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Metadata Manager Jobs in Connecticut (NOW HIRING)

WWE

Product Manager

Stamford, CT · On-site

Maintain and evolve the data catalogue for your products, ensuring metadata, lineage, and ... Manage project budgets and resources, ensuring alignment with financial objectives. * Take part in ...

New

TKO Group Holdings, Inc.

Product Manager

Stamford, CT · On-site

Maintain and evolve the data catalogue for your products, ensuring metadata, lineage, and ... Manage project budgets and resources, ensuring alignment with financial objectives. * Take part in ...

New

ASSA ABLOY

Sr. Data Governance Engineer

New Haven, CT · On-site

Operationalize core governance processes including data steward onboarding, glossary management, access approvals, and policy enforcement. * Develop and maintain metadata assets such as business ...

New

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All JobsMetadata Manager JobsMetadata Manager Jobs in Connecticut

Metadata Manager information

See Connecticut salary details

$26.2K

$77.7K

$130.8K

How much do metadata manager jobs pay per year?

As of Jun 17, 2026, the average yearly pay for metadata manager in Connecticut is $77,698.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,600.00 and $110,800.00 per year, depending on experience, location, and employer.

What is the difference between Metadata Manager vs Data Analyst?

AspectMetadata ManagerData Analyst
Required CredentialsBachelor's degree in Information Science, Data Management, or related field; certifications like CDMPBachelor's degree in Statistics, Data Science, or related field; certifications like CAP or Microsoft Data Analyst
Work EnvironmentData management teams, IT departments, data governance officesBusiness units, analytics teams, reporting departments
Employer & Industry UsageUsed in organizations with large data repositories, data governance, and compliance needsUsed across industries for data-driven decision making, reporting, and insights

While both roles involve working with data, a Metadata Manager focuses on organizing, maintaining, and ensuring the quality of metadata to improve data accessibility and governance. A Data Analyst interprets data to generate insights and support business decisions. Understanding these differences helps organizations assign the right roles for their data needs.

How does a Metadata Manager typically collaborate with other departments within an organization?

A Metadata Manager frequently works cross-functionally with departments such as IT, data governance, business intelligence, and compliance to ensure consistent data definitions and standards. This role involves facilitating communication between technical teams and business stakeholders to align data cataloging practices with organizational goals. Metadata Managers often lead training sessions, develop documentation, and help teams understand the importance of metadata quality, making collaboration and strong interpersonal skills key parts of the job.

What are the key skills and qualifications needed to thrive as a Metadata Manager, and why are they important?

To thrive as a Metadata Manager, you need strong expertise in data management, metadata standards, taxonomy, and information architecture, typically supported by a related degree in library science, information management, or computer science. Familiarity with metadata management tools (e.g., Collibra, Informatica), data catalog systems, and knowledge of data governance frameworks is essential. Attention to detail, analytical thinking, and effective communication are critical soft skills for collaborating with stakeholders and ensuring data quality. These skills and qualifications are crucial for organizing, standardizing, and maximizing the value of organizational data assets.

What are Metadata Managers?

Metadata Managers are professionals responsible for organizing, maintaining, and overseeing the metadata that describes data assets within an organization. Their role ensures that information about data—such as its source, format, ownership, and usage—is accurately recorded and easily accessible. This helps improve data governance, enables efficient data retrieval, and supports compliance with data regulations. Metadata Managers often collaborate with IT, data governance, and business teams to implement metadata standards and tools.
What are the most commonly searched types of Metadata jobs in Connecticut? The most popular types of Metadata jobs in Connecticut are:
What are popular job titles related to Metadata Manager jobs in Connecticut? For Metadata Manager jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Metadata Manager jobs in Connecticut look for? The top searched job categories for Metadata Manager jobs in Connecticut are:
What cities in Connecticut are hiring for Metadata Manager jobs? Cities in Connecticut with the most Metadata Manager job openings:
Metadata Manager jobs near you
Senior Data Engineer, Growth, Insights & Analytics

Senior Data Engineer, Growth, Insights & Analytics

Edgewell Personal Care Brands, LLC

Shelton, CT • On-site

$106K - $144K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 9 days ago

Edgewell Personal Care rating

8.2

Company rating: 8.2 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

Job description

Edgewell is a global team of over 6,700 visionaries, doers and makers. Our secret is people, and we have an inspiring and collaborative global force of them. Our portfolio of over 25 brands touches lives in more than 50 countries by making useful things joyful. Together, we reimagine good mornings and endless summers, strive for more sustainable ways to beautify and bond, and do it all with not only confidence but determination.
Here's what we are looking for:
Reporting to the Sr Director, Media Analytics, the Sr Data Engineer is responsible for building and scaling the data infrastructure that enables insights, analytics, and decision-making across Edgewell's portfolio of brands. This role will lead the development of modern, cloud-based data platforms and pipelines that unify complex data sources (e.g., retail POS, syndicated data, retail media, e-commerce, and supply chain) into a trusted, accessible foundation for the organization.
This individual should have a passion for building scalable data solutions that drive business impact. The ideal candidate is a self-starter and able to communicate with and work across multiple teams. This role requires both strong technical expertise and the ability to translate business needs into actionable data solutions that support brand growth, digital commerce, and retail media effectiveness. In this role as lead developer, the majority of data streams and ETL work will be accomplished leveraging SQL and Python within current stack (Azure, Snowflake, dbt, PowerBI).
This position will have a hybrid (3x/week) at either our Shelton, CT or NYC office
Key Responsibilities
Cloud Data Infrastructure & Platform Engineering
    • Lead and own the design, development, and optimization of scalable cloud-based data pipelines and architectures (AWS, Azure, or GCP) to support enterprise analytics, reporting, and data science initiatives
    • Build and manage a modern data platform (lakehouse architecture) leveraging technologies such as Snowflake, Databricks, Redshift, or BigQuery, enabling high-performance analytics and data accessibility
    • Collaborate with IT and Architecture teams to align on cloud strategy, data infrastructure, and enterprise technology roadmaps

