Gl Manager, Customer Engagement Data
hace 4 semanas
**Major accountabilities**:
- Implement data management strategy and processes for the Customer Engagement space
- Enable Customer 360º view, ensuring data integration across different data sources (internal and external) to allow generation of actionable insights that lead into personalization of customer experience.
- Design solutions to enable the Customer Engagement domain to consolidate CE data and make it available to generate actionable insights
- Support data model design and implementation to enable business use cases
- Foster data harmonization and use of data standards, ensuring adherence to data governance policies and standards.
- Ensure data quality, accuracy, and completeness across all customer engagement data sets.
- Work with Customer Engagement sub domains to ensure data from different channels is integrated to support and improve Omnichannel Engagement strategy through insights generation.
- 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.
- Translate business requirements into use cases to define reporting and analytical layers leveraging global data platforms.
- 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.
- Collaborate with external partners and vendors to enhance data & insights capabilities.
**Key performance indicators**:
- Improve data integration in CE
- Enable customer 360ª view
- Implement efficiencies (harmonize D&I platform, replace shadow IT platforms)
**Minimum Requirements**:
**Work Experience**:
- 5+ years’ experience working in enterprise data management
- 5+ years’ experience within the pharmaceutical industry
- Track record delivering global solutions
**Skills**:
- Deep knowledge of data analytics tools and techniques, including statistical modelling, data visualization, and predictive analytics
- Expert in data architectures
- Know commercial data in pharma: 3rd party data, Omnichannel Engagement data, activity data, sales...
- Understand and utilize data lakes and cloud data solutions to efficiently manage and analyse large data sets.
- Knowledge on data integration and data management technologies, including ETL processes, data modelling
- Experience with reporting and analytical tools: Qlik, Databricks, Alteryx, Power BI or similar
- Strong communication, collaboration, and stakeholder management skills
- Strong understanding of customer data management, Omnichannel platforms and CRM systems
- Demonstrated experience managing and leading data analytics teams in a global environment
- Experience implementing data governance policies and standards
- Up to date with industry trends and best practices in the data & insights space
**Languages**:
- English.
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