Senior Technical Delivery Manager
New
R
Real ChemistryHealthcare communications
Or remotely within the USFull-TimeSenior
Salary95,000 - 100,000 USD per year
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Job Details
- Experience
- 5+ years of digital project or technical delivery management in an agency or production environment
- Required Skills
- DrupalJiraWordPress
Requirements
- Bring hands-on AI implementation experience in a real delivery context, with shipped AI-assisted workflows and judgment over outputs before they reach clients.
- Use AI build and delivery tooling in daily work, including GitHub Copilot, Claude Code, Figma-to-code integrations, or AI-assisted QA.
- Have 5+ years of digital project or technical delivery management experience in an agency or production environment, running concurrent builds from intake through launch.
- Have hands-on delivery experience across web (WordPress and/or Drupal), email, and banners.
- Bring experience in pharma, healthcare, or other regulated delivery, including familiarity with MLR/PRC reviews, compliance gates, and fixed regulatory launch dates.
- Coordinate vendors and cross-functional teams, including routing work and managing offshore or nearshore delivery.
- Be fluent in Jira, Workfront or comparable delivery tooling, and understand QA, staging/UAT/production flow, and design-to-code handoff.
- Have sufficient technical literacy to scope realistically and hold build conversations with developers and vendors.
- Nice to have: experience defining AI-augmented delivery playbooks or building AI-assisted QA automation.
- Nice to have: experience with agentic tooling, Veeva certification, or standing up delivery processes, studios, or standards.
Responsibilities
- Triage Workfront and Jira requests, classify deliverables and dependencies, return incomplete requests, and own or validate estimates before build commitments.
- Route projects between in-house teams and vendor partners based on client restrictions, Veeva dependencies, capacity, and offshore rules.
- Manage vendor delivery, including standing syncs, staging-date accountability, SOW burn visibility, and transition documentation.
- Own delivery from kickoff through launch, coordinating review rounds, MLR/PRC readiness, QA gates, and go-live.
- Track progress across concurrent projects and flag delivery risks, dependencies, and conflicts to Producers and Delivery leadership.
- Use AI tools for status synthesis, ticket hygiene, QA support, specification drafting, and documentation.
- Partner on AI-assisted QA and design-to-code workflows, and document AI-assisted delivery playbooks.
- Define completion standards with technical leads and QA; own quality issues, root-cause reviews, and remediation.
- Enforce Jira and Workfront field and status discipline, and lead post-launch reviews that inform process improvements.
- Partner with Producers on SOW scoping and participate in technical scoping, risk, and demo conversations with clients.
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