Data Integration & Media Analytics Enablement
    • Integrate and manage diverse data sources, including retailer POS, syndicated data (e.g., Nielsen/Circana), e-commerce, ERP systems, and retail media platforms (e.g., Amazon Marketing Cloud, Walmart Luminate, Kroger Precision Marketing)
    • Develop and optimize pipelines for ingesting and transforming retail media, digital advertising, and campaign performance data (e.g., Amazon Ads, DSP, paid search, social platforms)
    • Develop scalable and reusable data models, APIs, and curated datasets to support self-service analytics and business intelligence tools (e.g., Power BI)

Data Governance, Quality & Advanced Capabilities
    • Ensure high standards of data quality, governance, security, and privacy compliance, implementing monitoring, metadata management, and lineage trackingContinuously evolve data engineering capabilities, including adoption of real-time/streaming pipelines (Kafka, Spark Streaming), automation frameworks, and AI-ready data infrastructure

Required Education, Skills and Experience
  • Bachelor's degree required; advanced degree preferred
  • 6-8+ years of experience in Data Engineering, Data Platforms, or a related technical field
  • Experience designing and building cloud-native data pipelines and architectures (ETL/ELT)
  • Strong proficiency in SQL and Python (or similar languages such as Scala or Java)
  • Hands-on experience with cloud platforms (AWS, Azure, or GCP) and modern data stack tools including Snowflake, Databricks, Airflow, dbt, Fivetran, or similar
  • Experience working with API-based data ingestion and integration frameworks, particularly for digital media and retail platforms
  • Demonstrated ability to transform complex, high-volume data into clean, scalable, and usable datasets
  • Experience implementing data governance, quality frameworks, and observability tools
  • Strong communication and stakeholder management skills, with the ability to translate technical concepts into business-friendly language
  • Familiarity with CPG and omnichannel data ecosystems, including retailer POS, syndicated data (IRI/Nielsen/Circana), and digital commerce data sources
  • Hands-on experience with retail media and advertising data platforms, including: Amazon Marketing Cloud (AMC); Amazon Ads / DSP; Walmart Luminate, Kroger Precision Marketing, or CitrusAd (Criteo Retail Media); Paid media platforms (Google, Meta, TikTok)
  • Experience enabling MMM, retail media measurement, or marketing analytics use cases
  • Knowledge of data modeling techniques for marketing, media, and commercial analytics
  • Experience with real-time or streaming data pipelines (Kafka, Spark, or similar)

Edgewell Values and Behaviors
We are seeking teammates who put People First by building relationships and fostering inclusivity, are ready to Move Forward through innovation and decisive action, embrace Listen Up, Speak Up by encouraging open dialogue and feedback, and are committed to Own It, Together by driving results through collaboration and accountability.
The EPC Insights and Analytics Team and Culture
We are a high-performing, collaborative team who bring the voice of the consumer, shopper and customer into our business and make a tangible business impact. We are developing cutting edge data, analytics and AI tools that give a significant competitive advantage. We foster a supportive team atmosphere to amplify individual strengths and curiosity. We value a diversity of talent, experiences, and backgrounds to expand our team culture.
Work Environment (Hybrid)
This role follows a hybrid work model with regular presence in the Shelton, CT corporate office and/or in the NY, NY office 3 days / week. Occasional travel may be required for key business meetings or enterprise collaboration.
This description is based on management's assessment of the requirements and functions of the job as of the date this description was prepared. It is a general guideline for managers and employees, but it does not purport to be an exhaustive list of all the elements of the job. Management reserves the right to modify the description at any time, or to vary the duties and responsibilities of the job on a temporary or indefinite basis to meet production, scheduling, or staffing needs.
The salary range for this position is $112,000-$168,000 Compensation for this position varies based on a range of equal opportunity factors, including but not limited to role scope, level of experience, relevant skills, education and credentials, external and internal benchmarks for equivalent roles and experience, business sector, and geographic location. Compensation decisions are based on the specific facts and circumstances of each case. In addition to base salary, the total rewards package may also include, for eligible roles, bonus, and long-term Incentive. Edgewell offers competitive employee benefits, including medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Your Talent Acquisition Partner can provide additional details regarding total rewards offerings and the applicable salary range for the relevant location(s) during the hiring process.
#LI-DR1
Edgewell is an equal opportunity employer. We do all we can to create a collaborative and diverse global team, where good ideas can thrive, and our colleagues can learn and lead. We prohibit discrimination based on age, color, disability, marital or parental status, national origin, race, religion, sex, sexual orientation, gender identity, veteran status or any legally protected status in accordance with applicable federal, state and local laws. We listen deeply and speak directly to create an environment that's open to difference. We aim to bring joy to not only the products we create and the people we serve, but our colleagues across the globe too.

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