Senior Technical Delivery Manager

Job Summary:

Real Chemistry is looking for a AI-Forward Technical Delivery Manager join our growing team!

21GRAMS, Real Chemistry’s advertising agency, has been ranked the #2 creative health agency in the world by Cannes Lions. ROOM42 is 21GRAMS’ in-house production company, content studio, and Digital & Technology services arm — the team that turns briefs, Figma files, and napkin sketches into working, beautiful, compliant digital deliverables for the top pharma and biotech companies in the world.

We are looking for an AI-Forward Technical Delivery Manager (TDM) to run technical delivery across the full ROOM42 output spectrum — marketing websites, microsites, emails (including Veeva rep-triggered and approved email), banners, IVAs, conference kiosks and interactive experiences — built with in-house developers and specialist vendor partners. This is the person who owns whether the right work gets to the right build team, whether the estimate is real, whether it ships to spec and on time, and who is increasingly using AI to make all of that faster and more consistent. The project manager and account teams own the client relationship and the date. The TDM owns whether that date is achievable and gets the work built — qualifying intake, routing to the right build team, running the review-and-QA lifecycle, holding vendors to standard, and applying AI where it creates genuine delivery leverage, not novelty.

This is a hybrid role, based in any of our US based in any of our U.S. office locations, including New York City, Boston, Chicago, Lambertville, NJ, San Francisco, or Carmel, IN or remotely within the US, depending on team and business needs.

What you’ll do:

Intake & Technical Qualification

• Triage incoming requests from Workfront and Jira; assign deliverable type, complexity tier, and dependency flags (Veeva, MLR, client restrictions) within a defined SLA.
• Return incomplete requests rather than absorbing them — no handoff to build without specs, assets, link matrix, CTAs/UTMs, and a real level-of-effort estimate.
• Own or validate the estimate before any build commitment, using ROOM42’s estimation tooling and rate card. 

Build Team Routing & Vendor Management

• Decide in-house vs. vendor partner per project against MSA offshore rules, client restrictions, Veeva dependency, and capacity — and escalate routing decisions that carry cost or transition implications.
• Run day-to-day vendor delivery: standing syncs, staging-date accountability, cap-burn visibility against SOW, and knowledge-transfer documentation during vendor transitions.
• Escalate quality issues to the vendor lead and commercial issues to the Digital & Technology leadership.

Technical Delivery Lifecycle

• Own delivery from kickoff through post-launch: dev kickoff, staging links, review-round sequencing (R1/R2/R3), MLR/PRC submission readiness, QA gate, and go-live.
• Maintain a live view of technical progress across a concurrent portfolio; proactively flag risks to Producers and Delivery leadership before they surface in status calls.
• Drive milestone gates with QA — confirm that what moves from development to QA to UAT to production is actually ready, not optimistically ready.
• Manage technical dependencies across concurrent projects (shared environments, overlapping timelines, licensing, PDUFA-anchored dates) and surface conflicts before they collide.

AI-Augmented Delivery

• Use AI tools daily to accelerate the delivery workflow — status synthesis, ticket hygiene, QA support, specification drafting, and documentation — not as novelties but as real accelerators.
• Partner on ROOM42’s AI-augmented QA and design-to-code workflows (visual regression, accessibility scanning, Figma-to-code handoff) so quality is structural and repeatable across deliverable types.
• Help define and document AI-assisted delivery playbooks per deliverable type so the approach scales beyond a single practitioner, and evaluate emerging tooling for genuine leverage.
• Apply judgment to AI output — know where AI-assisted work needs human review before it reaches a client, and keep quality from degrading as volume scales.

Quality, Standards & Portfolio Hygiene

• Define ‘done’ for each deliverable type with the technical lead and QA — not just ‘it works,’ but performant, accessible, cross-browser validated, MLR-clean, and visually faithful to approved design.
• Own quality accountability for your portfolio: if something ships broken or fails an MLR technical review, own the root cause and the remediation.
• Enforce Jira/Workfront field discipline and status accuracy so the portfolio is legible to leadership and reporting is reliable.
• Lead post-launch reviews on major engagements; translate defect patterns into upstream process improvements.

Partnership & Communication

• Serve as the technical delivery counterpart to Producers, account teams, UX/UI, developers, and QA — translating between them without jargon.
• Partner with Producers on SOW scoping: turn creative and functional requirements into accurate hours, stack decisions, and phased rollout plans.
• Participate in client-facing conversations where technical delivery credibility matters — scoping sessions, risk discussions, and demo walkthroughs.

This position is a perfect fit for you if:

• Our Company values, Best Together, Impact Obsessed, Excellence Expected, Evolve Always, and Accountability with an "I", genuinely resonate with how you work and lead.
• You demonstrate the Real Chemistry Can mindset by approaching challenges with optimism, accountability, creativity, and a solutions-oriented attitude, always looking for ways to make a meaningful impact for our clients, colleagues, and communities.
• You are adaptable, resilient, and comfortable adjusting your scope, responsibilities, and priorities in a fast-paced, evolving environment. As our business grows and changes, so do we.
• You are proactive, driven, and resourceful, with strong prioritization skills, intellectual curiosity, and a desire to leverage data to inform decisions and drive outcomes.
• You are energized by innovation and the transformative potential of AI, actively exploring new technologies, identifying opportunities to work smarter, and championing practical, responsible AI adoption that drives meaningful business impact.

What you should have:

• Hands-on AI implementation experience in a real delivery context — you have built or stood up AI-assisted workflows that shipped, not just experimented with tools. This means applying AI to concrete delivery problems (specification drafting, estimation, ticket and status synthesis, QA support, documentation, triage classification, deployment), measuring whether it actually saved time, and exercising judgment over the output before it reaches a client.
• Daily, practical fluency with AI build and delivery tooling — GitHub Copilot, Claude Code, Figma-to-code integrations, AI-assisted QA — and the discernment to tell genuine leverage from hype and to catch where AI output degrades quality at scale.
• 5+ years of digital project or technical delivery management in an agency or production environment, running concurrent digital builds from intake through launch.
• Hands-on experience delivering across web (WordPress and/or Drupal), email, and banners; exposure to IVAs, Veeva, or interactive experiences a strong plus.
• Pharma, healthcare, or other regulated-delivery experience — familiarity with MLR/PRC review cycles, compliance gates, and fixed regulatory launch dates.
• Vendor and cross-functional coordination: routing work, holding external partners to standard, and managing offshore/nearshore delivery.
• Fluency in delivery tooling: Jira, Workfront or comparable, and a working understanding of QA, staging/UAT/production flow, and design-to-code handoff.
• Enough technical literacy to hold a credible build conversation with developers and vendors, scope realistically, and know when to pull in the technical lead — without needing to write production code.

Nice to have

• Experience defining and documenting AI-augmented delivery playbooks so the approach scales beyond a single practitioner across a team or vendor pod.
• Hands-on work with agentic tooling — MCP servers, AI browser agents, or generative UI frameworks — and a point of view on where each creates real delivery leverage.
• Built AI-assisted QA automation in production: visual regression, accessibility scanning, or AI-generated test coverage.
• Veeva certification (approved email and/or IVA).
• Experience standing up delivery processes, studios, or standards from the ground up.

Pay Range: $95,000-$100,000
The anticipated salary range for this position is listed above. Consistent with applicable law, compensation will be determined based on job-related, non-discriminatory factors including but not limited to experience, skills, qualifications, geographic location, and internal parity.

In addition to base salary, Real Chemistry offers a comprehensive benefits package and a variety of programs designed to support our employees' well-being, growth, and success.

Real Chemistry reserves the right to update compensation and benefits programs at any time.