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Data Delivery Jobs (NOW HIRING)

Big Data Engineer, Senior

Milwaukee, WI · On-site

$55 - $72.75/hr

Manage the end-to-end process of data deliveries to ensure timely, accurate, and secure data transfers to clients. Provide support and maintenance for data jobs to ensure their continuous and ...

Data Engineer II

Phoenix, AZ · On-site +1

$108K - $130K/yr

Assists with the development and delivery of data solutions, including data pipelines, API integration, and other structures and processes to support the data platform * Identifies, designs, and ...

Senior Data & Analytics Lead

Reading, PA · On-site

$64.50 - $86.50/hr

You will support our software developers, database architects, data analysts and data scientists on vital initiatives and ensure optimal data delivery architecture consistent throughout ongoing ...

Senior Data & Analytics Lead

Reading, PA · On-site

$64.50 - $86.50/hr

You will support our software developers, database architects, data analysts and data scientists on vital initiatives and ensure optimal data delivery architecture consistent throughout ongoing ...

Data Engineering Lead- Finance

Nashville, TN · On-site

$110K - $132K/yr

DPR Construction is a leading construction company committed to delivering high-quality, innovative projects. They are looking for a talented Data Engineer to develop robust data solutions that ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

The candidate will be responsible for ensuring the data pipelines implement data privacy standards, perform well with documented data delivery SLAs, and meet all compliance standards defined by the ...

Data Engineering Lead- Finance

Austin, TX · On-site

$113K - $136K/yr

DPR Construction is a leading construction company committed to delivering high-quality, innovative projects. They are looking for a talented Data Engineer to develop robust data solutions that ...

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Data Delivery information

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$46K

$165K

$243.5K

How much do data delivery jobs pay per year?

As of Jul 9, 2026, the average yearly pay for data delivery in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in Data Delivery, and why are they important?

To thrive in Data Delivery, you need a solid background in data analysis, data management, and project coordination, often supported by a degree in computer science, information systems, or a related field. Familiarity with data warehousing tools, ETL processes, SQL, and platforms like AWS or Azure is typically required, along with data governance certifications being advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with stakeholders and ensure accurate, timely delivery of data solutions. These skills are essential to manage complex data pipelines, drive data-driven decision-making, and support organizational goals.

What is the difference between Data Delivery vs Data Analyst?

AspectData DeliveryData Analyst
Required CredentialsTypically requires technical skills, certifications in data management or related fieldsRequires analytical skills, often a degree in statistics, mathematics, or related fields
Work EnvironmentOften involves collaboration with IT teams, data engineers, and project managersWorks closely with business units, creating reports and insights from data
Employer & Industry UsageCommon in tech, logistics, and data-driven industriesWidely used across finance, marketing, healthcare, and consulting

While Data Delivery focuses on the technical aspects of transferring and managing data, Data Analysts interpret and analyze data to provide actionable insights. Both roles are essential in data-driven organizations but serve different functions within the data lifecycle.

What is Data Delivery?

Data Delivery refers to the process of transporting data from one system, application, or environment to another in a reliable, secure, and timely manner. Professionals in data delivery ensure that relevant data reaches end-users or systems as needed, often using tools and protocols designed for data integration, migration, and distribution. This role is crucial in organizations that rely on data for decision-making, analytics, or operational processes. Effective data delivery helps maintain data accuracy, consistency, and availability across platforms.

What are some common challenges faced in a Data Delivery role, and how can they be addressed?

Professionals in Data Delivery often encounter challenges like managing data quality, ensuring timely delivery of datasets, and coordinating requirements across multiple stakeholders. It can be demanding to balance accuracy with speed, especially when handling large volumes of data from various sources. Open communication with data engineers, analysts, and business users, along with robust data validation processes, helps address these issues. Leveraging automated tools for data integration and monitoring can also significantly streamline workflows and reduce errors.
More about Data Delivery jobs
Infographic showing various Data Delivery job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Delivery Lead - Supply Chain

