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Associate Director, Content Process Effectiveness

Novartis
Full-time
On-site
East Hanover, NJ
$132,300 - $245,700 USD yearly
Operations

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Role Summary

Associate Director, Content Process Effectiveness. Responsible for optimizing the content supply chain and leading operational reporting platforms to support US business, defining and reporting OKRs and KPIs, managing a growing team, and collaborating cross-functionally to democratize data access. Measures process effectiveness, translates findings into actionable insights, and enhances content processes through new and AI technologies while maintaining compliance and governance. Based in East Hanover, NJ with 10-20% travel; remote work not available.

Responsibilities

  • Lead the design and implementation of taxonomy and process strategies that enable self-service analytics and democratized access to content supply chain operations KPIs across the MPPOE organization.
  • Define, track, and report on KPIs and success metrics to measure the impact of process improvements and operational effectiveness.
  • Manage and integrate multiple platforms, including Power BI, to support business needs and ensure quality, scalability, and usability.
  • Translate complex business requirements into technical solutions and vice versa, ensuring alignment between stakeholders across Commercial, Medical, Compliance, IT, MarTech, and other functions.
  • Functionally oversee a small, globally distributed team of direct reports, including Managers and Associate Managers, with potential for future growth.
  • Ensure adherence to content operations KPI governance and data quality frameworks, promoting best practices in measurement stewardship and compliance.
  • Communicate key reporting and measurement concepts in clear, accessible language to stakeholders at all levels.
  • Support and guide the team in reporting on and understanding the MLR (Medical, Legal, Regulatory) approval process, with a focus on systems such as Aprimo and Veeva Vault PromoMats.
  • Stay current with emerging technologies and tools in content operations, reporting, and process optimization, recommending innovations where appropriate.
  • Partner with IT and other enabling functions to ensure seamless integration of data tools and platforms.

Qualifications

  • Education: Bachelor's degree in Data Science, Computer Science, Business Analytics, or related field; Master’s degree preferred.
  • 8+ years of experience in data analytics, business intelligence, or process effectiveness roles, preferably in the pharmaceutical industry or other highly regulated industry.
  • At least 3 years managing an international team with experience collaborating across time zones and developing direct reports.
  • Proven experience managing Power BI environments and other enterprise data platforms (e.g., Snowflake, AWS, DataIku, DataBricks). Power BI PI-300 certified; hands-on knowledge of Python, SQL, DAX, WDL, Power Fx, and Power Automate.
  • Established background of defining and tracking OKRs and KPIs to measure operational effectiveness.
  • Experience with content operations KPI governance, data quality frameworks, and technical implementation or integration of systems and solutions.
  • Familiarity with MLR systems and processes (e.g., Aprimo and Veeva Vault PromoMats) and understanding of AI technologies and their application in content operations.
  • Strong project management and cross-functional stakeholder engagement capabilities with the ability to lead or influence teams to achieve goals.
  • Excellent communication and storytelling skills, translating data into actionable insights.
  • Strategic thinking with analytical mindset and commitment to process excellence/continuous improvement to meet internal and external customer needs.

Skills

  • Power BI and enterprise data platforms
  • Data analytics, BI reporting, KPI governance
  • SQL, Python, DAX, AI applications in content operations
  • Stakeholder management and cross-functional collaboration
  • Project management and team leadership

Education

  • Bachelor’s degree in Data Science, Computer Science, Business Analytics, or related field
  • Master’s degree preferred

Additional Requirements

  • 10-20% travel as defined by the business (domestic and/or international)
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