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Data Modernization Jobs in New York (NOW HIRING)

SmartIPlace

Technical Data Analyst

Jersey City, NJ · On-site

Support enterprise MDM implementation and modernization initiatives. * Perform data analysis, source-to-target mapping, reconciliation, and integration across multiple financial systems.

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Data Modernization information

What is the difference between Data Modernization vs Data Analyst?

AspectData ModernizationData Analyst
Primary FocusUpgrading and transforming data systems and infrastructureAnalyzing data to generate insights and reports
Skills RequiredData architecture, cloud platforms, database managementStatistical analysis, data visualization, SQL
Work EnvironmentIT departments, data engineering teamsBusiness units, analytics teams
CertificationsCloud certifications, data management certificationsData analysis, visualization certifications

Data Modernization involves upgrading data systems and infrastructure to improve efficiency and scalability, often requiring technical expertise in data architecture and cloud platforms. In contrast, Data Analysts focus on interpreting data, creating reports, and providing insights to support business decisions. While both roles work with data, their core responsibilities and skill sets differ significantly.

What are some common challenges faced by professionals working in data modernization projects?

Professionals in Data Modernization often encounter challenges such as integrating legacy systems with modern cloud-based solutions, ensuring data quality during migration, and managing data security and compliance. Additionally, they may need to collaborate closely with cross-functional teams to align business goals with technical requirements. Adaptability and strong communication skills are important, as priorities can shift rapidly in response to evolving business needs and technology updates.

What are the key skills and qualifications needed to thrive in data modernization?

To thrive in Data Modernization, you need strong expertise in data architecture, cloud platforms, and data migration, often supported by a degree in computer science or information systems. Familiarity with tools like Azure, AWS, Snowflake, ETL frameworks, and certifications such as AWS Certified Data Analytics or Microsoft Azure Data Engineer are commonly required. Excellent problem-solving, project management, and communication skills help professionals effectively lead transformation initiatives and collaborate with stakeholders. These skills are crucial for ensuring seamless migration, maximizing data value, and driving innovation within organizations.
What are popular job titles related to Data Modernization jobs in New York? For Data Modernization jobs in New York, the most frequently searched job titles are:
What job categories do people searching Data Modernization jobs in New York look for? The top searched job categories for Data Modernization jobs in New York are:
What cities in New York are hiring for Data Modernization jobs? Cities in New York with the most Data Modernization job openings:
Data Modernization jobs near you
Infographic showing various Data Modernization job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Project Manager - Wealth/Asset Management - Data Modernization

Pierce Technology Corp

New York, NY • On-site

$56.50 - $76.50/hr

Contractor

Re-posted 9 days ago

Job description

  • Lead and manage data modernization projects within wealth and asset management sectors, ensuring alignment with business goals and regulatory requirements.
  • Collaborate closely with data teams, technology partners, and business stakeholders to define project scope, schedules, and deliverables.
  • Develop and maintain comprehensive project plans, tracking progress, risks, and mitigation strategies.
  • Facilitate communication among cross-functional teams and provide regular updates to senior management and clients.
  • Ensure quality control and validation of data migration and modernization activities.
  • Identify opportunities for process improvements and implement best practices to enhance project outcomes.
  • Ensure compliance with industry standards and regulatory guidelines throughout the project lifecycle.

Requirements
  • 7+ years of project management experience, preferably within wealth or asset management data modernization initiatives.
  • Strong understanding of data management concepts, modernization strategies, and related technologies.
  • Experience working with data migration, ETL processes, and data governance frameworks.
  • Proficiency in project management tools and methodologies including Agile and Waterfall.
  • Excellent communication and stakeholder management skills, capable of engaging senior executives and technical teams.
  • Ability to manage multiple priorities in a fast-paced, dynamic environment.
  • PMP or equivalent project management certification is preferred.
  • Bachelor's degree in Finance, IT, Business, or related field; advanced degree is a plus.

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