Data is a core strategic asset for Johnson & Johnson Global Services, driving strategic initiatives and fueling the Global Services Digital Transformation roadmap. The Data Process Lead will play a critical role in helping Global Services leverage data as an asset and enable the effective adoption of AI across business processes. This role will partner with business, technology, and AI teams to identify opportunities where data, analytics, automation, and AI can drive efficiency, improve decision-making, and enhance customer and employee experiences.
This role will report within the Global Services Strategy and Commercial Services Organization to the Director, Data Strategy and Insights.
Key Responsibilities
Data Workstream Management
Serve as the data subject matter expert for Global Services and SCS initiatives, supporting the Sr. Manager, Data Solutions in translating business needs into scalable data, reporting, analytics, automation, and AI capabilities.
Assess impacts and risk of business, data, and reporting requirements based on project or strategic decisions, and provide potential solutions and mitigation plans to reduce impact.
Collaborate with the data governance team to build data catalogs and a business glossary, data lineage, data quality profiling and rules and data security framework for integrations with downstream systems.
Data Solutions Delivery
Design, build, and optimize data pipelines to ingest, transform, and integrate data from various sources and drive the end-to-end delivery of reporting and analytics or data product solutions within Global Services.
Identify opportunities to use data, automation, analytics, Generative AI, and agentic capabilities to simplify data-intensive processes, improve quality, reduce manual effort, accelerate insight generation, and enhance employee and customer experiences.
Responsible for building an inventory of current data assets, reports, and dashboards, and provide recommendations of future optimal solutions based on business requirements and capabilities within new technology implementations.
Drive the build of data models within downstream systems, ensuring seamless historical and future reporting capabilities.
Ensure existing data assets operate seamlessly with the implementation of new technologies and digital solutions.
Design and implement scalable and efficient data integration architectures that meet business requirements. Ensure data integrity, quality, scalability, and security throughout the pipeline.
Talent Management
Demonstrate influencing skills and credibility.
Onboard and train new peers, as required
Serve as a senior member of the team and continuously support and advise other team members
Be a Trusted Business Partner
Exhibit an unbiased and integrated approach towards business partnering.
Execute global Strategy & Solutions in line with taxonomy.
Create Game-Changing Innovation
Generate ideas, foster and implement a continuous improvement mindset, identifying and pursuing data and process efficiency opportunities.
Identify opportunities to simplify processes through intelligent automation, predictive insights, Generative AI, and emerging AI capabilities.
Execute improvements, generating ideas and implementing in line with global standards.
Qualifications
Education
Bachelor's degree or equivalent in a related field (e.g., Computer Science, Information Systems, Data Science, Business Analytics, or a related field) is required. Advanced degree preferred.
Experience and Skills
Required
6-8 years of experience in data, reporting and analytics development, preferably in a global or multinational organization.
Strong knowledge of data governance frameworks, data quality management, and data integration methodologies.
Experience identifying and translating business challenges into data, analytics, automation, or AI-enabled solutions.
Experience working with structured and unstructured data, including documents, knowledge content, metadata, and API-based data sources.
Experience defining technical and data-quality acceptance criteria and validating that data is fit for its intended analytical or AI use.
Proficiency in data analysis and visualization tools (e.g., SQL, Tableau, Python, etc.) is highly desirable.
Experience working collaboratively with cross-functional partners and across organizational boundaries.
Proven ability to communicate and work effectively across teams to ensure successful development and launches.
A proactive and results-oriented mindset, with the ability to prioritize tasks in a fast-paced environment.
Proven ability to operate independently, manage ambiguity, and coordinate delivery across business, data, technology, architecture, risk, and governance stakeholders.
Flexibility and adaptability to thrive in a multifaceted environment.
Desired Skills
Data Strategy
Data Visualization
Data Literacy & AI Literacy
AI Enablement and Generative AI concepts
Data Engineering (ETL, Data Warehousing, Data Lakes, Lakehouse)
SQL
Agile Processes (Scrum, Kanban)
DevOps / CICD / MLOps
Data modeling
Required Skills
Preferred Skills
Advanced Analytics, Change Management, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Process Optimization, Relationship Building, Statistical Computing, Strategic Thinking
