Director, Distribution Field Manager
Abbott
Director, Enterprise Data
Alimentiv
full-time
Posted on:
Location Type: Remote
Location: Remote • Illinois • 🇺🇸 United States
Visit company websiteSalary
💰 $144,000 - $239,000 per year
Job Level
Lead
Tech Stack
AzureERPETLTableauVault
About the role
- Architect and implement enterprise-grade data platforms in Azure, supporting structured and unstructured data across clinical and corporate domains.
- Design and maintain scalable data pipelines and repositories that support real-time and batch processing.
- Ensure data integrity, security, and compliance with GxP and regulatory standards.
- Map and optimize end-to-end data flows across clinical operations, including study startup, site management, patient recruitment, and monitoring.
- Extend data architecture and analytics capabilities to support Finance, HR, BD, and other internal functions.
- Integrate data from leading clinical applications such as Veeva Vault Clinical, CTMS, and EDC systems, as well as ERP, HRIS, and CRM platforms.
- Use data to drive measurable improvements in clinical operations (e.g., optimizing site selection, accelerating patient recruitment, and reducing trial timelines)
- Move beyond traditional dashboards to develop novel, predictive, and prescriptive analytics that uncover hidden patterns and inform strategic decisions.
- Collaborate with stakeholders to identify high-impact use cases where data can solve real business problems.
- Implement right-sized data governance frameworks that balance agility with regulatory compliance.
- Define data stewardship roles, metadata management practices, and data quality standards.
- Lead data audits and ensure readiness for regulatory inspections.
- Build and scale business intelligence platforms that deliver actionable insights to clinical and corporate stakeholders.
- Enable internal functions (i.e., Clinical Data Sciences) by providing the data architecture, infrastructure, and tooling necessary to deliver study-level reporting and analytics to clients.
- Partner with data scientists to deploy AI/ML models that improve forecasting, risk detection, and operational efficiency.
- Champion the use of predictive analytics and automation to enhance trial execution and enterprise decision-making.
- Build and mentor a high-performing data and BI team, including data engineers, analysts, and architects.
- Foster a culture of data-driven decision-making and continuous improvement.
- Communicate technical concepts and insights effectively to executive leadership and cross-functional teams.
Requirements
- Education & Experience: Bachelor's degree + a minimum of 10 years' related experience in large scale organizational data strategy and leadership; 15+ years preferred. An equivalent combination of education and experience may be considered given the competencies needed for the role (outlined below) can be demonstrated.
- Data Architecture Expertise: 10+ years in enterprise data architecture, with deep experience in Azure data services (e.g., Data Lake, Synapse, Databricks, etc.), ETL/ELT pipelines, and data modeling.
- Clinical Operations Understanding: Strong grasp of clinical trial workflows and operational data flows within CROs or life sciences organizations.
- Enterprise Data Support: Experience supporting data needs across Finance, HR, BD, and other corporate functions.
- Value Creation from Data: Demonstrated success in using data to drive business outcomes, such as improving site selection, patient recruitment, cost forecasting, or operational efficiency.
- Governance & Compliance: Experience implementing data governance in regulated environments, with knowledge of GxP, GDPR, and HIPAA.
- AI/ML Exposure: Familiarity with deploying or leveraging machine learning models in production, ideally within healthcare or clinical research settings.
- Application Integration: Experience integrating data from clinical systems such as Veeva Vault Clinical, CTMS, and EDC platforms, as well as ERP and HRIS systems.
- Other technical requirements: Proven success in building BI platforms (e.g., Power BI, Tableau) and enabling self-service analytics across business units; Experience utilizing Microsoft Fabric.
- Strategic Vision & Execution: Ability to align data initiatives with business goals and communicate effectively with technical and non-technical stakeholders.
- Team Leadership: Track record of building and leading high-performing data teams in fast-paced, mission-driven environments.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data architectureAzure data servicesETLELTdata modelingpredictive analyticsdata governancemachine learningbusiness intelligencedata pipelines
Soft skills
team leadershipstrategic visioncommunicationcollaborationproblem-solvingmentoringdata-driven decision-makingcontinuous improvementstakeholder engagementagility
