Global Associate Director, Customer Engagement Data Governance & Strategy

Job Description Summary

Job Description:
Sandoz continues to go through an exciting and transformative period as a global leader and pioneering provider of sustainable Biosimilar and Generic medicines. As we continue down this new and ambitious path, unique opportunities will present themselves, both professionally and personally.

Join us, the future is ours to shape!

Define and implement the Customer Engagement (CE) data strategy, CE data operating model, in alignment with CE subdomains and platform teams, to enable 360ª view of the customer and data-driven decision making.

Oversight of Customer Engagement and Commercial Data assets to provide business users with high-quality data that is easily accessible in a consistent manner.
Own CE Data Governance processes to ensure data harmonization, quality, and availability.

 

Job Description

Major accountabilities:

• Define Customer Engagement data strategy based on business use cases
• Define operating model and ensure collaboration and alignment between Customer Engagement, Business (Global – Region – Country) and technology functions
• Develop and implement data governance processes to ensure data harmonization, quality, and availability
• Develop and implement demand management process to ensure demand prioritization based on business needs and priorities
• Design and maintain a robust data catalog, organizing data assets for easy discovery, understanding, and accessibility by data users across the organization.
• Define data standards and ensure adoption across Customer Engagement domain.
• Execute the policies and standards established by the global data governance program.
• Work with Customer Engagement sub domains to ensure data from different channels is integrated in the global data hub to support and improve Omnichannel Engagement strategy through insights generation, ensuring data accuracy and completeness.
• Partner with cross-functional teams to provide insights, recommendations, and strategic direction on leveraging customer data for targeted customer engagement initiatives.
• Work with cross-functional teams to ensure relevant data sources are identified, properly integrated and available for reporting and analysis, to enable data-driven decision making.
• Collaborate closely with Global Platform & Architectural teams to develop global data platforms, define reporting and analytical layers, ensuring they are fit for purpose and support business use cases
• Help to identify ways to use data to drive enterprise objectives.
• Develop and implement data-driven customer engagement initiatives that leverage customer insights, preferences, and behaviors to drive growth and business objectives.
• Carry out change management and communication activities to ensure adoption and engagement.
• Ensure adherence to pharmaceutical industry regulations and compliance standards, working closely with the legal, compliance, security and regulatory teams.

Key performance indicators:

• Improve Business / user satisfaction around Data & Insights
• Implement efficiencies (harmonize Data & Insights platforms)
• Improved data quality and availability.
• Increase use of data to make decisions.

Minimum Requirements:
Work Experience:

• 8+ years of relevant experience in Data Strategy, Governance, Data Products, Data Architecture, Data Science and Data Value with a focus in life sciences industry

Skills:

• Strong business acumen and strategic thinking plus a solid experience with data roadmaps, blueprints, and designing programs.

• Familiarized with data architectures.

• Know commercial data in pharma: 3rd party data, Omnichannel Engagement data, activity data, sales... 

• Up to date with industry trends and best practices in the data & insights space

• Strong working knowledge of data governance frameworks, policies, and regulations, particularly in the pharma industry.

• Strong understanding of data management

• Strong understanding of data in the commercial space, specially Omnichannel platforms and CRM systems

• Excellent leadership skills with the ability to build and manage high-performing teams in a global environment

• Demonstrated ability to collaborate and influence cross-functional teams and stakeholders.

• Understanding of data privacy and security regulations

Languages :

• English.

You’ll receive:

Breakdown of benefits received in this role. Include flexible working, learning and development opportunities as well.

Why Sandoz?

Generic and Biosimilar medicines are the backbone of the global medicines industry. Sandoz, a leader in this sector, provided more than 900 million patient treatments across 100+ countries in 2024 and while we are proud of this achievement, we have an ambition to do more!

With investments in new development capabilities, production sites, new acquisitions, and partnerships, we have the opportunity to shape the future of Sandoz and help more patients gain access to low-cost, high-quality medicines, sustainably.

Our momentum is powered by an open, collaborative culture driven by our talented and ambitious colleagues, who, in return for applying their skills experience an agile and collegiate environment with impactful, flexible-hybrid careers, where diversity is welcomed and where personal growth is supported! 

Join us!

Commitment to Diversity & Inclusion (hard coded in Workday):

We are committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.

Join our Sandoz Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Sandoz and our career opportunities, join the Network here:  Sandoz Talentpool (novartis.com)

#Sandoz

 

Skills Desired

Apache Spark, Artificial Intelligence (AI), Big Data, Data Governance, Data Literacy, Data Management, Data Quality, Data Science, Data Strategy, Data Visualization, Machine Learning (Ml), Master Data Management, Python (Programming Language), R (Programming Language), Statistical Analysis