Principal Consultant - Commercial Data & Marketing Technology
Listed on 2026-06-03
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IT/Tech
Data Analyst
Job Title: Principal Consultant – Commercial Data & Marketing Technology
Primary Location: Remote, must reside in the US and will have occasional travel
Position Type: Direct Hire or Contract-to-Hire (flexible with long-term/FTE as the intent)
Overview
Talent Fish is casting a line for a highly experienced Principal Consultant focused on Commercial Data & Marketing Technology within the life sciences/pharma space for our premier client. This individual will serve as both a senior technical leader and client-facing strategic partner supporting complex commercial data and Mar Tech initiatives.
This is a highly hands-on role requiring deep technical expertise alongside executive-level consulting and stakeholder management capabilities. The ideal candidate can operate comfortably across architecture, engineering, agile delivery leadership, commercial analytics, and senior client advisory responsibilities.
The role will support a high-visibility life sciences engagement with opportunity to expand impact across additional pharma initiatives over time.
In a typical week, you will:
- Lead the engagement’s overall delivery cadence — sprint planning, backlog grooming, stakeholder reviews, status communication
- Own architectural decisions across the commercial data platform: ingestion patterns from media platforms (Google Ads, MS Ads, Meta, Tik Tok, CM360), CRM and sales (Veeva), pharma data vendors (IQVIA, Komodo, Symphony, Crossix), and the agency-side media plan
- Stay in the platform — Databricks, Azure Dev Ops, the data model itself — for design work, code review, and the unblocking work that only the senior technical person can do
- Reconcile campaign metadata across platforms using Claravine (or equivalent), and bring the media agency flowchart in as a first-class source of truth for spend-to-outcome reconciliation
- Translate technical realities into commercial language for senior client stakeholders, and translate commercial outcomes into technical priorities for the team
- Mentor and direct the existing team
Data platform:
Databricks (Delta Lake, Unity Catalog, workflows, jobs). CI/CD and source control:
Azure Dev Ops (pipelines, repos, artifacts, branch strategy). Sources you’ll ingest, model, and operate on:
- CRM and personal promotion:
Veeva CRM / Vault - Adtech and media:
Google Ads, Microsoft Ads, Meta, Tik Tok, CM360, programmatic DSPs - Mar Tech and marketing automation:
Marketo, with familiarity in Salesforce Marketing Cloud or Adobe Experience Cloud as a plus - Metadata management:
Claravine or equivalent campaign taxonomy tooling - Agency-side: the media plan and flowchart as canonical artifacts for reconciliation
In your first 30 days, you’ve built relationships across the client’s senior team, earned credibility with the engineering team by being immediately useful in code review and architectural conversations, and have a clear-eyed read on the engagement’s strengths and gaps.
In your first 90 days, you’re running delivery day-to-day with confidence, the client is bringing harder problems to you, and you’ve identified and shipped one or two pragmatic improvements to the platform that meaningfully move outcomes.
In your first 12 months, the client treats you as their trusted senior advisor for commercial data and Mar Tech, you’ve expanded scope or impact on the engagement, and you’re positioned to lead a second pharma engagement when the right opportunity emerges.
Preferred Experience
- 10+ years in pharma/life sciences commercial data, marketing technology, or commercial analytics — in-house, at a consultancy or agency, or both
- Demonstrated hands-on experience designing, building, and operating modern data platforms on Databricks — Delta Lake, Unity Catalog, workflows, jobs. We are not looking for “I’ve heard of Databricks”; we are looking for “I’ve shipped on Databricks.”
- Production experience with CI/CD on Azure Dev Ops — pipelines, repos, artifacts, branch strategy
- Working knowledge of pharma commercial data, including personal promotion (rep-driven, Veeva-centric), non-personal promotion (HCP digital and DTC), and physician-level (NPI-linked)…
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