Operations Project Manager - Scale Processes & Drive Impact

amycelltalent; St. Louis (MO); Hybrid; USD 104,000 - 140,000; Full time

Job summary

Oxalis is a technology consulting and systems integration firm helping regulated industries modernize at scale. The Ops PM will design scalable workflows, govern internal tools, and drive continuous improvement across product, operations, and cross-functional teams.

The hybrid role in St. Louis, MO focuses on defining operating models, governance, and data-driven improvements to increase efficiency and quality.

Qualifications

• Prior experience in consulting, strategic initiatives, PMO support, or operational enablement roles.
• Ability to operate in ambiguous environments requiring judgment.
• Familiarity with PMO, operations, or cross-functional execution models.
• Highly independent and proactive; able to own end-to-end work.
• Strong written and verbal communication; produce polished materials quickly.
• Detail-oriented with focus on quality and accountability.
• Customer-experience-first mindset; processes serve people.

Responsibilities

• Define and maintain target-state operating models for workflows.
• Translate strategy into scalable operational processes and standards.
• Identify pain points and drive solutions with clear success criteria.
• Document end-to-end workflows with owners and systems.
• Run process reviews to identify friction and opportunities for automation.
• Create operational playbooks and change management plans.
• Define KPIs and enable data-driven governance with dashboards.

Skills

PMO experience

Jira

Confluence

SharePoint

Process improvement

Stakeholder management

Communication skills

Job description

Oxalis is a technology consulting and systems integration firm helping regulated industries modernize at scale. The Ops PM will design scalable workflows, govern internal tools, and drive continuous improvement across product, operations, and cross-functional teams.

The hybrid role in St. Louis, MO focuses on defining operating models, governance, and data-driven improvements to increase efficiency and quality.