IT&D Director leading large - scale, complex infrastructure transformation initiatives at Reckitt. Responsible for strategic oversight and cross - functional alignment to deliver resilient and scalable infrastructure platforms.
About the role
- Director of Data Solutions overseeing data strategy and solutions at Endpoint, a life sciences company. Collaborating with cross-functional teams to ensure data integrity and accessibility.
Responsibilities
- Develop and execute the data strategy in alignment with the organization's goals.
- Lead the design, development, and deployment of data solutions and architectures.
- Oversee data governance and ensure compliance with relevant regulations and standards.
- Collaborate with business leaders to identify data needs and opportunities for leveraging data to drive business outcomes.
- Manage and mentor a team of data professionals, providing guidance and support for their professional development.
- Ensure the integrity, security, and accessibility of data across the organization.
- Stay current with industry trends and emerging technologies to drive innovation in data solutions.
- Develop and maintain data policies and procedures to ensure data quality and consistency.
- Work with IT and other departments to integrate data solutions with existing systems and processes.
- Monitor and analyze data performance and usage to identify areas for improvement and optimization.
- Provide regular reports and updates to senior management on data initiatives and progress.
Requirements
- Minimum 10 years of experience designing, building or implementing data-based solutions for the Life Sciences industry
- At least 3 years of experience in life sciences industry
- Experience with cloud-based data solutions (e.g., AWS, Azure, Google Cloud).
- Knowledge of machine learning and artificial intelligence applications in data solutions.
- Familiarity with data visualization tools (e.g., Tableau, Power BI).
- Certification in data management or related fields and technologies in data solutions, such as AI and machine learning.
- Proven experience in a leadership role within data solutions, data management, or data architecture.
- Strong understanding of data governance, data security, and regulatory compliance.
- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
- Experience with data warehousing, data lakes, and big data technologies.
- Proficiency in data modeling, ETL processes, and data integration.
- Strong analytical and problem-solving skills.
- Ability to manage multiple projects and priorities in a fast-paced environment.
- Experience with data visualization tools (e.g., Tableau, Power BI) and data analytics platforms.
- Knowledge of machine learning and artificial intelligence applications in data solutions.
- Certification in data management or related fields is a plus.
- This role will require occasional travel to various office locations around the world.
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