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Global 6w PTO 18w maternity 18w paternity

  • Establish the M&A Playbook, managing due diligence and post-merger integration.
  • Architect and lead the end-to-end Annual Operating Plan (AOP) process and strategic resource planning.
  • Act as a special projects lead to optimize financial operations and drive scalable solutions.

Project Management M&A Strategic Planning Process Optimization Stakeholder Management

3 jobs similar to Head of Finance PMO

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$160,000–$180,000/yr
US

  • Spearhead product strategy and technical execution for the new Third-Party Originations channel, defining the roadmap for the TPO ecosystem.
  • Lead development of the TPO lending platform, including partner portals and API integrations, to drive growth in loan origination volume.
  • Act as a cross-functional leader between Engineering, Capital Markets, Sales, and other teams, translating complex industry requirements into technical specifications.

Achieve is a digital personal finance company that provides innovative solutions like personal loans, home equity loans, and debt consolidation. It is a large private consumer fintech with over 3,000 employees, fostering a culture that puts people first with care and compassion.

US

  • Study design and execution: Design and run clinical validation studies correlating AI-derived metrics with surgical outcomes.
  • Scoring methodology: Develop and refine composite scoring algorithms that summarize multi-dimensional surgical performance into interpretable scores.
  • Statistical modeling: Apply appropriate statistical methods to clinical datasets with clustered, sparse, and heterogeneous data.

The Surgical Data Science Center develops AI-powered tools that analyze surgical video to improve surgical techniques. It is a nonprofit organization bringing together surgeons, scientists, and engineers to turn surgical videos into searchable, data-rich tools.

Global

  • Own cross-cloud data movement and delivery, executing and monitoring large-scale transfers using CLI tools and managing credentials and workflows.
  • Build structured data assembly and lightweight transformation workflows using Python and SQL to join datasets, clean data, and validate outputs for delivery-ready datasets.
  • Operate internal pipelines with production discipline, leveraging a Dagster-based platform to orchestrate data processing, maintain workflow separation, and build scripts for validation and recovery.

Protege builds a secure platform for the efficient and privacy-centric exchange of AI training data, addressing a major challenge in AI development. It is a lean, high-trust team of builders backed by top investors, focused on velocity, impact, and shaping the future of data and AI.