Manager, Data Enablement (MCI)

Responsibilities

• Own the product strategy, roadmap, and delivery of MCI (Datorama) data products and BI solutions for key pharmaceutical clients, balancing long-term platform evolution with day-to-day execution.
• Define and continuously improve data governance, taxonomy and classification standards, and data harmonization best practices; drive quality, consistency, and scalability across data architecture, ETL processes, reporting logic, and operational workflows.
• Identify and champion opportunities to simplify, automate, or eliminate manual processes; partner with engineering and business leaders to leverage AI, intelligent automation, and agentic solutions that improve operational efficiency and user experience.
• Lead the ongoing development of scalable data products, reporting solutions, and automation workflows; evaluate emerging technologies and recommend solutions that modernize the team’s capabilities.
• Lead cross-functional planning and prioritization, serving as the primary liaison between internal stakeholders and Data Enablement and Engineering teams - proactively identifying risks, removing blockers, and driving alignment across teams and leadership.
• Lead and mentor analysts by providing technical guidance, establishing best practices, and fostering a culture of ownership, collaboration, and continuous improvement.

Qualifications

• 2+ years of hands-on experience with MCI (Datorama), with demonstrated ownership of complex reporting solutions, data models, or enterprise implementations.
• Advanced SQL and Python skills with demonstrated experience building scalable data solutions, automation, and AI-enabled capabilities. Databricks and/or Snowflake strongly preferred.
• Strong understanding of media taxonomy, metadata management, classification strategies, and data harmonization best practices.
• Experience designing or leveraging AI-powered solutions, LLMs, intelligent automation, or agentic workflows to improve business or technical operations.
• Demonstrated leadership driving complex cross-functional initiatives and aligning technical and business stakeholders around shared objectives; strong coaching and mentorship skills.
• Strong communication and stakeholder management skills, with experience presenting technical concepts to both technical and non-technical audiences.
• Systems-thinking mindset with exceptional attention to detail, strong organizational and prioritization skills, and a passion for building scalable, high-quality data products.