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Remote Data Migration Project Manager Jobs in Delaware

Agilent

SAP ECC/S4 HANA FICO Functional Lead

Wilmington, DE · On-site +1

$116K - $195K/yr

... project and stakeholder management. Key Responsibilities * Lead end-to-end design, work on detailed ... Drivedata migration,cutover planning, andsystem testingfor ECC to S/4 transitions. * Solve complex ...

Hologic Inc.

Program Director, R&D PMO

Newark, DE · On-site +1

$170K - $303K/yr

Open to remote work with 25% travel. As Program Director, R&D PMO , you will provide strategic program management and operational leadership for the execution of high-impact programs, guiding them ...

ChristianaCare

Coder III - Remote

Newark, DE · On-site +1

Abstracts pertinent data, determines, and sequences codes for diagnoses and procedures, and enters ... Supports the Coding Management team by working on special coding projects as assigned. * Works with ...

WSFS Bank

IT Audit Manager

Wilmington, DE · Remote

... Remote Deposit Capture (RDC), Vendor Management processes, and System Development Life Cycle (SDLC ... Evaluate technologies supporting cloud platforms, SaaS solutions, and data environments. * Provide ...

Wsfsbank

IT Audit Manager

Wilmington, DE · Remote

... Remote Deposit Capture (RDC), Vendor Management processes, and System Development Life Cycle (SDLC ... Evaluate technologies supporting cloud platforms, SaaS solutions, and data environments. * Provide ...

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Remote Data Migration Project Manager information

What are the key skills and qualifications needed to thrive as a Remote Data Migration Project Manager, and why are they important?

To thrive as a Remote Data Migration Project Manager, you need strong project management skills, experience with data migration processes, and a relevant degree such as in IT or computer science. Familiarity with tools like Microsoft Project, data integration platforms, cloud services, and certifications like PMP or Agile are typically required. Exceptional organizational, communication, and problem-solving abilities are vital for coordinating remote teams and managing stakeholders. These competencies ensure seamless data transitions, minimize risks, and deliver successful project outcomes in a distributed work environment.

What does a Remote Data Migration Project Manager do?

A Remote Data Migration Project Manager is responsible for planning, coordinating, and overseeing the process of transferring data from one system or platform to another, all while working remotely. They ensure that data is accurately and securely migrated without loss or corruption, managing timelines, budgets, and communication between technical teams and stakeholders. Their role involves risk assessment, troubleshooting issues, and documenting the migration process to ensure business continuity. As remote managers, they utilize virtual collaboration tools to coordinate teams and keep projects on track, regardless of location.

What is the difference between Remote Data Migration Project Manager vs Remote Data Analyst?

AspectRemote Data Migration Project ManagerRemote Data Analyst
Required CredentialsProject management certifications (e.g., PMP), data management knowledgeData analysis certifications (e.g., CAP, Microsoft Certified Data Analyst)
Work EnvironmentOversees migration projects, coordinates teams, manages timelinesAnalyzes data sets, creates reports, supports decision-making
Employer & Industry UsageIT, consulting, enterprise organizationsBusiness intelligence, finance, healthcare
Common Search & Comparison IntentUnderstanding project management roles in data migrationUnderstanding data analysis roles in data projects

The Remote Data Migration Project Manager focuses on planning, coordinating, and executing data migration projects, ensuring timely delivery and stakeholder communication. In contrast, the Remote Data Analyst primarily analyzes data to generate insights and support business decisions. While both roles work with data, the project manager emphasizes project oversight, whereas the analyst emphasizes data interpretation.

What are some common challenges faced by a Remote Data Migration Project Manager, and how can they be effectively managed?

