Director, Data AI Analytics

Position Title: Director Data AI Analytics

Position Type: Regular - Full-Time

Requisition ID:41129

OVERVIEW

McCain is on an exciting digital transformation journey. As part of this evolution were making bold investments in our data systems infrastructure and digital capabilities. Were building next-generation digital products for our customers suppliers and employeesenabling intelligent automation and data-driven decision-making at scale. Our Technology team is at the heart of this effort driving innovation to fuel business growth.

If youre looking to help shape the future of a global organization and play a pivotal role in redefining how data and AI deliver impactthis is your opportunity. Join us as we continue building McCains digital foundation and unlock new business value through cutting-edge data AI and analytics solutions.

JOB PURPOSE

We are hiring a Director of Advanced Data & Analytics to lead the development and execution of McCains global data and AI this role youll partner with senior business and technology stakeholders across regions to design and deliver advanced analytics and AI products within a global CPG environment.

Youll lead a large-scale engineering team (up to 50 people) and be responsible for building scalable software solutions using SAFe methodologies. Your team will leverage automation Agentic AI and best-in-class platforms like Databricks to drive outcomes including increased productivity reduced waste improved uptime and optimized resource consumption.

This is a high-impact leadership role ideal for someone who thrives at the intersection of data science product engineering and global business transformation.

KEY RESPONSIBILITIES

Strategic Leadership
Develop and execute the global data and AI engineering roadmap aligned to McCains digital and business strategy.

Team Management
Lead and grow a global team of engineers and contractors (up to 50) fostering a culture of innovation agility and delivery excellence.

Technical Delivery
Oversee the development of AI-driven data products using real-time data (including IoT) AI models and analytics platforms to improve performance and efficiency.
Ensure seamless integration of in-house and third-party software with enterprise-grade data infrastructure enabling robust and secure data pipelines.

Agentic AI & Automation
Champion the adoption of Agentic AI intelligent agents and automation to streamline processes and drive scalable business impact.

Product Delivery
Deliver high-quality agile software releases using SAFe frameworks with continuous improvement in product engineering practices.

Cross-Functional Collaboration
Work closely with global and regional business leaders and technology partners to define use cases prioritize initiatives and ensure successful delivery of AI and analytics programs.

Data Governance & Security
Partner with data governance and security teams to maintain compliance and high-quality standards across all platforms.

Emerging Technologies
Stay ahead of the curve on new technologies in AI ML data engineering and cloud platformsand integrate them where they can create value.

KEY QUALIFICATIONS & EXPERIENCE

Bachelors degree in engineering computer science data science or a related field; Masters or PhD preferred.
15 years of experience in data engineering AI/ML and analytics with a track record of delivering transformation in CPG FMCG or industrial sectors.
7 years leading and scaling technical teams including people leadership coaching and performance management.
Proven experience delivering digital products in a SAFe Agile environment.
Strong business acumen and stakeholder engagement skillsable to translate technical solutions into measurable business value.
Experience working in a complex global matrix organization.

TECHNICAL EXPERTISE:

Databricks (ML pipelines Delta Lake Unity Catalog)
Azure Data Services (Data Factory Data Lake Synapse)
Azure AI Foundry (model dev deployment monitoring)
Agentic AI platforms automation and workflow orchestration
Event-driven and microservices architectures
Generative AI LLMs and NLP techniques

PREFERRED EXPERIENCE:

IoT and edge computing
MLOps statistical modeling and predictive analytics
Data governance and compliance in a global enterprise
CI/CD cloud-native DevOps infrastructure-as-code
Smart factory concepts and process automation
Geospatial data (Google Earth Engine satellite imagery remote sensing)

Certifications in Azure Databricks or SAFe Agile are a strong asset.

Ready to build the future of data and AI at McCain
Apply now and bring your vision to life in a company thats growing transforming and leading with purpose.

McCain Foods is an equal opportunity employer. As a global family-owned company we strive to be the employer of choice in the diverse communities around the world in which we live and work. We recognize that inclusion drives our creativity resilience and success and makes our business qualified applicants will receive consideration for employment without regard to race religion color national origin sex age veteran status disability or any other protected characteristic under applicable law.

McCain is an accessible employer. If you require an accommodation throughout the recruitment process (including alternate formats of materials or accessible meeting rooms) please let us knowand we will work with you to find appropriate solutions.

Your privacy is important to us. By submitting personal data or information to us you agree this will be handled in accordance with McCains Global Privacy Policyand Global Employee Privacy Policy as applicable. McCain leverages AI in the hiring process though all final decisions are made by humans. You can understand our approach to AI and how your personal information isbeing handled here.

Job Family:Information Technology
Division:Global Digital Technology
Department:Global Data AI Analytics
Location(s): IN - India : Haryana : Gurgaon

Company:McCain Foods(India) P Ltd