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Program Manager Data Analytics Jobs in New York (NOW HIRING)

Analytical consultant High skilled functional consultants Experienced understanding PBM trend - pharmacy expenses, program metrics, rebates, business lead with Data experience Leader, strategy ...

Senior Program Manager (Data Strategy) American International Group, Inc. (AIG) is a leading global insurance organization. AIG member companies provide a wide range of property casualty insurance in ...

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Program Manager Data Analytics information

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 job categories do people searching Program Manager Data Analytics jobs in New York look for? The top searched job categories for Program Manager Data Analytics jobs in New York are:
What cities in New York are hiring for Program Manager Data Analytics jobs? Cities in New York with the most Program Manager Data Analytics job openings:

Systems Manager - Data Operations, Enterprise Data & Analytics

Consolidated Edison

New York, NY • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 15 days ago


Job description

The Systems Manager, Data Operations, Enterprise Data & Analytics, leads the architecture, quality and integration backbone for data to the Enterprise Data & Analytics Platform (EDAP). This role manages a group that owns data models and governance standards across the EDAP stack (with a primary focus on the Google Cloud Platform; other platforms are Azure Databricks and C3.ai); provides data quality monitoring, rule definition, and root cause analysis in partnership with the data governance office; designs and builds the pipelines and data contracts that connect the EDAP landing zone to source systems and middleware. The Systems Manager is tasked to make these three functions operate as one coordinated practice, setting priorities, resolving cross-pillar dependencies, and ensuring the EDAP platforms deliver trusted, well-modeled, and reliably integrated data to our business partners and their value driven use cases with a focus on prioritizing data as an asset.

The ideal candidate brings hands-on depth in modern data platforms, including data modeling, data quality frameworks, and integration patterns across cloud and on-prem source systems. A track record of leading technical teams, partnering with solution engineering and enterprise governance groups, and translating platform standards into day-to-day operating discipline is essential. Strong communication skills matter as well, since the role works across architects, engineers, source system owners, and business stakeholders. Experience in utilities or other regulated industries is a plus. Candidates who can connect architecture, quality, and activation into a single operating model and lead a team to run it well are encouraged to apply.

This position does not provide employment pursuant to the terms of a STEM OPT Training Plan.

Mission Statement:


Consolidated Edison Company of New York, Inc. (Con Edison), Orange & Rockland Utilities (O&R), and Consolidated Edison Transmission (CET) employees are required to follow health, safety, and environmental policies, EEO, Standards of Business Conduct, and all other applicable company policy and procedures. We all share a responsibility to advance the company's mission by excelling at our three corporate priorities - safety of our people and the public, operational excellence in all that we do, and ensuring the best possible customer experience.


Benefits:


We are dedicated to supporting the physical, mental, and financial health of our employees and their families. This commitment extends beyond the workplace to foster personal growth and holistic wellbeing. Our life-changing rewards package includes:


  • Rich medical & pharmacy benefits, including vision benefits
  • Dental benefits
  • Health Savings Accounts
  • Health Care and Dependent Care Flexible Spending Accounts
  • 401(k) with robust matching
  • Employer paid Pension Plan
  • Employee Stock Purchase Plan with a generous matching contribution
  • State of the art Employee Assistance Program
  • Paid Parental Leave
  • Generous paid time off plus paid holidays
  • Family support: emergency backup child, & elder care assistance
  • Social responsibility and volunteer opportunities
  • Employee discount program
  • Commuter Benefits
  • Culture of growth and learning: career development; tuition reimbursement; recognition program
  • Life and Long-Term Disability Benefits


*Please be aware that some benefits may not apply to provisional or part-time job titles.

EEO Statement:

Consolidated Edison Company of New York, Inc. (Con Edison), Orange & Rockland Utilities (O&R), and Consolidated Edison Transmission (CET) are equal opportunity employers. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of the individual's actual or perceived disability, protected veteran status, race, color, creed, religion, sex, age, national origin, gender, gender identity, gender expression, genetic information, marital status, sexual orientation, citizenship, domestic violence victim status, or any other actual or perceived status protected by law.

Technical Difficulty Statement:

For technical issues, please contact us at careerconnect@coned.com


Required Education/Experience
  • Master's Degree in Computer Science, Engineering, Math, Business, or technology-centric field and a minimum of 6 years relevant full-time work experience or
  • Bachelor's Degree in Computer Science, Engineering, Math, Business, or technology-centric field and a minimum of 8 years relevant full-time work experience
Relevant Work Experience
  • Demonstrated experience in data engineering, data architecture, or data platform operations, including time spent leading technical teams, required
  • Demonstrated experience with data modeling, data quality frameworks, and integration patterns across cloud and on-prem source systems, required
  • Proven ability to partner across architects, engineers, business stakeholders, and enterprise governance groups to deliver operational outcomes, required
  • Experience defining and managing operational metrics, SLAs, or KPIs for data platforms or similar technical environments, required
  • Experience implementing data governance standards, data contracts, and observability practices on an enterprise analytics platform with integration points back to governance platforms such as Google Dataplex / Knowledge Catalog and Microsoft Purview, preferred
  • Background in utilities, energy, or other regulated industries with exposure to compliance and data sensitivity requirements, preferred
  • Hands-on experience with modern cloud data platforms (such as Azure, AWS, GCP, and/or Databricks) and the integration tooling that supports them, preferred
Skills and Abilities
  • Strong written and verbal communication skills
  • Builds and manages effective teams
  • Possesses flexibility to work in a fast paced, dynamic environment
  • Ability to work within tight timeframes and meet strict deadlines
  • Demonstrated problem solving skills
  • Effective interpersonal skills
  • Ability to drive multiple projects to successful completion
  • Demonstrated time management and priority setting skills
  • Ability to simultaneously handle multiple priorities
  • Well organized, detail oriented and flexible to handle multiple assignments
Licenses and Certifications
  • Driver's License Required
  • Other: Technical certification(s) in IT Preferred
Physical Demands
  • Sit or stand to use a keyboard, mouse, and computer for the duration of the workday
Additional Physical Demands
  • The selected candidate will be assigned a System Emergency Assignment (i.e., an emergency response role) and will be expected to work non-business hours during emergencies, which may include nights, weekends, and holidays.
  • Available to work off hours as operationally required
Core Responsibilities
  • Lead and develop the Data Operations team, aligned across the three platform pillars of data architecture, data quality and data activation, setting priorities and managing day-to-day execution
  • Oversee the integrity of EDAP data models and architecture (primarily on Google Cloud Platform; other platforms are Azure Databricks & C3.ai), ensuring changes are evaluated, governed, and implemented in partnership with solution and platform engineering teams
  • Establish and enforce platform data governance standards covering naming conventions, data classification, documentation, access controls, and security and compliance requirements
  • Direct the platform's data quality program, including monitoring, rule definition, profiling methodologies, issue management, and root cause analysis
  • Ensure platform data quality practices stay aligned with the data governance office and quality standards as both the platform and enterprise policies evolve
  • Oversee the design and delivery of data integration pipelines and data contracts between EDAP and source systems, middleware, and downstream consumers
  • Ensure interface designs account for data sensitivity, integration methodology selection, and end-to-end data integrity across all activation work
  • Implement monitoring and observability standards for data interfaces so issues are detected early and data arrives intact and complete
  • Partner with solution engineering, source system owners, business subject matter experts, and enterprise governance teams to align platform capabilities with business use cases
  • Define and report on operational metrics, SLAs, and KPIs for architecture, quality, and integration, driving continuous improvement across the platform