Senior Lead, Technical AI Project Manager Make Your Mark: BlackLine is seeking a Senior Lead Technical AI Project Manager to architect and lead high-impact Artificial Intelligence (AI) and Automation programs. This role requires deep expertise across the AI development lifecycle, the ability to set the strategic direction for AI delivery at an organizational level, and the independent discretion to navigate the organization's most unprecedented challenges. The ideal candidate operates as an influencer, architect, and orchestrator-defining how AI programs are built and governed, shaping the department's strategic direction, and anticipating emerging trends before the organization identifies the need. This person bridges technical teams and business partners while driving consequential outcomes. You'll Get To: Lead Agile Ceremonies and Workflow Architect and orchestrate the Agile delivery model for AI & Automation initiatives-designing ceremony structures, team workflows, and operating rhythms that scale across teams and evolve as the program matures. Set the standard for Agile methodology within BlackLine's AI organization, selecting, adapting, and continuously evolving frameworks (Scrum, Kanban, or hybrid) to serve as the internal authority on how AI development teams operate. Bridge Business and Technology Serve as the strategic link and thought leader among technical teams, business partners, and executive leadership-translating business strategy into technical direction, advising senior stakeholders on AI capabilities and risks, and shaping how the department approaches AI-driven transformation. Drive End-to-End Project Delivery Set objectives for and architect the end-to-end delivery of large-scale AI & Automation programs-from concept through production deployment and long-term business adoption-with accountability for outcomes that shape the business unit's multi-year strategic direction. Exercise independent discretion to resolve complex, unprecedented impediments-technical, organizational, or structural-making consequential decisions autonomously to protect program momentum and strategic outcomes. Manage AI-Specific Risks and Governance Identify, assess, and mitigate risks unique to AI projects, including data quality, model bias, ethical considerations, and performance degradation. Drive adoption of responsible AI and data governance best practices across all project workflows. Communicate with Senior Leadership Influence senior executives and cross-functional leadership on AI strategy, investment priorities, and program direction-framing complex technical outcomes in terms of business impact and guiding the department's strategic decision-making. Drive AI Innovation Anticipate emerging AI trends, tools, and delivery paradigms before the organization identifies the need-developing novel approaches through unprecedented challenges and architecting innovation or adaptation strategies that position BlackLine ahead of the curve. What You'll Bring: Bachelor's degree in a quantitative discipline (Computer Science, Engineering, Data Science, Applied Mathematics) or equivalent practical experience. Master's degree in a related technical or business field is a plus. Minimum 10 years in technical program management, with at least 5 years setting objectives for and leading large-scale AI or Automation programs from concept through long-term business adoption. -Deep hands-on experience as a Scrum Master with demonstrated ability to lead Agile ceremonies and workflows. Certified ScrumMaster (CSM) or Professional Scrum Master (PSM) is required; PMP is a plus. -Demonstrated ability to act as the bridge between technical teams, business partners, and executive leadership-translating complexity in both directions. Strong familiarity with the AI development lifecycle, core ML concepts, and the unique delivery challenges of AI projects. Demonstrated ability to develop novel paths through the organization's most ambiguous and unprecedented AI challenges, exercising independent judgment to make consequential decisions with incomplete information. Experience with AI services on major cloud platforms (GCP, AWS, or Azure) is highly desirable. We're Even More Excited If You Have: Large-Scale AI Program Leadership: 10+ years of progressive experience setting objectives for and governing multiple concurrent large-scale AI/ML programs, with accountability for portfolio-level outcomes that shape business unit strategy. Executive Influence: Demonstrated track record of influencing C-level executives and shaping business unit strategic direction through AI program outcomes, with the ability to guide investment decisions and long-term technology strategy. Advanced Agile Leadership: Experience scaling Agile and Scrum practices across multiple teams or an enterprise. Advanced certifications such as CSP or PMI-ACP are highly desirable. FinTech or Enterprise SaaS Experience: Prior experience managing technical projects within FinTech or enterprise SaaS, providing foundational understanding of our business context and customer needs. Responsible AI Expertise: Strong command of ethical AI principles-fairness, accountability, transparency, and explainability-and practical experience applying them in production AI systems. Technical Literacy: Working knowledge of AI/ML languages to enable deeper collaboration with engineering and data science teams. BlackLine recognizes that the ways we work and the workplace itself has shifted. We innovate in a workplace that optimizes a combination of virtual and in-person interactions to maximize collaboration and nurture our culture. Candidates who live within a reasonable commute to one of our offices will work in the office at least 3 days a week. Salary Range: $190,000.00-$238,000.00 Pay Transparency Statement: Placement within this range depends upon several factors, including the applicant's prior relevant job experience, skill set, and geographic location. In addition to base pay, BlackLine also offers short-term and long-term incentive programs, based on eligibility, along with a robust offering of benefit and wellness plans. We are committed to pay transparency and ensuring candidates have clear information about compensation expectations. For roles that include variable incentive components such as an Incentive Compensation Plan (ICP) or On-Target Earnings (OTE), the compensation structure may follow a split model - for example, a 50/50, 70/30, or 60/40 ratio between base salary and variable incentive.