As a Remote Data Migration Project Manager, you may encounter challenges such as coordinating across distributed teams, managing data security during transfers, and ensuring minimal downtime for stakeholders. Effective communication, robust project planning tools, and regular status updates are essential for aligning team members and maintaining project momentum. Additionally, thorough risk assessment and contingency planning help address unexpected technical issues or data integrity concerns, ensuring a smoother migration process.
What are popular job titles related to Remote Data Migration Project Manager jobs in Delaware? For Remote Data Migration Project Manager jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Remote Data Migration Project Manager jobs in Delaware look for? The top searched job categories for Remote Data Migration Project Manager jobs in Delaware are:
What cities in Delaware are hiring for Remote Data Migration Project Manager jobs? Cities in Delaware with the most Remote Data Migration Project Manager job openings:
Remote Data Migration Project Manager jobs near you

VP of Data Science (Remote)

Forbes Advisor

Wilmington, DE • On-site, Remote

Full-time

Posted 8 days ago

Job description

At Forbes Advisor, our mission is to help readers turn their aspirations into reality. We arm people with trusted advice and guidance so they can make informed decisions they feel confident in and get back to doing the things they care about most.
We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Forbes Advisor boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Forbes Advisor's global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel.
Our Data & Analytics organisation builds the products, platforms and intelligence that power every marketing, product and commercial decision across the business. We're looking for a Data Science leader who believes machine learning only creates value when it changes business decisions.
This is an opportunity to build and lead a commercially driven Data Science function that delivers measurable improvements in customer acquisition, marketing performance and long-term business growth.
You'll lead a growing team of Data Scientists while partnering closely with Engineering, Analytics, Product and Commercial teams to ensure predictive models become trusted, production-ready products that drive measurable commercial outcomes. As we continue investing in first-party data, AI, machine learning and advanced marketing measurement, we're looking for an experienced Data Science leader to help shape the next phase of our commercial Data Science capability.
Responsibilties:
  • Commercial Data Science: Lead the strategy and delivery of predictive models that improve customer acquisition, marketing performance and long-term commercial value. You'll shape capabilities including lifetime value modelling, propensity modelling, customer segmentation, forecasting and value-based bidding, ensuring every model is linked to measurable business outcomes.
  • Marketing Science & Decision Science: Partner with Marketing, Product and Commercial teams to apply Data Science to real business problems. You'll help define how predictive analytics, experimentation and AI improve campaign performance, customer understanding and strategic decision making across platforms including Google and Meta.
  • Production Data Science: Work closely with Engineering and ML Ops to ensure models become reliable, production-ready products rather than one-off analyses. You'll champion reproducible experimentation, scalable deployment, model monitoring, retraining strategies and continuous improvement throughout the model lifecycle.
  • Leadership & Stakeholder Management: Lead and develop a growing team of Data Scientists while building trusted relationships across the business. You'll translate complex modelling into clear commercial recommendations, influence senior stakeholders through evidence, and help establish Data Science as a trusted driver of business strategy and commercial growth.
  • Innovation & Industry Leadership: Represent Forbes in strategic conversations with technology partners including Google and Meta while staying connected to advances in AI, machine learning and marketing science. You'll evaluate emerging technologies, bring new ideas into the organisation and help ensure our Data Science capability remains commercially relevant and technically leading.

Qualifications:
  • Experience leading commercial Data Science, Marketing Science or Decision Science teams.
  • Strong expertise in predictive analytics, customer analytics, machine learning and statistical modelling.
  • Experience applying Data Science to marketing performance, customer acquisition, lifetime value or value-based bidding.
  • Experience productionising machine learning solutions within modern cloud environments and working closely with Engineering and ML Ops teams.
  • Strong understanding of SQL, Python and modern machine learning frameworks.
  • Experience working with Google Ads, Meta or other major advertising platforms.
  • Excellent stakeholder management and communication skills, with the ability to influence both technical and commercial audiences.
  • Experience building and developing high-performing Data Science teams.
  • Strong commercial judgement, balancing technical excellence with measurable business impact.
  • A pragmatic approach to AI, applying emerging technologies where they create genuine commercial value.

Nice to Have
  • Experience within affiliate marketing, digital publishing or lead-generation businesses.
  • Experience working in financial services, insurance or regulated industries.
  • Experience working directly with Google or Meta Data Science teams.
  • Experience with attribution modelling and marketing measurement.
  • Experience building optimisation algorithms for DSPs or advertising platforms.
  • Experience with causal inference, experimentation frameworks or incrementality testing.
  • Experience forecasting marketing or commercial performance.
  • Experience with Vertex AI or equivalent cloud-based machine learning platforms.

Forbes Advisor provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
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