teams, including data scientists, AI engineers, product managers, and business stakeholders.

Strong background in AI governance, risk management, and regulatory compliance (GDPR, CCPA, AI Act, etc.).

Experience designing and implementing AI Center of Excellence (CoE) and AI operating models.

Ability to translate complex AI concepts into actionable business strategies and communicate with executives and non-technical stakeholders.

Strong experience in AI-driven product development, GTM strategy, and AI monetization models.

Expertise in managing AI partnerships, vendor selection, and external collaborations.

Ability to influence C-suite executives and board-level discussions on AI investments

and roadmaps.

Proven expertise in AI ethics, responsible AI development, and regulatory compliance (GDPR, CCPA, EU AI Act, etc.).

Experience launching AI-based products and services, including pricing and monetization strategies.

Strong background in AI research and development (R&D) and productization of AI/ML models.

Experience building and scaling AI Centers of Excellence (CoE) within large enterprises.

Strong track record in AI-driven business transformation and innovation strategy.

Established thought leadership in AI/ML, with publications, patents, or keynote speaking engagements at industry conferences (e.g., NeurIPS, AI Summit, TrustCon, Data+AI Summit).

Strong network and relationships within AI research communities, academia, startups, and industry consortia.

Experience securing AI-related funding, partnerships, and alliances with BigTech, startups, and regulatory bodies.

Pre-Employment Screenings

By TP policy, employment in this position will be contingent on your successful completion and passage of a comprehensive background check, including global sanctions and watch list 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.

Diversity, Equity & Inclusion

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 based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or other differences.

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