Washington, DC30+ days ago
Experience with machine learning or predictive analytics, particularly in applied contexts like audience modeling, targeting or classification, preferred; Familiarity with product development practices, including roadmap planning, user research, and iterative development (experience in a product-focused engineering leadership role preferred); Knowledge of and experience with both national and local labor structures and experience working in the labor movement preferred; Hands-on experience with LLM-based tools and applications, like retrieval-augmented generation, agents, or workflow automation, a plus; Proven commitment to building and leading diverse teams of people and creating a supportive working environment for all team members; Experience reviewing and managing complex program budgets, work plans and timelines as well as leading and supporting organizational change; Excellent active listening, interpersonal, communication, and problem-solving skills with the ability to connect with different types of stakeholders, including staff; Demonstrated ability to work effectively in politically sensitive and high-pressure environments; Experience communicating complex technical concepts to non-technical audiences; Commitment to team collaboration and fostering a culture of curiosity in learning new things across a team, including supporting and facilitating professional development opportunities; Demonstrated ability to resolve conflicts while maintaining important and effective relationships as well as working collaboratively and respectfully with high-level officers and representatives of the labor movement; Ability to work well under tight deadlines; Ability to work long and irregular hours, including weekends, and to travel as needed. At least 8 years of related work experience and 4 or more years of experience managing a technical team (data, analytics, web or software development, etc.); Demonstrated domain expertise in data, analytics, digital strategy, software development or other technical field; Demonstrated strength as a people manager, with experience managing other managers, coaching and developing technical staff, building team capabilities, and creating supportive environments where people do their best work; Experience leading teams through major technical transformations or process improvements, particularly in environments with a mix of legacy systems and institutional knowledge; Experience with modern data stacks and development tools for: cloud architectures; big data; machine learning and LLM’s; automated testing, integration and deployment; and agentic software development.