Director Data & AI Engineering

Key Deliverables in this role

Financial Outcomes

• Architect and scale enterprise-grade data, ML, and AI platforms that directly enable TCPLs business KPIs, margin expansion, and growth objectives.
• Optimize data pipelines, AI workflows, storage, and compute using advanced engineering practices to deliver high performance and cost efficiency across global operations.

Customer Service

• Partner with core business functions (Sales, Marketing, Supply Chain, Finance, HR) to design scalable, future-ready data solutions for complex and evolving business scenarios.
• Enable seamless data access and AI model deployment by collaborating closely with analytics, reporting, and AI teams to accelerate decision-making and innovation.

Internal Processes

• Translate strategic business priorities into technical architecture blueprints and engineering roadmaps, ensuring alignment with organization's digital transformation goals.
• Lead and govern internal engineering teams and external vendors to deliver secure, compliant, and high-quality data infrastructure within agreed timelines and budgets.

Innovation and Learning

• Drive adoption of next-generation technologies including cloud-native platforms, data mesh, lakehouse architecture, and Generative AI to future-proof organization's data ecosystem.
• Lead architectural workshops and vendor engagements to co-create a modern, scalable, and resilient data platform that supports advanced analytics and AI capabilities.

Critical success factors for the Role

• Educational Foundation: Bachelors or Masters degree in Computer Science, Data Science, or related discipline from a Tier 1/2 institute, ensuring strong technical and analytical grounding.
• Cloud & Modern Data Expertise: Deep experience in designing and implementing cloud-native data architectures across AWS, Azure, and GCP, leveraging modern data platforms (Data Lakes, ingestion frameworks, Spark, Kafka) to enable scalability and agility.
• Data & AI Architecture Leadership: Proven ability to conceptualize and deliver next-generation data engineering strategies aligned with organization's digital transformation and growth objectives.
• Execution Excellence: Demonstrated success in leading large-scale data engineering programs across global operations, ensuring reliability, compliance, and performance.
• Business Partnering: Ability to engage senior stakeholders across Sales, Marketing, Supply Chain, and Finance to co-create data-driven solutions that unlock operational efficiencies and top-line growth.
• Stakeholder Influence: Exceptional communication and collaboration skills to translate complex technical concepts into actionable business strategies and drive alignment across cross-functional teams.
• Innovation Mindset: Strong orientation toward emerging technologies such as Data Mesh, Generative AI, and real-time analytics to future-proof TCPLs data ecosystem.
• Governance & Compliance: Familiarity with global data privacy and compliance frameworks (DPDP, GDPR, CCPA) and ability to embed governance into engineering practices.
• Cultural Fit: Demonstrates TCPLs growth behaviorsConsumer First, Ownership, Agility, Integrity, and Continuous Innovationwhile fostering a high-performance engineering culture.

Desirable success factors for the Role

• Experience in FMCG or consumer products industry is big plus.
• Familiarity with data governance and compliance frameworks.