Senior Technical Project Lead, Ai

Make Your Mark:You'll Get To:Key Responsibilities:- **Lead Agile Ceremonies and Workflow**: Act as the Scrum Master for AI & Automation initiatives, facilitating all Scrum ceremonies (Daily Stand-ups, Sprint Planning, Reviews, and Retrospectives) to ensure predictable and efficient delivery. You will determine and implement the most effective Agile methodologies (Scrum, Kanban, etc.) tailored for our unique AI & Automation development lifecycle.- **Act as the Bridge Between Business and Technology**: Utilize exceptional communication skills to serve as the primary liaison between technical teams and business partners. Translate complex business needs into clear, actionable technical requirements and, in turn, articulate technical progress and challenges to non-technical stakeholders.- **Drive End-to-End Project Delivery**: Manage complex AI & Automation projects from initial concept through to production deployment and post-launch monitoring, ensuring alignment with BlackLine's strategic objectives.- **Proactively Remove Impediments**: Identify, track, and remove obstacles—be they technical, organizational, or resource-related—to empower the project team and maintain project momentum.- **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 the adoption of best practices in responsible AI and data governance within all project workflows.- **Communicate with and Influence Senior Leadership**: Effectively report on project status, risks, and outcomes to diverse audiences, including senior executives, ensuring visibility and alignment across the organization.- **Champion AI Innovation**: Stay current with emerging trends and technologies in the AI & Automation landscape to inform strategic direction and identify new opportunities for innovation at BlackLine.What You'll Bring:**Required Qualifications****Education**:- A Bachelor's degree in a quantitative discipline (e.g., Computer Science, Engineering, Data Science, Applied Mathematics) or equivalent practical experience is required.- A Master's degree in a related technical or business field is a plus.**Experience and Skills**:- **Proven Project Leadership**: A minimum of 7 years in technical project management, with at least 3 years of direct, hands-on experience leading complex Artificial Intelligence (AI) or Automation projects from concept to completion.- **Agile & Scrum Expertise**: Deep, practical experience as a Scrum Master, with a demonstrated ability to implement and lead Agile ceremonies and workflows (Scrum, Kanban). Certified ScrumMaster (CSM), Professional Scrum Master (PSM), or similar Agile certification is highly required. PMP certification is a plus.- **Exceptional Communication**: World-class communication and stakeholder management skills, with proven experience acting as the bridge between technical teams, business partners, and senior executive leadership.- **AI & Automation Technical Acumen**: Strong familiarity with the AI & Automation development lifecycle and core concepts.- **Strategic Problem-Solving**: Excellent analytical and problem-solving skills, with an ability to navigate ambiguity and proactively mitigate the unique risks associated with AI development, including model bias, data quality, and ethical considerations.- **Cloud Platform Knowledge**: Experience with AI services on major cloud platforms (e.g., GCP, AWS, Azure) is highly desirable.**Preferred Qualifications**- **Extensive AI Program Leadership**: 7+ years of progressive experience in technical program or project management, with a proven track record of leading multiple, large-scale AI/ML initiatives concurrently from R&D through to successful production deployment and business adoption.- **Executive Stakeholder Management**: Demonstrated experience reporting to and influencing C-level executives, with a strong ability to articulate complex AI strategies, risks, and outcomes in a clear, concise manner.- **Advanced Agile Leadership**: Experience scaling Agile and Scrum practices across multiple teams or an entire organization. An advanced certification such as Certified Scrum Professional (CSP) or Agile Certified Practitioner (PMI-ACP) is highly desirable.- **FinTech or Enterprise SaaS Experience**: Prior experience managing technical projects within the FinTech industry or for an enterprise SaaS company, providing a foundational understanding of our business context and customer needs.- **Technical Literacy**: A working knowledge of programming languages commonly used in AI (such as Python) to facilitate deeper collaboration with engineering and data science teams.Thrive at BlackLine Because You Are Joining:- A technology-based company with a sense of adventure and a vision for the future. Every door at BlackLine is open. Just bring your brains, your problem-solving skills, and be pa