Independently prototypes/develops data solutions of high complexity to meet the needs of the organization and business customers.

Designs proof-of-concept solutions utilizing an advanced understanding of multiple coding languages to meet technical and business requirements, with an ability to perform iterative solution testing to ensure specifications are met.

Evaluates effectiveness of AI in software development lifecycle.

Acts as a technical leader and mentor to the team.

Designs and develops data solutions that enables effective self-service data consumption, and can describe their value to the customer.

Collaborates with stakeholders in defining metrics that are impactful to the business.

Prioritize efforts based on customer value.

Has an in-depth understanding of Agile techniques.

Working with IT, assists in building robust systems focusing on long-term and ongoing maintenance and support.

Ensures data solutions include deliverables required to achieve high quality data.

Works with IT to help scale prototypes.

Strong written and oral communication skills required Bachelors Degree in Computer Science, Computer Engineering, or related discipline preferred Masters in same or related disciplines strongly preferred 7-10 years of experience, 5-7+ years of which are in coding for data management, data warehousing, or other data environments, including, but not limited to, working in NoSQL implementation, ETL, Java, scripting languages (Python, Perl, Shell), and the Hadoop stack 5-7+ years experience as developer with top quadrant Business Intelligence tools

Experience: using SPACE and DORA frameworks to measure organizational performance Strong understanding of complex multi-tier, multi-platform systems, and principles of metadata, lineage, business definitions, compliance, and data security In-depth understanding of Business Intelligence tools, including visualization and user experience techniques