About the Role:

Andela is seeking to expand the SMB/Enterprise Matching Specialist team within Data Science and Machine Learning Vertical that plays a critical role in the process of connecting our customers with the very best engineers in Andela’s talent network for their needs.

The team lies in the Talent Business Unit of Andela that is in charge of facilitating the entire journey of talents from top-of-the-funnel, sourcing, assessment, to matching them with clients and jobs, as well as community activities, and ensuring great talent experience in each step of the process.

In this role, you will sit at the nexus of the Talent Unit and be the key link between the talents from the network and customers. The Matching Specialist team is specifically in charge of matching clients/jobs and talents from the network through a number of activities including:

• client-facing activities such as gathering, documenting, and communicating client requirements based on their business, technical, cultural, and resourcing needs
• talent-facing activities such as searching, identifying, vetting, and placing the best qualified Andela engineer(s) to meet those needs.
• a set of other activities that support the whole Matching process

Matching Specialist need to have a wide knowledge and some hands-on experience in technology and be up to date with all technologies, data science and machine learning concepts, and have an understanding of the data science/machine learning lifecycle in each area (e.g. full-stack, Data Engineering, DevOps, CloudOps, QA, etc) in order to be able and competent to discuss, and understand client’s needs, be able to advise on pros and cons of different solutions and give guidance on hiring strategies, as well as set the right expectations regarding feasibility, budget, timelines and turnaround times. You will also use this knowledge to properly search for talents (using our internal tools), and evaluate their suitability for the role, prep them and support them throughout the interview process.

In your day-to-day, you will be responsible for handling your portfolio of open jobs, pushing them through the funnel, updating all the systems with accurate information, and collaborating with many different teams in order to deliver on that.

This position requires a highly organized self-starter with an interest in operations, talent, and engineering. You must be comfortable and flexible navigating ambiguity and working across cross-cultural teams in a fast-paced environment.

Responsibilities:

• Be responsible for the entire Matching Process from gathering requirements to placing a data science and machine learning expert on the job
• Understand customer’s needs and be able to effectively craft and convey the best solution that fits their unique needs, including advising on likely resourcing strategies, expected timelines, and any talent-related constraints
• Translate business and functional requirements from clients into documented technical specifications to aid in matching clients with the appropriate engineers
• Own resourcing logistics and matchmaking, while providing insight into the process to relevant teams
• Provide transparency on the availability of our engineers to revenue-driving teams and collaborate closely with recruiters to proactively bolster available talent with in-demand skills
• When talent supply is unavailable, partner with recruiting team to strategize the best solution
• Develop a deep understanding of engineers currently available, including their technical abilities, prior industry experience, and growth desires
• Ensure 100% data accuracy in Andela’s systems around engineer profiles, availability, and engagements
• Conduct informational and pre-vetting sessions with engineers concerning the placement and resourcing process
• Perform activities related to supporting customer accounts, and engagements including preparation, onboarding, delivery management
• Actively participate in driving growth to Andela’s network and customer accounts
• Take part in creating and improving the team’s processes, policies, platform support
• Maintain deep awareness of trends in software development and standard methodologies in distributed work

Preferred Qualifications:

• Four-year degree from an accredited university, preferably in Business, Operations, Engineering, or Computer Science
• 4+ years of experience working in software development, technology consulting, or technical product/project management
• Understanding of the entire SDLC/ADLC in different areas of Technology
• Familiarity with technology concepts including, but not limited to: cloud computing, mobile, applications design/development/hosting, DevOps, IoT, databases, analytics, machine learning, algorithms, networking, security, storage, continuous integration and deployment, APIs, microservices, containerization, and site reliability engineering
• [For Ent team] 2+ years in Enterprise client-facing, operationally-focused role, ideally interacting with mid-to senior-level technology executives
• Excellent written and verbal communication skills, including the ability to optimally present sophisticated information clearly and keep track of multiple work streams at once
• Experience directly interacting with customers and have a client-centric approach
• Demonstrated ability to adapt to changing business priorities and a strong work ethic
• Experience thriving in a fast-paced, collaborative, cross-disciplinary, and geographically dispersed environment
• Strong organizational skills with experience coordinating multiple work streams simultaneously
• Consistent track record to think out of the box, strategically and act tactically about business, customers, product, and technical challenges

This role is fully remote #LI-NSR