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Data Intelligence Manager Jobs in Pennington, NJ

Market Intelligence Manager

Somerset, NJ ยท On-site

$135K - $160K/yr

Manage junior analysts and drive continuous improvement of intelligence processes. Requirements ... Bachelor's degree in Business, Marketing, Economics, Engineering, Data Analytics, or related field ...

System Engineer III

Moorestown, NJ ยท On-site

$120K - $140K/yr

Data Intelligence LLC Job Openings >> System Engineer III System Engineer III Summary Title: System ... Manage and decompose system requirements into implementable components * Conduct system performance ...

ISSE

Philadelphia, PA ยท On-site

$120K - $135K/yr

Data Intelligence LLC Job Openings >> ISSE ISSE Summary Title: ISSE ID: 1635 Location: Philadelphia ... Understanding of system and software inventory management. * Ability to work hands-on with both ...

System Engineer II

Moorestown, NJ ยท On-site

$110K - $115K/yr

Understanding of requirements management tools or processes * Experience supporting verification & validation efforts Data Intelligence, DI is an established small business that has supported the ...

Software Engineering IV

Moorestown, NJ ยท On-site

$130K - $150K/yr

Data Intelligence LLC Job Openings >> Software Engineering IV Software Engineering IV Summary Title ... Support program management with technical expertise Experience: * Bachelor's degree in Computer ...

ISSE

Philadelphia, PA ยท On-site

$120K - $135K/yr

Data Intelligence, LLC (DI) is searching for a full time Information Systems Security Engineer ... Understanding of system and software inventory management. * Ability to work hands-on with both ...

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Showing results 1-20

Data Intelligence Manager information

See Pennington, NJ salary details

$31.3K

$98K

$173.6K

How much do data intelligence manager jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data intelligence manager in Pennington, NJ is $98,050.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,600.00 and $126,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Intelligence Manager?

To thrive as a Data Intelligence Manager, you need expertise in data analytics, business intelligence, and data management, typically supported by a degree in computer science, statistics, or a related field. Familiarity with BI tools like Tableau or Power BI, data warehousing solutions, and certifications such as Certified Analytics Professional (CAP) are highly beneficial. Strong leadership, strategic thinking, and communication skills are essential for effectively guiding teams and translating complex data insights into actionable strategies. These skills ensure the effective transformation of raw data into valuable business insights, driving informed decision-making and organizational growth.

How does a Data Intelligence Manager typically collaborate with cross-functional teams within an organization?

A Data Intelligence Manager often works closely with teams such as IT, business operations, marketing, and product development to ensure that data-driven insights align with organizational goals. This role requires facilitating clear communication between data analysts, engineers, and non-technical stakeholders to translate complex data findings into actionable strategies. Regular meetings, project updates, and cross-department workshops are common, fostering a collaborative environment where data initiatives support business objectives. Building strong relationships across teams is essential for driving successful data intelligence projects.

What is the difference between Data Intelligence Manager vs Data Analyst?

AspectData Intelligence ManagerData Analyst
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often certifications in data toolsBachelor's in Statistics, Mathematics, or related field; certifications in data analysis tools are common
Work EnvironmentLeads teams, manages data strategies, collaborates with stakeholdersAnalyzes data sets, prepares reports, supports decision-making
Employer & Industry UsageUsed in corporate, tech, finance sectors for strategic data rolesCommon across various industries for operational data analysis

The Data Intelligence Manager focuses on leading data strategies and managing teams, while the Data Analyst primarily analyzes data to support business decisions. Both roles require strong analytical skills and familiarity with data tools, but differ in scope and responsibilities.

What does a data intelligence manager do?

A data intelligence manager oversees the collection, analysis, and interpretation of data to support business decision-making. They develop data strategies, manage data teams, and use tools like SQL, data visualization software, and analytics platforms to turn data into actionable insights.

Director, Data & Intelligence

Philadelphia, PA โ€ข Hybrid

Full-time

Posted 6 days ago


Job description

We are looking for a Director,Dataand Intelligence to lead our enterprise data, business intelligence and reporting capabilities. This is an opportunity to shape enterprise reporting across Finance, Sales, Customer Service,Operationsand other corporate functions, as well as customer and product usage reporting.

