Data Processing and Operations Manager

The Planet Group; United States; Remote; Full time

Job summary

A leading company is seeking a Data Processing and Operations Manager to oversee data onboarding, integration, and operations. The role involves managing data quality, collaborating with cross-functional teams, and ensuring timely delivery of data solutions. Ideal candidates will have strong project management skills and experience in data integration and quality assurance. This remote position offers a competitive hourly rate and requires effective communication skills.

Qualifications

• Experience with onboarding and managing data feeds from external vendors.
• Proficiency in data validation, QC processes, and issue resolution.
• Familiarity with Python for data QC and automation tasks is a plus.

Responsibilities

• Lead onboarding of data integrations across multiple brands and data partners.
• Manage day-to-day production activities for live data providers.
• Provide guidance to business analysts on data inquiries and issue resolution.

Skills

Project Management

Data Integration

Technical Coordination

Quality Assurance

Communication

Analytical Thinking

Promotional Data Expertise

Automation & Scripting

Tools

CoDaP

BI360

AWS

Oracle

Tableau

Job description

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This range is provided by The Planet Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$70.00/hr - $75.00/hr

Direct message the job poster from The Planet Group

Sr. Recruiter @ The Planet Group | Connecting top talent in USA

W2 only - No 3rd party/C2C candidates

Duration - 3+ months - could go longer

Location - remote - EST hours

Position: Data Processing and Operations Manager

Day to day:

Data Onboarding

-Lead onboarding of data integrations across multiple brands and data partners.

- Collaborate with vendors and internal teams to define functional requirements and operationalize data feeds.

- Prioritize integration timelines and identify resourcing needs in alignment with OC/CI&A leads.

-Coordinate UAT planning, execution, and production deployment with Data Engineering (DE) and business stakeholders.

Database Integration

- Collaborate with cross-functional teams to support the development and implementation of analytical data layers and workfiles within enterprise data platforms.

- Review data models and provide guidance on functional requirements and data governance.

- Plan projects, identify resource needs, and coordinate UAT and data gap resolution.

Operations

- Manage day-to-day production activities for live data providers, including file loads and scheduling.

- Oversee QC validation and issue resolution across monthly and weekly files.

- Maintain vendor communication and ensure timely resolution of data delivery issues and inquiries.

- Coordinate with DE/Platform teams for technical support, production issues, and environment upgrades.

- Support automation and process optimization initiatives to improve efficiency and reliability.

Data Quality

-Define test scenarios for new integrations and convert them into ongoing quality validation checks.

-Review validation results and escalate issues as needed.

Data Inquiry & Analysis

-Provide guidance to business analysts on data inquiries and issue resolution.

-Support interpretation of promotional and omnichannel data for analytics and performance measurement.

Project Delivery

-Manage processes and data deliveries for Marketing Mix Analysis (MMA) and quarterly promotional targeting exercise across three brands.

-Facilitate project planning, media data requirement gathering, and cross-functional review meetings.

-Support development and integration of internal dashboards into platforms such as BI360.

Must haves:

* Project Management: Strong planning, prioritization, and coordination skills across multiple stakeholders and timelines.

* Data Integration: Experience with onboarding and managing data feeds from external vendors.

* Technical Coordination: Ability to work with data engineering teams on file automation, ingestion, and platform upgrades.

* Quality Assurance: Proficiency in data validation, QC processes, and issue resolution.

* Communication: Effective communicator with vendors and internal teams; skilled in managing cross-functional meetings.

* Analytical Thinking: Strong ability to interpret complex data structures, assess data requirements, and translate business needs into actionable data solutions.

*Promotional Data Expertise: Strong understanding of promotional data sources, structures, and their role in omnichannel marketing analytics and performance evaluation.

* Automation & Scripting: Familiarity with Python for data QC and automation tasks is a plus.

* Tools & Platforms: Experience with CoDaP, BI360, and CRM/email platforms (e.g., IQVIA) preferred.

* Tools & Platforms – AWS, Oracle, Commercial (Pharma) data structures, Tableau, Veeva, Syndicated Data providers (IQVIA and Symphony Health)

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  Pharmaceutical Manufacturing

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