Job Title: Data Processing & Operations Manager
Location: Remote role
Duration: 3 Plus Months
Responsibilities
- Lead onboarding of data integrations across multiple brands and data partners, collaborating with vendors and internal teams to define requirements and operationalize data feeds.
- Prioritize integration timelines, identify resourcing needs, and coordinate with OC/CI&A leads.
- Plan UAT, execute, and oversee production deployment with Data Engineering and business stakeholders.
- Support database integration efforts.
- Collaborate on developing analytical data layers and workfiles within enterprise data platforms.
- Review data models, provide guidance on requirements and data governance.
- Manage project planning, resource needs, UAT, and data gap resolution.
Operations
- Manage daily production activities, including file loads, scheduling, QC validation, and issue resolution.
- Maintain vendor communication for timely resolution of data issues.
- Coordinate with technical teams for support, upgrades, and environment management.
- Support automation and process improvements.
Data Quality
- Define test scenarios for new integrations and ongoing validation checks.
- Review validation results and escalate issues as needed.
Data Inquiry & Analysis
- Guide business analysts on data inquiries and issue resolution.
- Assist in interpreting promotional and omnichannel data for analytics.
Project Delivery
- Manage data processes and deliveries for marketing analysis and promotional exercises across brands.
- Facilitate project planning and cross-functional review meetings.
- Support dashboard development and integration into platforms like BI360.
Key Skills & Qualifications
- Project Management: Planning, prioritization, stakeholder coordination.
- Data Integration: Managing external data feeds.
- Technical Coordination: Working with data engineering on automation and platform upgrades.
- Quality Assurance: Data validation, QC, issue resolution.
- Communication: Managing vendor and team interactions.
- Analytical Thinking: Interpreting complex data, translating business needs.
- Promotional Data Expertise: Understanding promotional data sources and analytics.
- Automation & Scripting: Familiarity with Python is a plus.
- Tools & Platforms: Experience with CoDaP, BI360, CRM/email platforms.
Additional Details
- Seniority level: Mid-Senior level
- Employment type: Contract
- Job function: Project Management and IT
- Industry: Pharmaceutical Manufacturing