4 days ago

Lead, Data Operations

Formedics

Hybrid
Full Time
$120,000
Hybrid
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Job Overview

Job TitleLead, Data Operations
Job TypeFull Time
Offered Salary$120,000
LocationHybrid

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Job Description

About Formedics

Formedics is a platform where clinicians connect, collaborate, and learn through peer-driven discussions with leading experts, opinion leaders, and deep therapeutic communities. We’re transforming how healthcare professionals connect, learn, and engage using cutting-edge technology and dynamic digital platforms across the healthcare ecosystem. We’re a growing, innovative team that values curiosity, collaboration, and impact. You’ll work alongside smart, passionate people who care deeply about building products and platforms that matter, while having the opportunity to learn, stretch, and grow as the company evolves. Powered by advanced AI/ML technology, our work helps life science and pharmaceutical partners engage healthcare professionals in smarter, more effective ways. If you’re excited by growth, ownership, and shaping the future of healthcare communication, you’ll feel right at home at Formedics.

Overview

We are hiring a Lead, Data Operations to bring structure, prioritization, and accountability to a high-volume data environment. This role owns the DataOps workflow end-to-end—ensuring requests are clearly defined, properly prioritized, and driven to resolution. You will sit at the center of our data flow, partnering with Business Analytics (intake) and Data Analytics Engineering (execution) to reduce chaos, identify risk, and improve data reliability. This is an operations leadership role, not a pure technical role.

Responsibilities

  • Own the DataOps Workflow
  • Manage the DataOps Jira queue (triage, prioritization, routing, closure)
  • Turn ambiguous requests into clear, actionable tasks
  • Enforce workflows, SLAs, and prioritization standards
  • Drive Data Reliability
  • Oversee list matching (PLD), inventory management, and data QA
  • Lead missing data requests and investigations
  • Identify issues early and ensure end-to-end resolution
  • Operate Across Teams
  • Act as the control point between Business Analytics and Data Engineering
  • Manage dependencies, escalate appropriately, and close the loop on all work
  • Push back when needed to protect focus and maintain priorities

Requirements

  • 4–8+ years in data operations, marketing data, or analytics operations
  • Experience with Physician Level Data (PLD)
  • Experience working in a high-volume request or service desk environment
  • Working knowledge of SQL for investigation/validation
Formedics is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by applicable law. Employment decisions are based on qualifications, merit, and business needs.

Key skills/competency

  • Data Operations
  • Jira
  • Prioritization
  • Data Reliability
  • SQL
  • Physician Level Data (PLD)
  • Service Desk Management
  • Workflow Management
  • Data Quality Assurance (QA)
  • Cross-functional Collaboration

Tags:

Data Operations Lead
DataOps
Jira Management
Data Reliability
SQL
Physician Level Data
Analytics Operations
Marketing Data
Service Desk Management
Workflow Automation

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How to Get Hired at Formedics

  • Tailor your resume: Highlight experience in data operations, PLD, and high-volume request environments. Quantify achievements where possible.
  • Craft a compelling cover letter: Express your passion for Formedics' mission and how your operational leadership skills can drive data reliability.
  • Prepare for behavioral questions: Be ready to discuss how you've managed conflicting priorities and improved team processes.
  • Showcase your technical acumen: Be prepared to discuss your experience with SQL for data investigation and validation.
  • Understand Formedics' culture: Research their focus on clinician connection, collaboration, and AI/ML technology.

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