AD, Ecosystem Operations Management (Duluth, GA, United States, Georgia) bei None

Description

As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development, and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies' success. We realize that our strength and competitive advantage lie with our people. We support our employees in several ways to foster a healthy working environment, meaningful work, mobility, networking, and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees.

The Associate Director, Ecosystem Operations Management will work with Commercial Excellence teams, IT, GBS and Business Segment teams to ensure that ecosystem data operations are reliable and data is delivered with high quality, on-time, and consistently for analytics and reporting use cases. This role will manage stakeholder expectation regarding ecosystem operations. The incumbent will lead cross-functional teams to execute operational data projects that introduce changes to the data ecosystem.

The AD, Ecosystem Operations Management will ensure to set high standards for Boehringer's partnership with 3rd party data providers to ensure high-quality data is provided for our data ecosystem. This role identifies and determines alternatives for vendors and data acquisitions based on informed and systematic analysis and collaboration with internal stakeholders. The incumbent partners with other functions to review contracts with data vendors and to balance and maximize data purchasing effectiveness and driving down overall USAH data acquisition and management costs.

Duties & Responsibilities

• Drives execution of cross-functional commercial data operations changes that impact the ecosystem by leading and coordinating multiple CE teams.
• Establishes and maintains processes for data exchanges with 3rd party vendors and for ecosystem data operations.
• Partners with IT and perform consistent testing and monitoring to ensure ecosystem data operations result in quality, complete and timely data.
• Enforces agreed upon data availability SLAs and internal CE stakeholder management communications processes.
• Leads collaboration among Boehringer's 3rd party data partners and IT partners to setup data exchange agreements and integrations for all incoming and outgoing data for the commercial data ecosystem.
• Delivers road map plans and high-level status updates to commercial business program leads for 3rd party and ecosystem data changes and integrations that are driven by strategic business priorities.
• Maintains relationships and with software application partners and manages license renewals in partnership with IT.
• Holds data vendors accountable regarding data accuracy, timing, delivery, performance.
• Conducts vendor assessment and review meetings to review vendor performance.
• Defines vendor SLAs, SOPs and KPIs to drive performance.
• Develops vendor data quality criteria and ensures quality enforcement by IT engineering teams.
• Partners with data governance function to ensure vendor data is compliant with privacy, security and legal rules and vendor performance adheres with contractual agreements between vendor and Boehringer Ingelheim.
• Collaborates with business colleagues in Commercial Excellence and Pets, Equine and Livestock business segments to understand use cases for external data to support various channels including Corporate Partnerships, GenVet, and Retail.

Requirements

• Bachelor’s degree and a minimum ten-plus (10+) years of experience in either manufacturing, consumer packaged goods, pharma commercial, consulting, technology or retail industries required.
• Master's degree and a minimum seven-plus (7+) years of experience in either manufacturing, consumer packaged goods, pharma commercial, consulting, technology or retail industries preferred.
• Candidate must have a minimum of seven-plus (7+) years of technical data experience that includes either data engineering, software engineering.
• Six (6) years of experience in Project Management or Program management or PMP certification plus Three-plus (3+) years of experience leading projects.
• Superb communication skills both written and verbal.
• Demonstrated experience in leading teams and influencing upward.
• Ability to manage multiple large vendors and hold them accountable for data accuracy and meeting deliverables.
• Prior data governance experiences helpful.

Eligibility Requirements:

• Must be legally authorized to work in the United States without restriction.
• Must be willing to take a drug test and post-offer physical (if required).
• Must be 18 years of age or older.