Director Data & AI Engineering

Location: Bengaluru

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.