This role supports high-visibility AI and technology programs that are directly tied to process improvement, business adoption, governance, and measurable value realization. As Mercury continues advancing AI-enabled initiatives across the enterprise, this position will provide the structure and delivery discipline needed to turn emerging capabilities into scalable business outcomes. Throughout the project lifecycle, you will track progress, work with Engineering and Product counterparts to manage timelines proactively and ensure effective resolution of issues.
Position Summary:
The primary job function is to oversee various system projects of a highly complex nature.
Essential Job Functions:
Lead project planning, resource allocation, and monitoring to ensure projects stay on schedule and within budget, utilizing agile principles.
Motivate cross-functional teams to meet deadlines and deliverables, fostering a collaborative and agile working environment.
Accountable for delivering technical projects on time, within budget, and with successful outcomes according to business objectives.
Develop comprehensive project plans encompassing scope management, deliverables, milestones, resource management, finance, and quality management, in an agile context.
Manage multiple projects/scrum teams simultaneously, ensuring effective adherence to Agile practices.
Facilitate backlog grooming sessions with cross-functional teams to ensure clear priorities, understanding, and dependencies before sprint planning.
Appropriately engages all organizations to ensure effective adherence to completing PDLC governance.
Maintain and prioritize the requirements backlog, ensuring alignment with technical and operational needs.
Collaborate with Product Management to help drive sprint planning sessions to set development teams up for success in meeting their commitments.
Proactively remove impediments for project teams to ensure continuous workflow.
Monitor and communicate project health, managing interdependencies, and defining critical milestones.
Conduct retrospectives, drive continuous improvements, and share best practices within the organization.
Uphold the company's commitment to risk management and data integrity.
Education:
Experience:
Minimum
Knowledge of AI/ML, generative AI, automation, analytics, or data-driven initiatives.
Experience with AI tools or LLM platforms such as Copilot, Claude, OpenAI, or similar solutions.
Proficiency with Jira Software, Jira Plans and Confluence.
Skills:
#LI-NW1
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