Manager - AI & BI

Since 2015, iSOCRATES has been the Global Leader in MADTECH Resource Planning and Execution(TM), providing advisory services, building and managing mission-critical Marketing, Advertising, and Data technologies. Our team delivers Strategy and Operations Consulting as well as Managed Services for marketers, agencies, publishers, and data/tech providers globally. With a dedicated team of specialists available 24/7/365, we focus on saving partners money and time while ensuring transparent, accountable performance and delivering exceptional value through our low-cost global delivery model and continuous investment in technology and training.

About MADTECH.AI:

MADTECH.AI is the Marketing Decision Intelligence platform that offers a centralized, AI-powered hub for unifying, transforming, analyzing, and visualizing all data cost-effectively. By leveraging MADTECH.AI, users can accelerate decision-making processes, gain sharper insights, and make smarter choices, leaving tasks such as data wrangling, model building, visualization, and proactive problem-solving to the platform.

Key Responsibilities:

Team Leadership & Strategy:

• Lead and mentor a team of BI analysts, AI specialists, and data engineers to cultivate a data-driven culture within iSOCRATES.
• Drive the BI strategy to align with business goals and key performance indicators (KPIs), collaborating with senior leadership to explore opportunities for advanced analytics, data-driven decision-making, predictive modeling, and AI-driven automation.
• Take ownership of end-to-end delivery of BI and AI initiatives to ensure scalability, data integrity, efficiency, and innovation.

Data Management, AI Integration & Insights:

• Supervise data governance, collection, storage, and integration processes to maintain data accuracy, consistency, and security.
• Collaborate with various teams to manage data pipelines, cloud infrastructure, ETL processes, API integrations, and model deployment frameworks.
• Implement AI-enhanced reporting and visualization solutions both internally and for clients, utilizing machine learning models for anomaly detection, forecasting, segmentation, and personalization.
• Lead data quality initiatives to enhance data readiness for AI/BI use cases continuously.

Technical Leadership & Innovation:

• Design and deploy scalable and automated BI/AI solutions using modern toolsets and cloud technologies.
• Utilize expertise in SQL, Python, Data Warehousing, machine learning, ETL, and Cloud (AWS/Azure/GCP) to enhance BI/AI infrastructure.
• Create interactive dashboards and AI-driven visual analytics using tools like Power BI, Tableau, Sisense, Superset, or Excel.
• Evaluate emerging AI/BI technologies and frameworks to optimize system performance, automation, and user insights.

Stakeholder Collaboration & Communication:

• Engage with internal and external stakeholders to gather BI and AI requirements and prioritize projects.
• Translate business objectives into technical solutions, data models, AI use cases, and BI solutions aligned with strategic goals, delivering actionable insights.
• Provide thought leadership on data trends and best practices, advocating for data-driven decision-making.
• Present insights and recommendations to senior executives on industry trends, best practices, and the evolving role of AI in business intelligence.

Required Qualifications:

• 10+ years of experience in Business Intelligence, Data Analytics, or Data Science.
• 3+ years of experience in team leadership and project management in BI and/or AI-focused environments.
• Proficiency in SQL, Python, ETL processes, data warehousing, BI platforms (e.g., Power BI, Tableau, Sisense), and ML/AI frameworks (e.g., scikit-learn, TensorFlow).
• Experience with Cloud platforms (AWS) and data modeling for large-scale data handling and reporting automation.
• Strong problem-solving skills, business acumen, and ability to thrive in a fast-paced environment.
• Excellent communication, stakeholder management, and presentation skills.

Preferred Qualifications:

• Masters Degree in Business Administration, Computer Science, or Data Analytics.
• Experience in AdTech, MarTech, or Digital Marketing Analytics.

- Exposure to AI/ML-driven BI solutions.,