Vice President, Data Operations and Integrations

Who we are

We’re a global, midsize CRO that pushes boundaries, innovates and invents because the path to a cure for the world’s most persistent diseases is not paved by those who play it safe. It is built by those who take pioneering, creative approaches and implement them with quality and excellence.

We are Worldwide Clinical Trials, and we are a global team of over 3,500+ experts, bright thinkers, dreamers and doers and, together, we are changing the way the world experiences CROs – in the best possible way.

Our mission is to work with passion and purpose every day to improve lives and we are looking for others who value this same pursuit.

Why Worldwide

We believe everyone plays an important role in making a world of difference for patients and their caregivers. From our hands-on, accessible leaders, to our cohesive and supportive teams, we are committed to enabling professionals from all backgrounds and experiences to succeed. We prioritize cultivating a diverse and inclusive environment that continues to promote collaboration and creativity. We are proud to be a workplace where people thrive by being themselves and are inspired to do their best work every day. Join us!

SUMMARY:  The Vice President, Data Operations and Integrations will be responsible for creating and executing an enterprise-wide data strategy, encompassing all aspects of data management, including data mastering, data cleansing, data cataloging, and data architecture. This role will also oversee the development and operation of the enterprise data lake and standardize the integrations approach within the organization, transitioning from a complex mesh of point-to-point integrations to a hub-and-spoke model. This role is responsible for ensuring the security of enterprise data and compliance with data privacy and security standards. The role will design data infrastructure to support AI and advanced analytics use cases.

RESPONSIBILITIES:
Tasks may include but are not limited to:

Enterprise Data Strategy

• Define and implement a comprehensive data governance framework.

• Oversee data mastering, cleansing, cataloging, and architecture.

• Lead the development and operation of an enterprise data lake.

Integration Modernization

• Replace point-to-point integrations with a hub-and-spoke model.

• Standardize integration protocols across clinical, operational, and corporate systems.

• Collaborate with IT and business units to ensure scalable and secure data flows.

Data Security and Compliance

• Implement and maintain robust data security measures to protect enterprise data.

• Ensure compliance with data privacy regulations (e.g., GDPR, HIPAA) and security standards (e.g., ISO 27001).

• Conduct regular security audits and risk assessments to identify and mitigate vulnerabilities.

AI and Advanced Analytics Infrastructure

• Design and implement data infrastructure to support AI and advanced analytics use cases.

• Collaborate with data scientists and analysts to ensure data availability and quality for machine learning models and analytics.

• Integrate AI and machine learning capabilities into the data platform to drive insights and innovation.

Technology and Team Leadership

• Select and implement modern data and integration platforms.

• Build and lead a cross-functional team of data engineers, architects, and integration specialists.

• Partner with stakeholders across Clinical, Corporate, and Commercial teams.

Perform other duties as assigned.  The duties and responsibilities listed above are representative of the nature and level of work assigned and are not necessarily all-inclusive.                             

OTHER SKILLS AND ABILITIES:

• Experience with cloud-based data platforms and integration tools, such as AWS, Azure, Google Cloud, Snowflake, Informatica, or similar.

• Proficiency in modern programming languages and tools used in data engineering and analytics (e.g., Python, R, SQL, Spark).

• Knowledge of machine learning, predictive modeling, and advanced analytics frameworks.
  Certification in data management, cloud architecture, or a related field (e.g., CDMP, AWS Certified Solutions Architect, or equivalent) is a plus.

• Strong problem-solving, analytical, and critical-thinking skills with a focus on delivering practical and scalable solutions.

• Strategic thinker with a visionary mindset and the ability to translate complex data challenges into actionable opportunities.

• Strong organizational and project management skills, with a tr