Director, SME Domain Expert - AIML Operations

The Opportunity

TP is the global leader in digital business services, supporting the world’s most innovative organizations across various sectors. With a global presence spanning over 100 countries, TP combines human expertise, advanced digital platforms, and responsible AI practices to help clients deliver seamless, secure, and scalable experiences. We are seeking a Director-level Subject Matter Expert (SME) / Domain Expert to join our TP.ai Data Services leadership team.

Responsibilities & Duties

• Serve as a trusted advisor for clients, translating domain-specific business needs into scalable AI data solutions.
• Partner with sales and solution teams on proposals, RFPs, and executive workshops.
• Represent TP.ai at conferences, industry forums, and client briefings as a thought leader.
• Define how AI/ML, LLM, SLM, RLHF, and multimodal workflows apply to your domain (e.g., autonomous driving, fraud detection, medical imaging, KYC/AML).
• Guide clients on the full data lifecycle: collection, curation, annotation, enrichment, evaluation, and compliance.
• Ensure adoption of Responsible AI practices, including bias mitigation, data privacy, and regulatory compliance.
• Provide oversight on QA frameworks, data governance, and human-in-the-loop workflows.
• Collaborate with global delivery teams to ensure projects are delivered with quality, scalability, and compliance.
• Define and monitor domain-specific KPIs, continuously improving efficiency and accuracy.
• Identify emerging opportunities and design domain-specific accelerators (e.g., multimodal annotation for autonomous vehicles, synthetic datasets for healthcare).
• Partner with product and solution architects to create new offerings that differentiate TP.ai in the market.
• Mentor internal teams to expand domain expertise and strengthen TP.ai’s leadership bench.

Qualifications

• 10+ years of professional experience, with at least 5+ years in senior leadership roles within one or more relevant domains (Automotive, BFSI, Healthcare, Retail, Media, etc.).
• Proven expertise in AI/ML data workflows, including data collection, curation, annotation, enrichment, evaluation, and governance.
• Strong knowledge of AI model development practices: LLM/SLM fine-tuning, RLHF (Reinforcement Learning with Human Feedback), multimodal data training, and evaluation.
• Deep familiarity with industry-specific compliance and regulatory frameworks (e.g, HIPAA for healthcare, GDPR/EU AI Act for privacy, PCI DSS for financial services, KYC/AML for BFSI, COPPA for education).
• Demonstrated track record of executive-level client engagement, including shaping proposals, leading workshops, and winning multimillion-dollar programs.
• Experience leading large-scale, cross-functional, and global delivery teams, with proven ability to drive operational excellence and governance.
• Advanced degree in Business, Data Science, Computer Science, Engineering, or a related field preferred; MBA a plus.
• Domain Expertise: Recognized authority in one or more verticals (e.g, autonomous driving in Automotive, fraud detection in BFSI, medical imaging in Healthcare).
• AI Data Lifecycle Mastery: Hands-on knowledge of annotation tools, QA frameworks, data governance models, and bias detection/mitigation strategies.
• Strategic Advisory Skills: Ability to partner with C-level stakeholders, understand business objectives, and design domain-tailored AI solutions.
• Governance & Compliance: Strong grounding in responsible AI principles, data ethics, privacy regulations, and risk management.
• Innovation Mindset: Proven ability to identify emerging opportunities, design new offerings, and stay ahead of industry/AI trends.
• Executive Communication: Exceptional storytelling, presentation, and influence skills with the ability to represent TP.ai at conferences and executive briefings.
• Leadership & Mentorship: Track record of mentoring teams, building internal SME capability, and strengthening organizational expertise.