This hands-on build-and-run leadership role willestablisha stable,governedand scalable operating model across a technology landscape that includes Snowflake, AWS Redshift, Databricks, Microsoft Fabric, Power BI,Pendoand Snowplow. We would love to speak with you if you bring strong practical experience in enterprise reporting, modern cloud dataarchitecturesand data-platform transformation, with the leadership depth to guide specialists and connect data investments to business outcomes.

About You - experience, education, skills, and accomplishments

  • Bachelor's or Master'sdegree, or equivalent practical experience, in data, analytics, technology, engineering, computer science ora relatedfield.
  • At least 10 years of relevant experience across data, analytics,reportingor data-platform delivery.
  • At least 5 years of leadership experience managing data, BI,engineeringor analytics teams.
  • Experience owning enterprise reporting and business intelligence in a complex organization.
  • Strong practical understanding of Snowflake, PowerBIand modern cloud data architectures, with working knowledge of AWS Redshift, Databricks and Microsoft Fabric.

It would be great if you also had . . .

  • Experience with customer or product usage analytics, including Pendo,Snowplowor comparable technologies.
  • Experience leading data migration, reporting transformation or enterprisedata-platforminitiatives.
  • Strong understanding of data engineering, dimensional modeling, semantic models, ETL/ELTand data-quality practices.
  • Experience integrating data from CRM, ERP, Finance and operational systems, directing specialistpartnersand translating business questions into sustainable reporting solutions.
  • Corporate carve-out, separation,mergeror TSA exit experience.
  • Experience with Snowflake administration, architecture and cost management, or Microsoft Fabric,OneLake, Power BI governance andsemantic-modelmanagement.
  • Experience with AWS data services, including Redshift, S3 and Glue, or Databricks, Delta Lake and Unity Catalog.
  • Experience with Pendo and Snowplow data ingestion and usage-reporting models, or enterprise reporting across Salesforce,NetSuiteand Finance applications.
  • Experience with data catalogs, lineage, master data, data governance orestablishinga controlled self-service analytics model.

What will you be doing in this role?

Data and intelligence leadership:Own the strategy, roadmap and operating model for enterprise data, analytics and reporting,establishingclear ownership and translating business priorities into practical plans.

Enterprise and usage reporting:Oversee executive dashboards, management reporting, operational reports, self-service analytics and customer and product usage reporting, with consistent definitions and trusted sources.

Platforms and architecture:Set direction across Snowflake, AWS Redshift, Databricks, Microsoft Fabric and Power BI, defining the role of each platform and ensuring scalable,secureand supportable architecture.

Data engineering,governanceand quality:Lead pipelines, modeling,transformationand integration whileestablishingpractical governance for ownership, lineage, classification, access,retentionand data quality.

Delivery and operational stability:Lead discovery, architecture, migration, engineering, validation, cutover,stabilizationand handover while protecting reporting continuity and data integrity.

Team and partner leadership:Lead a multidisciplinary team of data engineers, BI developers, data analysts, platformspecialistsand product owners, and manage specialist partners, budgets, platform costs,licensingand resource plans.

About the Team

The Data and Intelligence team supports enterprise data, analytics and reporting across Finance, Sales, Customer Service,Operationsand other corporate functions, along with customer and product usage reporting. The multidisciplinary team includes data engineers, BI developers, data analysts, platformspecialistsand product owners. This role will partner with business leaders and Enterprise Architecture, Cloud, Security, Privacy, Compliance, Application, Product Technology and Product Operations teams, as well as systems integrators and specialist partners.

Hours of Work

  • Full-time permanent position primarily working core business hours in your time zone, with flexibility to adjust to various global time zones as needed.
  • Hybrid position working 2-3 days per week on-site.
  • Must live within a commutable distance of the Philadelphia, PA office.

At Clarivate, we are committed to providing equal employment opportunities for all qualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations.