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Manager Data Analytics Engineer Jobs in Connecticut

Pwc

Data Engineer - Senior Associate

Hartford, CT · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

Pwc

Data Engineer - Senior Associate

Stamford, CT · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

Pwc

Data Strategy-Manager

Stamford, CT · On-site

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Pwc

Data Strategy-Manager

Hartford, CT · On-site

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

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All JobsData Analytics Engineer JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in Connecticut

Manager Data Analytics Engineer information

What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

How does a manager data analytics engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

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

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is a manager data analytics engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.
What are the most commonly searched types of Data Analytics Engineer jobs in Connecticut? The most popular types of Data Analytics Engineer jobs in Connecticut are:
What are popular job titles related to Manager Data Analytics Engineer jobs in Connecticut? For Manager Data Analytics Engineer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Manager Data Analytics Engineer jobs in Connecticut look for? The top searched job categories for Manager Data Analytics Engineer jobs in Connecticut are:
What cities in Connecticut are hiring for Manager Data Analytics Engineer jobs? Cities in Connecticut with the most Manager Data Analytics Engineer job openings:
Manager Data Analytics Engineer jobs near you
Infographic showing various Manager Data Analytics Engineer job openings in Connecticut as of June 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Manager, Data Product Management

The Walt Disney Company

Bristol, CT • On-site

Full-time

Re-posted 14 days ago

Walt Disney Company rating

7.7

Company rating: 7.7 out of 10

Based on 128 frontline employees who took The Breakroom Quiz

5th of 51 rated entertainment

Job description

Job Posting Title:

Manager, Data Product Management

Req ID:

10153173

Job Description:

The Data Product team is seeking a Manager, Data Product Management to lead instrumentation across the News & Entertainment portfolio of digital products from world-renowned brands such as ABC, ABC News, Marvel, Freeform, FX, and National Geographic, among others. The data collection this team leads is the foundation for measurement across the portfolio - the clickstream telemetry and video consumption signal thatdeterminewhat the business knows about product engagement and content performance.It'show some of the world's most recognizable brands understand how their content is consumed, which means ithas tohold up when decisions get made - and building data the business can trust is at the heart of the work.

You'lllead a team of Data Product Managers owning measurement strategy, platform configuration, and self-service enablement across the portfolio's digital and audience-measurement tools - consistently keeping the business on the right stack and evaluating emerging capabilities.You'llbe the primary point of contact for senior leaders across both Product & Technology and the Disney Entertainment business, set a clear standard for rigorous measurement work, andownthe roadmap for how data collection evolves across the portfolio. Ifyou'veheld measurement quality across a complex multi-brand portfolio,stayedtechnical enough to catch what others miss, andstayedahead of where measurement is heading rather than just reacting to it,we'dlike to hear from you.

Responsibilitiesand Dutiesof the Role:

  • Lead and develop the team, setting the standard for N&E measurement and raising the bar across Product & Technology.

  • Collect with intent - building the data foundation for intelligence about how the business's products and content perform.

  • Own and evolve N&E measurement strategy across editorial, video, and audience measurement, sequencing multi-brand priorities and evaluating emerging capabilities.

  • Drive execution across brands, resolving cross-team dependencies and staying ahead of delivery risk.

  • Bring the technical depth to hold the team to a high bar - pressure-testing implementations, event and schema specs, and quality standards across the measurement stack.

  • Own data quality outcomes across the portfolio, closing coverage gaps before downstream teams do.

  • Ensure stakeholder needsbecomemeasurement specs and platform configurations that scale across brands, increasingly AI-assisted and built with engineering.

  • Serve as the single point of contact for senior leadership across N&E's brands, translating their priorities into measurement direction.

  • Partner with Data Engineering, Product Engineering, Product Management, and Business Operations across the N&E portfolio.

  • Manage relationships with enterprise platform partners, ensuring Disney realizes the full value of those investments.

  • Represent the team's strategy to senior leaders across the company.

Basic Qualifications

  • 8+ years in data product management, data instrumentation, or digital analytics implementation.

  • Direct experience leading and developing teams in instrumentation, analytics, or measurement, accountable for both performance and the team's standards.

  • Fluency with AI tools in your own work, anda track recordof raising that bar across your team.

  • Deepexpertiseacross enterprise analytics and instrumentation platforms - capable of setting the standard for how the work gets done, not just overseeing it.

  • Strong product sense:you'veowned strategy and roadmap for a measurement product or portfolio with clear outcome accountability.

  • Proven ability torepresentmeasurement priorities, tradeoffs, and risks to senior stakeholders across a multi-brand portfolio.

  • Track recordof cross-functional execution across Product Engineering, Product Management, Analytics, QA, Research, and Program teams in matrixed organizations.

  • Strong command of the modern cloud data stack and how instrumented data flows downstream.

  • Clear communicator who can make complex technical topics accessible and actionable for any audience, including executives.

Preferred Qualifications

  • Experience leading measurement for News, Media, or content-driven digital products at scale: editorial, video, audience measurement, or content performance analytics.

  • Experience managingmeasurementacross a multi-brand or multi-property portfolio with shared quality standards.

  • Data observability experience: monitoring platforms and pipelines for quality, freshness, schema drift, and completeness.

  • Strong understanding of data governance, privacy, and compliance (GDPR, CCPA) in consumer-facing products.

  • Experience enabling self-service analytics across a large organization.

  • Advanced degree in Product Management, Computer Science, Information Systems, Data Science, or a related field, or equivalent practical experience.

Required Education

Bachelor's degree in Computer Science, Engineering, Business, Analytics, or a related field, or equivalent practical experience.

#Disneytech

The hiring range for this position in New York City, NY is $179,700 - $241,000 per year, in San Francisco, CA is $187,900 - $252,000 per year, and in Santa Monica, CA and Bristol, CT is $171,600 - $230,100 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Job Posting Segment:

Commerce, Data & Identity

Job Posting Primary Business:

CGI - Data Product

Primary Job Posting Category:

Product Management Tech

Employment Type:

Full time

Primary City, State, Region, Postal Code:

New York, NY, USA

Alternate City, State, Region, Postal Code:

Date Posted:

2026-06-25

What Walt Disney Company employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Walt Disney

Sourced by ZipRecruiter

At Disney, we're storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. "We create happiness." That's our motto at Walt Disney Parks and Resorts. And it permeates everything we do. At Disney, you'll help inspire that magic by enabling our teams to push the limits of entertainment and create the never-before-seen!

Industry

Amusement, gambling, and recreation

Company size

10,000+ Employees

Headquarters location

Burbank, CA, US

Social media

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