Senior Analyst Data Operations

Johnson & Johnson is currently recruiting for a Senior Analyst Data Operations in to be located in North America, Mexico, or Puerto Rico. Remote work options may be considered on a case-by-case basis and if approved by the company.

Caring for the world, one person at a time has inspired and united the people of Johnson & Johnson for over 125 years. We embrace research and science -- bringing innovative ideas, products and services to advance the health and well-being of people.
 
With $94.9 billion in 2022 sales, Johnson & Johnson is the world's most comprehensive and broadly based manufacturer of health care products, as well as a provider of related services, for the consumer, pharmaceutical, and medical devices markets. Employees of the Johnson & Johnson Family of Companies work with partners in health care to touch the lives of over a billion people every day, throughout the world.
Thriving on a diverse company culture, celebrating the uniqueness of our employees and committed to inclusion. Proud to be an equal opportunity employer.

Digital & Data Science is one of the critical capability levers within our J&J Enterprise Supply Chain strategy and is essential to building the world’s best supply chain organization! As the team continues to double-down on fact-based management – illuminating greater transparency and analytical capabilities across the performance indicators that will drive growth for our business – we must ensure that our energy, resources, capabilities, and talented employees are best-aligned to the advancing needs of our business and our customers.

The Data Operations team delivers trusted data to enable the launch & supply of products to our customers. Our key accountabilities include governance and maintenance of the Data Operations Framework; delivering a regulated and compliant data environment; using intelligent automation, workflow, process improvements, cross-segment expertise, and third-party suppliers to improve quality, timeliness, cost, and effort across Supply Chain; applying deep end-to-end knowledge and subject matter expertise to define, shape and implement supply chain strategies; and cultivating talent as a distinctive capability.

This position will monitor and execute day-to-day operations to support the strategy of the function across franchises/business units. Will lead small projects. Will develop solutions to a variety of problems of moderate to fairly intricate scope and complexity, while referring to established policies and procedures.

Major Duties & Responsibilities:
Monitor and execute the data operations and data quality process. May include coordination of testing, error handling, data conversion and/or validation, and audit/compliance actions (Non-Conformance (NC) and/or Corrective Action Preventive Action (CAPA)). Provide tactical direction to third-party team(s).

Engage with partners on tactical matters as Data Governance Lead for a specific workstream or functional area. Provide appropriate guidance on data operations. May include completion of sophisticated change assessments and/or project prioritization requirements, point of escalation for both internal and external team members, s strategic launches and audit/compliance activities. Facilitate continuous improvement of existing data design, process and templates by tactically focusing on business outcomes. 

•    Implement and monitor tools and processes that improve execution. 
•    Prepare metrics, dashboards, and tracking to facilitate the efficient operations of the department. May execute budget and/or value capture
•    protocol within established framework. 
•    Participate in, and sometimes lead, operational and governance meetings which may include end-to-end, value capture, and third-party reviews.
•    Collaborate to create and maintain documentation for area of responsibility. May include Standard Operating Procedures (SOPs), Work Instructions (WIs), protocols, data quality catalogs, and other policy and procedure documents. Develop and deliver training to educate partners on detailed procedures, data flows, etc.
•    Support the deployment of the Data Management Framework.