• Leads enterprise data operations and platform support functions • Oversees operational support and administration of ICW Group’s enterprise data platform • Manages operational activities related to data ingestion, transformation orchestration, monitoring, reconciliation, issue resolution and production support • Establishes operational processes, standards, runbooks, SLAs and support procedures for enterprise data services and platforms • Ensures high availability, reliability, scalability and performance optimization of enterprise data platforms and pipelines • Leads production support activities, root cause analysis, incident management, escalation management and problem resolution for data-related issues • Oversees operational readiness and transition-to-support activities for new data products, integrations and platform enhancements • Partners with Data Engineering teams to ensure production deployments follow operational best practices and governance standards

• Develop and validate predictive and machine-learning models for specific business needs • Use traditional statistical methods and machine learning to develop, monitor, maintain, and implement models for various business applications • Assess and challenge data preparation practices and engage with data stewards to ensure data quality • Identify and articulate observations based on structured assessments of analytical outcomes • Review deliverables and proactively coach others on approach and work product

• Analyze large volumes of customer, CRM, media, healthcare, and behavioral data to identify patterns and business drivers. • Develop measurement frameworks for pharmaceutical and healthcare marketing initiatives. • Build segmentation models, behavioral analyses, audience scoring models, attribution methodologies, and predictive analytics solutions. • Leverage Python, SQL, AI tools, and workflow automation to accelerate analytics delivery. • Translate complex analytical findings into business language and prepare executive-ready presentations. • Mentor junior analysts and promote a culture of curiosity, learning, and continuous improvement. • Act as a trusted analytics partner for Strategy, Media, and Client Services teams.

• Design, develop, validate, and improve data science models and products. • Participate in stakeholder planning sessions to gather context on ambiguous business challenges, and recommend data science modeling approaches that can drive business impact • Define customer and business value metrics, evaluation approaches, and validation criteria for models and products, including in situations with imperfect or incomplete data • Use SQL to transform complex data and build scalable datasets for modeling and analysis • Work with the machine learning engineering team to develop, validate, and deploy machine learning and AI products • Collaborate with product owners and other stakeholders to shape new data product ideas or enhancements • Develop technical design and architecture documentation for data science and AI products • Help drive technical direction, working alongside engineering and product owners to navigate tradeoffs and execution decisions • Manage priorities across multiple projects, including helping shape tradeoffs and cross-functional team priorities • Become an expert in Autodesk data - recommend approaches to make reusable features and data products that can be leveraged to ensure data science products are built on trusted, stable and scalable foundations. • Communicate analyses, model performance, methodology, and recommendations clearly to technical and non-technical audiences.