Data Delivery Lead - Supply Chain

Colgate-Palmolive

Piscataway, NJ • On-site

Full-time

Posted 28 days ago


Colgate-Palmolive rating

5.8

Company rating: 5.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz


Job description

Job Summary:
Colgate-Palmolive Company is a global consumer products company specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. They are seeking a Data Delivery Lead to drive the execution of data initiatives for their Supply Chain business unit, serving as the primary bridge between business stakeholders and technical engineering teams while managing complex data pipelines and analytics solutions.
Responsibilities:
• Technical Leadership & Oversight
• Technical Coordination: Coordinate technical resources, assign work to developers, and monitor daily progress. You are the first line of defense for removing technical blockers for the engineering team.
• Code & Quality Reviews: Act as the primary backup for the Data Architect on technical reviews. You are responsible for performing Pull Request (PR) and code reviews to ensure quality and adherence to platform standards.
• Pipeline Delivery: Ensure data pipelines are delivered according to business needs and platform standards. You will oversee the development lifecycle to ensure what is built matches the technical specifications.
• Platform Collaboration: Collaborate with the Data Architect and Platform teams to ensure development activities conform to architectural standards (Snowflake/dbt best practices).
• Execution Oversight: Oversee project timelines, milestones, key risks, and deliverables to ensure successful project completion.
• Multi-Project Leadership: Lead the delivery of multiple ongoing projects, ensuring alignment with program and organizational roadmaps.
• Risk Management: Proactively monitor risks, identify potential issues, and develop mitigation strategies to communicate effectively with project stakeholders.
• Methodology: Apply Agile project management concepts to ensure solutions delivered are aligned with business goals and deliver a good user experience.
• Data Delivery: Own delivery of data initiatives across demand & supply planning, inventory & working capital, procurement & supplier performance, manufacturing & capacity utilization, transportation, logistics, and order fulfillment
• Deliver trusted datasets and analytics for Inventory levels, OTIF, forecast accuracy, lead time, fill rate, and cost-to-serve, supplier spend efficiency, metrics etc.,
• Lead data delivery across core supply chain systems, including but not limited to ERP (SAP S/4HANA, ECC, Oracle), Planning tools (Kinaxis, o9, Blue Yonder, SAP IBP), WMS, TMS, MES, Ariba and supplier systems.
• Point of Contact: Serve as the single point of contact for assigned Supply Chain data initiatives regarding all data engineering and delivery needs.
• Client Relationships: Maintain strong client relationships through regular communication and meetings, ensuring expectations are met or exceeded.
• Translation: Translate business needs into technical requirements and long-term scalable solutions.
• Facilitation: Facilitate communication and collaboration between business teams and data engineers.
• Resource Allocation: Evaluate requirements and allocate resources based on priorities, availability, and expertise.
• Consultant Oversight: Manage Data Engineering Consultants across internal teams, monitoring their performance, utilization, and project progress.
• Conflict Resolution: Mediate any issues or challenges between consultants, technical teams, and project stakeholders.
• Best Practices: Enforce standards, policies, and procedures for data engineering practices to ensure consistency.
• Compliance: Ensure data pipelines and solutions are developed per aligned standards.
• Technical Alignment: Enforce best practices for data ingestion and ensure the team adheres to the standard internal stack.
Qualifications:
Required:
• Bachelor's degree in Computer Science, Information Technology, Mathematics, Engineering, or a related field.
• 8+ years of hands-on experience working with data engineering tools such as Snowflake, dbt, SQL, Airflow, Python, GitHub, Sigma and Domo
• 3+ years leading delivery for Supply Chain operational analytics
• Strong understanding of supply chain processes and KPIs (forecast accuracy, OTIF, inventory turns, lead times, supplier spend efficiency etc)
• Experience integrating data from ERP and supply chain execution systems
• Proficiency in Data Modeling, Data Warehousing, and Pipeline building (to support technical oversight).
• Proven experience in project management and program management, fostering collaboration across cross-functional teams.
Preferred:
• Experience with SAP, Oracle, or leading planning platforms (Kinaxis, o9, Blue Yonder)
• Exposure to advanced analytics / optimization / AI use cases in supply chain
• Master’s Degree.
• Background in consumer packaged goods (CPG) or Supply Chain.
• Experience working in a federated data environment.
• Experience managing the design and delivery of highly technical and complex platforms.
• Strong leadership qualities with the ability to prioritize and balance competing needs from various stakeholder groups.
• Excellent communication skills with the ability to gather and relay information and timelines to the organization.
• Advanced understanding of an organization’s strategic initiatives and objectives.
• Ability to manage complexity to provide customers with simple solutions.
Company:
Make More Smiles. Founded in 1806, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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About Colgate-Palmolive

Sourced by ZipRecruiter

Colgate-Palmolive is a leading global consumer products company, tightly focused on Oral Care, Personal Care, Home Care and Pet Nutrition. Colgate sells its products in over 200 countries and territories around the world under such internationally recognized brand names as Colgate, Palmolive, elmex, Tom's of Maine, Sorriso, Speed Stick, Lady Speed Stick, Softsoap, Irish Spring, Protex, Sanex, Elta MD, PCA Skin, Ajax, Axion, Fabuloso, Soupline and Suavitel, as well as Hill's Science Diet and Hill's Prescription Diet.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1806

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