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Data Management Project Manager Jobs in New York

Data and Analytics Job Subfunction: Data Science and Analytics TEAM DESCRIPTION The Data Operations ... Project & Process Management: Manage projects from requirements definition to completion, ensuring ...

Data and Analytics Job Subfunction: Data Science and Analytics TEAM DESCRIPTION The Data Operations ... Project & Process Management: Manage projects from requirements definition to completion, ensuring ...

Data Project Manager

New Brunswick, NJ · On-site

$53.50 - $72.25/hr

What you will bring: • 2-6 years of experience in IT project management, program coordination or ... data management Education: * Bachelor's or Master's degree in Computer Science, Software ...

Stay current on best practices in data governance, data management, cloud technologies, and responsible AI. Required Qualifications * Experience in technical project management, data operations ...

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Data Management Project Manager information

What is a data management project manager?

Data Management Project Managers are professionals responsible for overseeing projects related to the collection, storage, organization, and use of data within an organization. They coordinate teams, set project goals, manage timelines, and ensure that data management initiatives meet business requirements and compliance standards. Their role often involves collaborating with IT staff, data analysts, and stakeholders to deliver projects such as database implementations, data migrations, or the establishment of data governance processes.

How does a data management project manager typically collaborate with cross-functional teams during a project?

A Data Management Project Manager works closely with data analysts, IT specialists, business stakeholders, and external vendors to ensure project objectives are met. Collaboration often involves leading regular meetings, coordinating tasks, and facilitating communication between technical and non-technical team members. They also translate business needs into technical requirements, resolve data-related issues, and ensure data governance standards are upheld throughout the project. This collaborative approach helps ensure data quality, compliance, and project success.

What are the key skills and qualifications needed to thrive as a data management project manager, and why are they important?

To thrive as a Data Management Project Manager, you need expertise in data governance, project management methodologies, and a solid understanding of database systems, typically supported by a bachelor's degree in a related field and PMP or similar certification. Familiarity with tools such as SQL, data visualization platforms (like Tableau or Power BI), and project management software (such as MS Project or Jira) is highly valuable. Strong leadership, problem-solving, and communication skills enable effective cross-functional collaboration and stakeholder management. These skills and qualities are crucial for delivering data projects on time, ensuring data integrity, and supporting organizational decision-making.

What is the difference between Data Management Project Manager vs Data Analyst?

AspectData Management Project ManagerData Analyst
Primary FocusOverseeing data projects, managing teams, ensuring data governanceAnalyzing data sets, generating reports, providing insights
Required SkillsProject management, data governance, communicationStatistical analysis, data visualization, SQL
CertificationsPMP, Certified Data Management Professional (CDMP)Microsoft Excel, SQL certifications, Tableau
Work EnvironmentProject teams, cross-departmental collaborationData analysis tools, reporting platforms

The Data Management Project Manager focuses on leading data projects and managing teams, while the Data Analyst concentrates on analyzing data to generate insights. Both roles require data-related skills but serve different functions within organizations.

What cities in New York are hiring for Data Management Project Manager jobs?

Cities in New York with the most Data Management Project Manager job openings:

Manager, Data Management

New York, NY • On-site

Omnicom
Telecommunications • 1 - 10 employees

Full-time

Re-posted 3 days ago


Key responsibilities

  • Oversee the integrity and quality of data generated throughout campaign delivery and optimization lifecycles.

  • Manage projects related to data strategies, technical solutions, and data governance processes from requirements to completion.

  • Provide oversight of digital media buys and data flows to ensure processes are followed and activities meet organizational standards.


