Description

Key Responsibilities

● Build and maintain Claude Skills/Plugins for Strategy, Portfolio and Governance's recurring deliverables: CW/vendor cost-split analysis (SOW-level $ by support tier, supplier reconciliation to source-of-truth totals), org-change one-pagers, MPR pre-read assembly, AI-adoption reporting, and hiring job description generation.

● Automate data pulls and reconciliation from source systems — Workday (org/headcount), ServiceNow SPM/Master Portfolio, CW expense/SOW spreadsheets, and SharePoint/M365 — into standardized Strategy, Portfolio and Governance reporting formats, with built-in checks against known source totals.

● Develop and register lightweight MCP server integrations connecting Claude/Claude Code to the systems the Strategy, Portfolio and Governance office relies on day to day (Workday, ServiceNow, SharePoint/M365, Slack, Jira/Confluence) via PayPal's Cosmos AI Nexus MCP Hub.

● Certify and publish skills/plugins through the Cosmos Skills & Plugin Registry, meeting taxonomy, metadata, and CI compliance-validation requirements.

● Apply RBAC and data-handling guardrails correctly given the sensitivity of what flows through these tools — unannounced org changes, headcount/hiring plans, and vendor financials — so nothing is exposed outside a strict need-to-know.

● Work directly with Pallavi to translate ad hoc and recurring Strategy, Portfolio and Governance asks into repeatable automation, iterating quickly as reporting needs shift week to week.

● Maintain clear documentation for each skill/plugin (purpose, inputs/outputs, data sources, owner) and provide day-two support/maintenance once in production.

Required Skills & Experience

● 3+ years of software engineering experience, with solid proficiency in Python and/or Node.js/TypeScript.

● Hands-on experience building with Claude Code / Claude Skills or an equivalent agentic coding assistant (e.g., OpenAI Codex, Cursor), including the skill/plugin packaging model (SKILL.md-style definitions, front-matter, tool scoping).

● Working knowledge of the Model Context Protocol (MCP) — building, deploying, and registering MCP servers; comfortable with OAuth/SSO-based auth patterns.

● Experience integrating with enterprise SaaS APIs and data sources — Workday, ServiceNow, Microsoft 365/SharePoint, Atlassian (Jira/Confluence), Slack — plus strong Excel/spreadsheet automation (formulas, pivots, reconciliation logic).

● Understanding of data classification and AI governance concepts (PII handling, RBAC, guardrails) in an enterprise setting.

● High discretion with confidential material — org-change plans, headcount, and vendor financials — before they're announced or finalized.

● Strong written communication — comfortable working directly with an executive office to scope fast-turnaround, judgment-sensitive asks.

Preferred / Nice to Have

● Prior exposure to financial/budget analysis, vendor cost reconciliation, or contingent-workforce (SOW) reporting.

● Familiarity with data engineering (SQL) and business intelligence tools (Looker, Power BI, Tableau)

● Prior work on an internal AI/automation platform team, or with a skills/plugin/tool registry and its certification pipeline

Key Skills

Education

Bachelor's degree