Senior Data Product & Analytics Operations Lead (Remote)

Optomi; Wilmington (NC); On-site; USD 140,000 - 180,000; Full time

Job summary

Optomi is seeking a senior data professional to organize and advance a modern data organization. The role combines data product ownership, business analysis, portfolio management, and operational leadership.

This is not a traditional Project Manager position. The right candidate will understand modern data environments and connect business stakeholders with data engineering, analytics, data science, and governance teams.

Qualifications

• Financial services or banking experience.
• Understanding of data engineering, analytics, data science, and governance.
• Product ownership, business analysis, or data program experience.
• Portfolio and project management experience.
• Data or analytics consulting experience.
• Ability to translate business needs into technical requirements.
• Excellent stakeholder and executive communication.
• Ability to operate independently and manage ambiguity.

Responsibilities

• Gather business requirements and translate them into actionable data initiatives.
• Partner with business stakeholders and technical leaders.
• Manage priorities across data engineering, analytics, data science, and governance.
• Build project plans and track milestones, risks, dependencies, and deliverables.
• Improve portfolio visibility, status reporting, and stakeholder communication.
• Identify gaps and elevate project risks.
• Strengthen intake, prioritization, and planning processes.
• Improve Agile ceremonies, team meetings, and operating procedures.
• Help the data organization operate more efficiently and consistently.

Skills

Data product ownership

Business analysis

Portfolio management

Stakeholder communication

Tools

Agile/Scrum

Data governance

Job description

Optomi is seeking a senior data professional to organize and advance a modern data organization. The role combines data product ownership, business analysis, portfolio management, and operational leadership.

This is not a traditional Project Manager position. The right candidate will understand modern data environments and connect business stakeholders with data engineering, analytics, data science, and governance teams.