Job description

Agency:
Omnicom Media
Job Function:
Data and Analytics
Job Subfunction:
Data Science and Analytics
Job Description:
TEAM DESCRIPTION
The Data Operations team provides oversight of the data generated throughout the campaign delivery and performance optimization throughout its lifecycle. They will also work with other internal practice teams of Digital Analytics, Planning, and Digital Investment. You will provide oversight of all digital media buys to ensure that they are following process, purchased, and inputted according to organizational standards. This role requires a strong familiarity with all available analytics and technology tools, both syndicated and proprietary. Candidate must have a mindset towards fostering processes through automation.
ROLE SUMMARY
The Manager, Data Management, is responsible for guiding the development, oversight, and execution of data-driven solutions and business intelligence across marketing and media activities. This role acts as a strategic link among Digital Media, Marketing Sciences, and offshore technology teams-ensuring optimized campaign delivery and performance through all phases of campaign management. The ideal candidate combines technical acumen, an eye for process automation and data governance, and strong organizational and leadership skills, consistently driving innovation and operational excellence for internal teams and external clients.
JOB DESCRIPTION
Strategic Data Leadership: Develop, implement, and maintain scalable data strategies, technical solutions, and data governance processes to address unique business challenges and account objectives.
Team & Stakeholder Collaboration: Serve as the liaison among internal digital, marketing science, analytics, investment teams, offshore resources, and external partners to ensure cohesive data integration, campaign tracking, and project alignment.
Project & Process Management: Manage projects from requirements definition to completion, ensuring clear communication, timely delivery, and resolution of roadblocks through project management best practices and platforms.
Data Operations & Quality Assurance: Oversee the integrity and quality of data generated throughout campaign delivery and optimization lifecycles. Lead efforts in data harmonization, cleansing, QA, and reconciliation to ensure flawless performance tracking and reporting.
Campaign Oversight: Provide oversight of digital media buys and data flows, ensuring processes are followed and all activities meet organizational and industry standards across programmatic, digital, search, social, and offline media channels.
Innovation & Automation: Drive adoption of the latest data operations methodologies and leverage automation to increase efficiency and data accuracy within operational processes.
Mentorship & Leadership: Provide guidance and oversight to team members, promote a collaborative and positive team environment, and champion continuous learning and professional development.
SKILLS & EXPERIENCE
3-5 years' experience in data management, data engineering, data operations and/or business intelligence
1-3 years' experience in an advertising agency environment (analytics, ad operations, marketing sciences, digital investment, business analysis preferred)
3-5 years' experience in digital media data (ad server, search, social, video, offline, etc.), data governance, and quality processes in data warehousing or ETL environments
2+ years' experience in client-facing roles and managing project teams (including offshore is a plus)
In-depth knowledge of processes across multiple media channels; comfort with diverse dataset types (paid, owned, etc.)
Familiarity with campaign management and performance optimization processes
Strong attention to detail and ability to identify and resolve data anomalies
Advanced verbal, written, organizational, and project management skills; comfortable juggling multiple priorities
Excellent collaboration and interpersonal skills with a proactive approach to problem-solving
Experience in process automation/continuous improvement initiatives
TOOLS
Business Intelligence: Advanced Excel (required), Tableau, PowerBI, Datorama, Looker/Looker Studio, Domo, PowerPoint
Data Management & Transformation: ETL Tools (Adverity, Datorama), Alteryx, SQL (preferred), Python (nice to have)
Data Storage/Cloud: Snowflake, AWS (Redshift, S3), Starburst.io, Datorama, Domo
Media Platforms: DCM, DV360, Google Ads, DoubleVerify, IAS, TradeDesk, Facebook, Instagram, Snapchat, Twitter, TikTok, Prisma
Project Management: HIVE, Asana, Smartsheet, Microsoft Teams
Media Planning: MediaTools, Lumina, Hudson (bonus)90,000.00 - 110,000.00
Omnicom's policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom's corporate group already require five days of in-office attendance.
Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we're focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us-we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.
Link to Recruitment Privacy Notice: https://www.omc.com/privacy-notice
For US Job Seekers:
It is the policy of Omnicom and any of its affiliates to provide equal employment opportunities to all employees and applicants for employment without regard to race, religion, color, ethnic origin, gender, gender identity, age, marital status, veteran status, sexual orientation, disability, or any other basis prohibited by applicable federal, state, or local law. EOE/AA/M/D/V/F.