Director, Data Discovery Services

Working with Us
Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.

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Position Summary

The Director, Data Discovery Services is a strategic leadership role within the Enterprise Data Platforms team focused on leading the development, implementation, and ongoing enhancement of data marketplace and data discovery, including ontology management, semantic modeling, and enterprise search, capabilities across the organization.  Collaborating closely with business stakeholders, you will leverage cutting-edge concepts and technologies to ensure that Data Discovery Services enable rapid, reliable, and seamless findability and accessibility to high-quality data.

Key Responsibilities:

• Oversee the implementation, optimization, and continuous evolution of Data Marketplace & Discovery Services, offering centralized systems for discovery, reuse, and access to data and data products.

• Design and implement advanced features within the data marketplace capability such as instant data access decisioning, data access policy management, and monitoring agents to enhance user experience.

• Implement proactive, transparent, and reliable data access practices by monitoring and reporting on data usage and discoverability. Define and track KPIs related to data discovery and provide regular updates to executive leadership.

• Establish and maintain standards for data cataloging, metadata management and discoverability.

• Implement and continuously enhance semantic capabilities promoting the efficient creation, utilization, and maintenance of data.

• Collaborate with cross-functional stakeholders, including teams across data science, data engineering, and business functions to understand their goals, objectives, and requirements to translate them into effective data discovery solutions/capabilities.

• Collaborate with data owners, stewards, and consumers to ensure data discovery tools are intuitive and meet evolving business needs.

• Assess and manage relationships with external vendors and evaluate tools to ensure optimal performance and cost-effectiveness.

• Ensure that solutions are scalable, reliable, and maintainable while adhering to applicable policies and procedures.

• Contribute to the overall Enterprise Data Platforms vision by accelerating data management innovations and supporting federated models of data ownership across the enterprise.

Qualifications & Experience:
 

Required:

• 10+ years of experience in data management, data governance, data science, and/or an information technology related field delivering and supporting data solutions/capabilities with at least 5 years in a leadership role managing a complex data environment.

• Demonstrated expertise in data discovery, data cataloging, and marketplace platforms within large, complex organizations.

• Exceptional knowledge of implementing or managing metadata management and semantic layer solutions.

• Deep understanding of data lifecycle, enterprise data architecture, and open-source or composable framework concepts.

• Exceptional strategic thinking, analytical, and problem-solving skills, with the ability to analyze complex business requirements and translate them into robust solutions.

• Strong leadership qualities, including the ability to influence and drive change in a dynamic and fast-paced environment.

• Demonstrated success in designing, delivering, and supporting integrated solutions using disparate technologies.

• Excellent project management and organizational skills.

• Excellent communication, leadership, and interpersonal skills.

Ideal Candidates Would Al