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Director Data Organization Jobs (NOW HIRING)

SoTalent

Director Data Science

Boston, MA · On-site

Director, Real-World Evidence Data Sciences Lead 📍 Boston, MA (Hybrid) 🕒 Full-time 💼 ... across the organization. Key Responsibilities RWE Strategy & Leadership * Define and execute ...

New

Pivot Bio

Director, Data Architect

Minnetonka, MN · On-site

$65 - $83.50/hr

Pivot Bio's Director, Data Architect will play a key role in making data actionable at all levels of the organization to inform decisions, actions, and strategy. This individual will design and ...

Boot Barn

Director, Data Science

Irvine, CA

DIRECTOR, DATA SCIENCE REPORTS TO: CHIEF DIGITAL OFFICER STATUS: EXEMPT Summary Boot Barn is where ... Define and drive the vision, strategy, and operating plan for Data Science across the organization ...

Lexipol LLC

Director Data Services

Frisco, TX · Remote

The WorkThe Director of Data Services sits within the Internal Technology organization and reports to the VP of Internal Technology. This role carries a unique dual mandate: delivering data ...

Deckers

Director, Data Governance

Washington, DC · Remote

Job Title: Director, Data Governance Reports to: Chief Digital & Data Officer Location: United ... Strong program management, organizational, and documentation skills * Proactive, detail-oriented ...

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All JobsDirector Data Organization Jobs

Director Data Organization information

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$52K

$128.5K

$200K

How much do director data organization jobs pay per year?

As of Jun 17, 2026, the average yearly pay for director data organization in the United States is $128,526.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $163,500.00 per year, depending on experience, location, and employer.

What are Director Data Organization?

A Director of Data Organization is a senior leadership role responsible for overseeing the management, governance, and strategic use of data within an organization. They develop policies and frameworks to ensure data is collected, stored, and used effectively and securely. This role often collaborates with other departments to drive data-driven decision-making, ensure compliance with regulations, and support business objectives. Directors of Data Organization typically lead teams of data professionals and play a key role in shaping the organization's data culture.

What is the difference between Director Data Organization vs Data Analyst?

AspectDirector Data OrganizationData Analyst
CredentialsBachelor's or Master's in Data Science, Business, or related fields; often requires leadership experienceBachelor's or Master's in Data Science, Statistics, or related fields; often entry to mid-level experience
Work EnvironmentStrategic planning, team leadership, cross-department collaborationData collection, analysis, reporting, and visualization
Employer & Industry UsageOrganizations seeking data governance and strategic data managementOrganizations analyzing data to inform decisions, marketing, finance, etc.

The main difference is that the Director Data Organization focuses on overseeing data management strategies and leading teams, while Data Analysts primarily analyze data to generate insights. The director role involves higher-level planning and leadership, whereas analysts focus on data processing and reporting.

How does a Director of Data Organization typically collaborate with cross-functional teams to drive data initiatives?

A Director of Data Organization works closely with teams across the business, including IT, analytics, product, and executive leadership, to align data strategies with organizational goals. They facilitate communication between departments to ensure data needs are understood and met, and often lead initiatives to standardize data processes and governance. Regular meetings, project planning sessions, and status updates are common, as the Director ensures that data projects support broader business objectives and that best practices are followed throughout the organization.

What are the key skills and qualifications needed to thrive as a Director of Data Organization, and why are they important?

To thrive as a Director of Data Organization, you need extensive experience in data management, analytics, and strategic leadership, often supported by an advanced degree in computer science, information systems, or related fields. Familiarity with data governance frameworks, database management systems (e.g., SQL, NoSQL), and tools like Tableau, Python, or cloud platforms is typically required, along with certifications such as CDMP (Certified Data Management Professional). Exceptional communication, stakeholder management, and problem-solving skills help drive cross-functional alignment and foster a data-driven culture. These competencies are essential to ensure data integrity, regulatory compliance, and the effective use of organizational data assets to achieve business objectives.
More about Director Data Organization jobs
What cities are hiring for Director Data Organization jobs? Cities with the most Director Data Organization job openings:
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Director Data Organization jobs near you
Infographic showing various Director Data Organization job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $128,526 per year, or $61.8 per hour.

Director Data Science

SoTalent

Boston, MA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Director, Real-World Evidence Data Sciences Lead

📍 Boston, MA (Hybrid)

🕒 Full-time

💼 Director / Data Science / RWE

Role Overview

Senior data science leadership role responsible for enterprise Real-World Evidence (RWE) data strategy, overseeing the acquisition, quality, curation, and application of large-scale observational data (claims, registries, labs, EHR/EMR). The role enables high-impact insights across R&D, early development, clinical programs, and marketed products, supporting evidence generation for serious and unmet diseases.

This position sits within a Real-World Data Center of Excellence, driving standardization, scalability, and innovation in how RWD is sourced, governed, and used across the organization.

Key Responsibilities

RWE Strategy & Leadership

  • Define and execute enterprise RWE data strategies aligned to research, clinical, and commercial needs
  • Act as a subject-matter leader on observational studies, regulatory expectations, and evolving FDA RWE guidance
  • Lead transparency, education, and enablement of RWD use across global teams

Data Acquisition, Quality & Governance

  • Oversee acquisition and management of external observational data sources (claims, registries, labs, EHR/EMR)
  • Define and maintain data transfer, quality control, and curation pipelines ensuring data is fit-for-purpose
  • Ensure consistency of quality standards across diverse data types and vendors

Advanced Analytics & Innovation

  • Conduct and guide feasibility, exploratory, and applied RWE analyses supporting epidemiology, biomarkers, translational science, value & access, and safety
  • Leverage advanced analytics, automation, and Gen-AI / agentic AI to accelerate insight generation
  • Partner with data visualization and analytics teams to enable scalable, compliant analytics delivery

Cross-Functional & External Collaboration

  • Partner closely with epidemiologists, biostatisticians, translational scientists, and clinical teams
  • Manage strategic relationships with external data vendors, RWE innovators, and regulators
  • Influence enterprise systems, tools, and processes that impact global RWD usage

Required Experience & Skills

  • Advanced degree in Data Science, Computer Science, Life Sciences, Epidemiology, Bioinformatics, or similar
  • 5–8+ years’ experience in RWE or observational data ingestion, curation, and analysis
  • Deep understanding of drug development and the role of RWE across the lifecycle
  • Strong experience with data pipelines, analytics tools, and scripting (e.g., Python, R, Unix)
  • Proven ability to lead complex, cross-functional initiatives in global environments

Why This Role

  • Enterprise-level influence on RWE strategy and data innovation
  • High visibility across research, development, and regulatory stakeholders
  • Opportunity to shape how real-world data accelerates science and patient impact

Apply