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CDE & AI Integration Technical SME

CDE & AI Integration Technical SME

Diageo

8 - 13 years

15 - 20 Lacs

bengaluru

Posted:2 weeks ago| Platform:

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Skills Required

ai azure data engineering ai integration compliance architecture use cases github subject matter expert machine learning devops ccpa marketing data integration risk mitigation gcp data governance data privacy gdpr crm salesforce

Work Mode

Work from Office

Job Type

Full Time

Job Description

Purpose of Role

To act as the technical subject matter expert on CDE-AI integration, enabling the deployment of intelligent data products and machine learning models across marketing and commerce. The role drives the configuration, automation, and governance of AI-enabled features within the CDE to deliver business outcomes in consumer targeting, media effectiveness, and personalization.

Key Responsibilities

1. CDE-AI Integration Architecture
- Translate AI use cases into scalable and compliant data integration solutions across CDP, CRM, and media activation platforms. - Work with data scientists and engineers to operationalize AI/ML models within the CDE (e.g., for segmentation, targeting, recommendation).

- Work with Solution and Enterprise Architects to ensure AI solutions are scalable, cloud-native, and cost-efficient.
- Design and support APIs, pipelines, and orchestration logic to deploy and monitor AI-powered data flows.

2. Model Implementation and Testing
- Lead the technical deployment of machine learning models from development to production. - Ensure accuracy, scalability, and performance of deployed AI models. - Define and execute integration test plans to validate AI functionality within data ecosystems.

3. Compliance, Governance, and AI Risk Mitigation
- Ensure all AI integrations comply with Diageos Responsible AI principles and global data privacy regulations (e.g., GDPR, CCPA). - Implement auditable model monitoring, drift detection, and ethical risk checks in line with Responsible Marketing & AI frameworks.

4. Deployment & Support
- Provide hands-on support to markets during AI capability rollouts, including hypercare, troubleshooting, and platform enhancements.

- Implement CI/CD practices for ML Ops using tools such as MLflow, Azure DevOps, or GitHub Actions.
- Monitor AI solution performance in-market and work with global teams to identify improvement opportunities.

5. Collaboration and Enablement
- Act as technical liaison between AI product teams, CDE engineers, and Martech architects. - Support documentation, enablement materials, and workshops to build AI literacy within CDT and market teams.

Qualifications & Experience Required

Bachelors or Masters degree in Computer Science, Data Engineering, AI, or a related field.
8+ years in data engineering, AI/ML engineering, or martech systems integration roles.
Proven experience operationalizing machine learning models in cloud-based data environments (e.g., GCP, Azure).
Strong grasp of CDPs, CRM systems (Salesforce), and marketing data platforms.
Working knowledge of data governance, AI ethics, and compliance frameworks.

Success in Role

Scalable integration of AI models into CDE platform capabilities with minimal latency and high reliability.
Acceleration of intelligent marketing activation and media optimization use cases.
Enhanced model performance through governed data operations.
Clear documentation and enablement for AI-CDE technical integrations.
Alignment with Responsible AI and data privacy standards.

Flexible Working Statement:

Flexibility is key to our success. Talk to us about what flexibility means to you so that youre supported to manage your wellbeing and balance your priorities from day one.

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CDE & AI Integration Technical SME