Engineering Manager, Data Science Team

College Board – Technology Organization – Data Science Team  

Location: This is a fully remote role. Candidates who live near CB offices have the option of being fully remote or hybrid (Tuesday and Wednesday in office).  

Type: This is a full-time position 

About the Team  

The Data Science Team provides critical insights and tools to help the executive leadership team, technology teams, and business units optimize test delivery, test development, and test security. Our expertise is understanding a wide array of business problems and using a variety of techniques including data analysis, machine learning, and software engineering to create value from data and support decision making. We have a passion for data analysis, programming, applying new technologies, and building practical solutions. Our small tight knit self-organized team of Data Scientists and Machine Learning Engineers collaborates closely and uses creative problem solving to tackle difficult challenges for many of the organization’s strategic initiatives. 

About the Opportunity   

As an Engineering Manager, you are an idea-generator, a catalyst, a collaborator, and a leader. You understand cloud software delivery and the tools and processes that empower efficient and resilient delivery that adheres to top-notch development practices. You thrive in an environment with a strong mix of creativity and productivity. The greater the complexity you face, the greater initiative and leadership you assume while exercising your influence to get things done across the organization. You will rely on these traits as you communicate with customers and our internal teams to understand their challenges and needs, then create, sustain, deliver, and articulate complex solutions. You will serve as a mentor to the team, bringing them up to speed and enabling all to make healthy contributions. You will carry the voice of the customer to leadership and engineers, helping to bridge the gap between ideas, solutions, and delivery. You will use your inquisitive nature and learning agility to continually seek out useful information that can shape products for the good of the user. You will build strong, productive relationships while guiding, leading, and nurturing your team and stakeholders to produce tremendous value for our customers.  

In this role, you will:  

Provide technical leadership to the team (20%) 

• Sort through options for solutioning, leveraging your own technical expertise. 
• Provide guidance to team members on best practices and approaches based on deep knowledge of stakeholder needs. 
• Act as an arbiter as needed for technical decisions. 
• Manage scope and actively work against developing technical debt. 
• Monitor and manage costs, working with internal resources to optimize the cost and performance of applications. 
• Approach every project with a security-sensitive perspective. 
• Maintain operational services with high fidelity until no longer relevant or handed over to a new team. 

Build and maintain a highly engaged, and high-performing team (40%) 

• Facilitate strong communication across the team leveraging work-management tools. 
• Cultivate norms that support strong communication, a positive working culture, and an engaged team. 
• Invest in high-value meetings and Agile ceremonies that support your team’s ability to focus and perform. 
• Actively cultivate the superpowers of team members and leverage these to develop high quality solutions. 
• Support diversity and inclusion from the perspectives of demographics, skills, and experience. 
• Manage work culture to ensure the mission and operating principles of College Board are consistently recognized and utilized to promote a productive and fair work environment. 
• Support team members who are forward deployed to other teams with regular check-ins and consultation/code review either on your own or with other team members. 
• Collaborate with generosity with colleagues across the org, but especially with the Generative AI Studio 

Interface with Business Partners and Technology Leadership colleagues (40%) 

• Assist colleagues in understanding the capabilities and limitations of data science to craft great problem 
• statements your team can deliver against. 
• Develop a deep understanding of the business needs your team serves to provide thought leadership and alignment around the work of the team. 
• Develop strong working relationships with business partners and fellow engineering leaders to understand the nuances of the complex systems supported by your team’s products and analysis. 
• Manage scope and workload, working iteratively to deliver value and recognizing when additional effort will