Data Product & Quality Specialist

Accenture Federal Services•Suitland, MD

2d•$105,100 - $115,400

About The Position

As a Data Product & Quality Specialist at AFS, you will act as the primary quality and testing authority for data products, bridging the gap between the engineering team and data consumers. Accenture Federal Services is a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward!

Requirements

User-level experience with API testing tools (e.g., Postman), data catalog interfaces (ACDC), and data validation techniques.
Experience with Python scripting
Familiarity with SQL
Experience in data quality assurance, software testing, and writing technical documentation.
An active Secret clearance is required

Nice To Haves

Excellent communication skills to effectively translate consumer needs into technical feedback for the development team.
A strong analytical mindset with the ability to understand data from both a technical and a mission-user perspective.

Responsibilities

Develop and execute test plans for data pipelines, APIs, and data products to verify accuracy, completeness, and adherence to requirements.
Perform functional testing from a consumer's perspective, validating that data is discoverable in the ACDC catalog, accessible via the APIs, and matches the documented metadata.
Serve as a member of the "Enabling Team," acting as a data mesh advocate who supports the adoption of the DME by helping consumers find, understand, and use data products.
Create and maintain user-facing documentation, tutorials, and "getting started" guides for data consumers.
Gather feedback from early adopters and mission partners to create a feedback loop that drives continuous improvement for the data products and the platform itself.