Director AI

This role is for one of Weekday’s clients

Salary range

Rs 6800000 - Rs 10000000 (ie INR 68 - 100 LPA)

Min Experience

12+ years

Location

Bangalore

JobType

full-time

We are seeking a strategic and hands-on Director – AI to lead the development and execution of the organisation's AI product strategy. The ideal candidate will be responsible for transforming high-value business challenges into secure, scalable, and commercially impactful AI products, taking them from initial discovery and prioritisation through development, launch, adoption, and continuous improvement.

This is a high-impact leadership role at the intersection of AI, Product Management, Technology, and Business. You will define the organisation-wide AI vision and build a focused product portfolio that moves AI beyond isolated experiments into repeatable, reliable, and measurable business outcomes.

The portfolio may span Generative AI, Predictive Machine Learning, Intelligent Automation, and AI-powered customer experiences across areas such as fraud detection, risk management, customer support, personalised payment experiences, and operational efficiency.

Requirements

Key Responsibilities

• Define the AI product vision, strategy, and roadmap in collaboration with business and technology leadership.
• Build and prioritise an AI product portfolio based on customer needs, business value, technical feasibility, risk, and speed of execution.
• Own the complete product lifecycle, including problem discovery, use-case definition, experimentation, prioritisation, development, launch, adoption, and optimisation.
• Partner with AI/ML engineers, data scientists, designers, platform teams, and business stakeholders to deliver reliable AI products at scale.
• Evaluate and integrate external AI platforms and LLM solutions where they offer strategic and business advantages, ensuring security, privacy, cost, and performance considerations.
• Establish modern AI product practices covering model evaluation, human-in-the-loop workflows, feedback mechanisms, observability, and continuous improvement.
• Translate AI capabilities into measurable business outcomes, including revenue growth, monetisation, cost optimisation, productivity, risk reduction, and improved customer experience.
• Establish governance frameworks for Responsible AI, regulatory compliance, data privacy, security, explainability, risk management, and auditability.
• Build and strengthen AI Product Management capabilities through talent development, operating frameworks, decision-making processes, documentation, and best practices.
• Lead, mentor, and develop high-performing teams while influencing senior stakeholders across the organisation.

Key Success Metrics

• Establish a focused AI roadmap aligned with strategic business priorities and customer outcomes.
• Successfully launch and scale AI products with measurable improvements in value, quality, safety, reliability, and user experience.
• Drive tangible business impact through improved productivity, operational efficiency, customer engagement, revenue, cost optimisation, and risk management.
• Implement robust AI evaluation and governance frameworks that enable responsible experimentation and deployment.
• Develop a repeatable AI product operating model and build a capable team that can take AI initiatives from discovery to measurable impact.

Must-Have Skills and Qualifications

• 12–18 years of overall experience, with 12–14 years specifically in Product Management.
• At least 3 years of experience building or scaling AI-driven products.
• Proven track record of launching B2C or B2B AI/ML-powered products at scale and driving sustained adoption beyond pilot stages.
• Strong understanding of Generative AI and its product applications, including LLMs, transformers, embeddings, and modern AI application architectures.
• Ability to translate technical AI capabilities into customer-focused solutions, commercial value, and actionable product strategies.
• Experience leading high-performing product teams and collaborating across Engineering, Data Science, Design, Risk, Compliance, and Business functions.
• Strong strategic thinking, analytical judgement, communication, and stakeholder management skills.
• Ability to operate effectively in fast-paced, ambiguous, and highly regulated business environments.

Good-to-Have Skills

• Experience in Payments, FinTech, Financial Services, or other regulated technology environments.
• Exposure to AI platforms, LLM providers, model evaluation, LLMOps, MLOps, Retrieval-Augmented Generation (RAG), and AI-agent applications.
• Experience with Machine Learning, Intelligent Automation, and predictive analytics.
• Domain knowledge in fraud detection, risk management, and personalised customer experiences.
• Demonstrated ability to balance innovation with data privacy, information security, Responsible AI, and regulatory requirements.

What the Role Offers

• Opportunity to shape and lead an organisation-wide AI strategy with direct visibility into business and customer impact.
• Work on high-value AI use cases that improve customer trust, operational speed, experience, and efficiency.
• Build the team, operating model, and product management practices for the next phase of AI-led growth.
• Access to continuous learning opportunities, including 5,000+ courses from learning partners.
• Work in a fast-paced, innovation-driven, and inclusive environment that encourages diverse perspectives and ownership.

Key Skills

Must-Have

Product Management, Artificial Intelligence (AI), Generative AI

Good-to-Have

Machine Learning, Intelligent Automation, Fraud Detection