Full-stack Engineer

• Coordinate/Vet/POC/Choose/Evangelize AI in SDLC Trends, Technologies and Frameworks as well as establishing informed views on what is working/not-working.
• Discover, bring awareness to and build knowledge of leading AI in SDLC solution providers including AWS, Azure, Github and Anthropic.
• AI in SDLC Partner/Vendor Management.
• Define Baseline/Standard AI in SDLC “stack”.
• Define Baseline/Standard metrics which measure AI in SDLC effectiveness.
• Project Manage the overall AI in SDLC initiative.
• Lead and coordinate as an Individual Contributor across Enterprise Teams/Business Units.
• Collaborate with cross-functional stakeholders such as Enterprise Architecture, Product Owners, Security, DevOps and Infrastructure Leaders to understand their AI in SDLC requirements/concerns.
• Produce, present and evangelize clearly articulated documentation in the form of Approach Presentations, POC Outcomes, Usage Statistics, Wiki Content and Backlogs.
• Establish practical, actionable and production-grade guideline content and use it to guide teams in best practices for AI in SDLC as well as mentoring team members and fostering a collaborative environment.
• Learn and understand GHX vertical domain level business and functional aspects in order to appropriately shape AI in SDLC approaches/solutions.
• Build and maintain strong business relationships to influence decision-making and drive innovative solutions across teams.

Principal Software Engineer – AI, SDLC Tech Lead

Data Analyst

• Identify patterns and relationships to evaluate, maintain and enrich data quality across multiple systems and data sources
• Continually assess and evaluate processes to improve efficiency in data cleansing activities, with a focus on identifying automation opportunities.
• Develop flexible, reusable, and efficient SQL code while adhering to best practices.
• Conduct root cause analysis (RCA) and impact analysis to identify data quality issues, inform automation efforts, and report findings to teams and stakeholders
• Optimize queries and procedures, troubleshoot and resolve issues, and collaborate with team members to analyze business requirements
• Contribute to the design and implementation of ETL processes using PL/SQL, SQL or Python.

Principal Software Engineer – AI, SDLC Tech Lead

Technical Data Analyst III