Senior Lead, Data & Analytics

Major Accountabilities (Describe the 5-7 main results of this role to be achieved)

• Developing and implementing a comprehensive data strategy that leverages data assets to create business value, enhance patient and HCP experience, and advance the company's competitive position.
• Collaborating with business leaders and franchises to identify and deliver new data-driven opportunities that generate growth, improve efficiency, and enhance the patient and HCP experience.
• Driving the creation of a data-driven culture that leverages data and analytics to support decision-making and drive business impact.
• Defining the enterprise data management strategy based on the Data Strategy combined with local business and DD&IT objectives such as MAXIM retirement.
• Activating mechanisms to ensure data is managed as a strategic asset within the organization and ensuring the quality of critical data in all systems/environments such as IM DnA Hub
• Developing several new data products such as DRO, C360, IM BEST, and IDS
• Maintaining and updating the Data and AI Governance framework, policies, and procedures for data and information governance.
• Delivering data and AI-related initiatives in accordance with industry regulations, including data privacy and security requirements.
• Developing and implementing a data and AI literacy program that equips employees with the skills and knowledge needed to use data effectively.
• Team building and management.

Key Performance Indicators (Indicate how performance for this role will be measured)

The following items to achieve ICE:

• Analytics projects resulting in better decision making or tangible actions
• Extent to which new data platforms (i.e. IM DnA) and data products such as DRO, C360, IM BEST, and IDS are utilized
• Literacy improvement as well as culture to make fact & data-driven decision making
• Customer satisfaction rating / feedback by internal stakeholders (Business Franchise Head, relevant management members, and DD&IT members)

Job Dimensions (Indicate key facts and figures)

Number of associates:

TBD

Financial responsibility:

(Budget, Cost, Sales, etc.)

Approx. 200 million budget for all data & analytics initiatives in the commercial domain (2024)

Impact on the organisation:                              

• Further strengthen the data and AI backbone that underpins ICE, accelerating its implementation and effectiveness.
• Deliver actionable insights generated in collaboration with business franchises, driving informed decision-making and strategic actions.
• Streamline data processes and analytics operations to reduce costs and improve the efficiency of patient care delivery, leading to better resource allocation.

Background (State the required education, experience level, and competency profile)

Education:

• Bachelor’s degree and above in Analytics, Information Systems Management, Computer Science or related fields, and a master's degree is preferred.

Experience/Professional requirement:          

• Strong leadership skills and the ability to lead cross-functional teams.
• Excellent communication and interpersonal skills, with the ability to articulate complex data concepts to a non-technical audience in both English and Japanese.
• Proven track record of successfully leading data and AI-related initiatives and delivering results, with a focus on developing and executing data strategies.
• Strong analytical and problem-solving skills, with the ability to apply data-driven insights to business challenges.
• Expertise in analytics tools such as Python, SQL, Hadoop, and similar technologies.
• Experience with modelling, including building and validating models to derive insights from data.
• Deep understanding of data management technologies, such as data warehouses, data lakes, and data integration tools (e.g., Informatica), used for extracting, transforming, and loading (ETL) data from various sources.
• Proficiency in analytics platforms (e.g., PowerBI) and familiarity with Data Platform stacks (e.g., AWS and Azure).
• Knowledge of AI-related technologies such as large language models, generative AI, and voice-to-text.
• The Senior Lead of Data & Analytics should be able to work closely with DD&IT teams to implement and maintain these technologies, and lead efforts to drive innovation and create value.
• Knowledge of data privacy and security regulations.

English Skill:

• Business level is required