Director of Visual Analytics leading data visualization initiatives for Johnson & Johnson Innovative Medicine. Owning strategic vision, mentoring teams, and driving data-driven decision-making.
Responsibilities
Own the strategic vision and execution of data visualization initiatives across Johnson & Johnson Innovative Medicine R&D Data Science & Digital Health (DSDH)
Coordinate visual analytics and design across multiple products / workstreams
Guide a team dedicated to translating complex data into accessible, insightful, and engaging visual products
Champion a data-driven culture and elevate how insights inform decision-making at all levels of the organization
Design and execute on a roadmap for data visualization within the R&D space
Lead, mentor, and enable members of the team, promoting best practices and technical perfection
Partner with senior leadership, data science, and business units to understand sophisticated needs and translate them into scalable visualization solutions
Establish and maintain standards for UX/UI design and data storytelling to ensure consistency, quality, and usability
Lead all aspects of prioritization and delivery of multiple projects, balancing pivotal initiatives with operational needs
Stay informed of emerging visualization technologies and the intersection of visualization and AI
Requirements
Bachelor's degree in BI, IT, Computer Science, or related field; advanced degree preferred
10+ years of experience in analytics, data visualization, or related fields
8+ years of experience with an advanced degree
Experience developing teams of visualization experts and/or data scientists
Understanding and experience in graph modeling and taxonomy
Experience in biomedical visualization (e.g. pathways)
Extensive hands-on experience with Tableau, Power BI, or similar tools
Experience working in both Python and R
Good understanding of database structures and query languages including SQL, SPARQL and/or Cypher required
Experience with visualization frameworks such as Neo4j Bloom, Gephi, Cytoscape, Graphistry and D3 preferred
Demonstrated success in strategic planning, partner management, and project delivery
Superb communication, interpersonal, and change-management skills
Knowledge of UX/UI principles, experience with GenAI and experience with HTML, CSS is a plus
Industry experience in pharmaceuticals or healthcare analytics is preferred.
Benefits
medical
dental
vision
life insurance
short- and long-term disability
business accident insurance
group legal insurance
retirement plan (pension)
savings plan (401(k))
long-term incentive program
Vacation –120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year
Holiday pay, including Floating Holidays –13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member
Data Scientist at PulseRise Technologies driving data - informed decisions in crypto payments infrastructure. Collaborating with product leaders and CFO for insights on user journeys and transaction flows.
Senior Data Scientist at Navy Federal Credit Union providing data science and advanced analytics insights for decision - making. Collaborating with business units to optimize products and strategies.
Senior Data Scientist driving analytics and machine learning for b_labs at B.TECH. Collaborating with teams to innovate and support the company's goal of becoming a leading omni - channel platform in Egypt.
Data Scientist at SPG Resourcing analyzing data and shaping strategic direction. Collaborating across teams and developing data strategies to enhance products and services.
Junior Data Scientist supporting analytical projects to facilitate decision - making for companies in Brazil. Involves data preparation, cleaning, and preliminary analysis for effective insights generation.
Senior Data Scientist at Keyrus focused on advanced analytics and machine learning. Responsibility includes data structuring, analysis, and predictive modeling in a hybrid work setting.
Data Scientist in Klee Group's Data & AI team developing innovative AI solutions. Collaborating with clients and teams in a hybrid work environment with autonomy and support.
Data Manager role at DEDIENNE AEROSPACE focusing on Data Lake management and data governance. Involves collaboration with internal and external stakeholders for data quality and analytics.
Applied Data Scientist focused on operational analytics at Rowan Digital Infrastructure. Developing models and metrics to enhance reliability and decision making for data center solutions.
Data Scientist role at Nakupuna Solutions delivering end - to - end analytic solutions using Palantir Foundry for complex data challenges in strategic decision - making.