1

Program Manager Data Analytics Jobs in New York, NY

Manager, Data and Analytics Job Summary: CASES is seeking a Manager, Data and Analytics for a New ... Build deep knowledge of ACES program operations by participating in regular in-person meetings ...

Showing results 21-40

Program Manager Data Analytics information

See New York, NY salary details

$42.1K

$117.6K

$171.8K

How much do program manager data analytics jobs pay per year?

As of Aug 11, 2026, the average yearly pay for program manager data analytics in New York, NY is $117,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,000.00 and $145,000.00 per year, depending on experience, location, and employer.

What is the difference between Program Manager Data Analytics vs Data Analyst?

AspectProgram Manager Data AnalyticsData Analyst
CredentialsBachelor's or Master's in Business, Data Science, or related fields; certifications like PMP or CAPM beneficialBachelor's in Statistics, Data Science, or related fields; certifications like Microsoft Data Analyst Associate helpful
Work EnvironmentOversees multiple projects, collaborates with cross-functional teams, manages stakeholdersAnalyzes data sets, creates reports, supports decision-making within teams
Industry UsageCommon in tech, finance, healthcare, and large organizationsWidely used across industries for data interpretation and reporting

The Program Manager Data Analytics focuses on managing multiple analytics projects and coordinating teams, while Data Analysts primarily analyze data and generate reports. Both roles require strong analytical skills, but the Program Manager has broader responsibilities in project oversight and stakeholder management.

How does a program manager in data analytics typically collaborate with cross-functional teams?

As a Program Manager in Data Analytics, you will frequently work with data engineers, analysts, business stakeholders, and IT teams to drive analytics initiatives from conception to completion. This collaboration involves translating business objectives into technical requirements, ensuring clear communication between teams, and managing timelines and deliverables. Regular meetings, stakeholder updates, and agile project management practices are commonly used to keep everyone aligned and to adapt quickly to changing priorities. Building strong relationships across departments is essential for successfully delivering data-driven solutions.

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

To thrive as a Program Manager in Data Analytics, you need strong project management skills, deep analytical expertise, and a background in statistics or computer science, often supported by a bachelor’s or master’s degree. Familiarity with analytics platforms (such as Tableau or Power BI), programming languages (like SQL or Python), and certifications like PMP or Agile are highly valuable. Exceptional communication, leadership, and stakeholder management skills help in aligning teams and translating complex data insights into actionable business strategies. These capabilities ensure successful delivery of analytics initiatives that drive informed decision-making and organizational growth.

What is a program manager in data analytics?

A Program Manager in Data Analytics is responsible for overseeing and coordinating multiple data analytics projects or initiatives within an organization. They work closely with data analysts, data scientists, and other stakeholders to ensure that data-driven projects align with business objectives, are delivered on time, and produce actionable insights. Their role includes strategic planning, resource allocation, risk management, and communication between technical teams and business leaders. Program Managers help bridge the gap between technical execution and organizational goals, ensuring that data analytics initiatives deliver measurable value.
What are popular job titles related to Program Manager Data Analytics jobs in New York, NY? For Program Manager Data Analytics jobs in New York, NY, the most frequently searched job titles are:
What job categories do people searching Program Manager Data Analytics jobs in New York, NY look for? The top searched job categories for Program Manager Data Analytics jobs in New York, NY are:
What cities near New York, NY are hiring for Program Manager Data Analytics jobs? Cities near New York, NY with the most Program Manager Data Analytics job openings:

Manager Data Analytics (B2C)

HARAMAIN SYSTEMS INC.

Jersey City, NJ • Remote

$200K - $250K/yr

Full-time

Posted 13 days ago


Job description

Role: Head of Data Analytics (B2C)

Location : Remote

Full-time role

Must have working experience in B2C mobile apps



Role Requirements

  • Looking for a head of data analytics with strong analytics skills, not heavy on data engineering.
  • Must have consumer app experience, familiarity with onboarding funnels, and consumer marketing.


Candidate Requirements

  • Must be a strategic communicator, able to work with executives and tell data stories effectively.
  • Needs to have experience in advanced analytics, SQL, and ideally some Python.


Ideal Candidate Profile

  • Strong business sense, possibly with a consulting background; able to be a thought partner at the executive level.
  • Should be a balanced player-coach, competent in managing a small team while being hands-on.


Compensation and Logistics

  • Remote role in the US, with a salary range of $200k-$250k; visa sponsorship is less preferred due to urgency.
  • Owned by Teladoc, providing stability and benefits typical of a public company


Seniority

  • 6+ years of experience in data analytics for consumer products with experience leading teams
  • Work experience
  • 2+ years working in B2C mobile apps
  • 2 - 5 years of direct management expereince is the sweet spot – looking for a Player-coach
  • Experience in a fast paced startup environment (VC backed, rapidly growing mobile app, etc.)

Hard skills

  • Has owned product analytics at a B2C software company - conversion funnels, feature adoption, retention, user segmentation
  • Updated
  • Deep understanding of subscription and mobile app metrics: trial conversion, trial-to-paid modeling, LTV, renewal rates, cohort analysis


Depth with data analytics and engineering tools (SQL, dbt, BigQuery, Python, Mixpanel, Amplitude, etc.)


Experience with mobile UA attribution — MMP (AppsFlyer, Adjust, or similar), SKAN, multi-touch

Practical experience building with AI/LLM tools

Soft skills: Effective communication: when they’re asked a question, they answer it succinctly and directly.