Director of Data & AI Engineering

Key Deliverables in this role

Financial Outcomes Architect and scale enterprise-grade data, ML, and AI platforms

that directly enable TCPL’s 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:

Bachelor’s or Master’s 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 TCPL’s 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 TCPL’s growth behaviors—Consumer First, Ownership, Agility, Integrity, and Continuous Innovation—while 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.