Lead Solutions Architect

• Identify and assess opportunities to apply AI/ML and automation across media operations workflows (e.g., intelligent campaign setup, anomaly detection in QA, dynamic taxonomy validation).
• Design scalable, intelligent architectures using a combination of machine learning models, RPA, Python-based automation, and media APIs (e.g., Meta, DV360, YouTube).
• Develop or integrate machine learning models for use cases such as performance prediction, media mix modeling, and anomaly detection in reporting or billing.
• Ensure adherence to best practices in data governance, compliance, and security, particularly around AI system usage.
• Partner with business stakeholders to prioritize high-impact AI/automation use cases and define clear ROI and success metrics.
• Stay informed on emerging trends in AI/ML and translate innovations into actionable media solutions.

• 7+ years of experience in automation, AI/ML, or data science, including 3+ years in marketing, ad tech, or digital media.
• Strong understanding of machine learning frameworks for predictive modeling, anomaly detection, and NLP-based insight generation.
• Proficiency in Python and libraries such as scikit-learn, TensorFlow, pandas, or PyTorch.
• Experience with cloud-based AI platforms (e.g., Google Vertex AI, Azure ML, AWS Sagemaker) and media API integrations.
• Ability to architect AI-enhanced automations that improve forecasting, QA, and decision-making in media operations.
• Familiarity with RPA tools (e.g., UiPath, Automation Anywhere); AI-first automation experience is a plus.
• Demonstrated success in developing or deploying ML models for campaign optimization, fraud detection, or process intelligence.
• Familiarity with digital media ecosystems such as Google Ads, Meta, TikTok, DSPs, and ad servers.
• Excellent communication and stakeholder management skills, with the ability to translate technical solutions into business value.

dentsu