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Director Data Management Jobs in Basking Ridge, NJ

Director of Data Science

Manhattan, NY · Remote

$336K - $356K/yr

Director of Data Science (Fanatics SPV, LLC, New York, NY) Collaborate with cross-functional partners in operations, finance, marketing, and engineering to understand business imperatives and scope ...

Industry/Sector Not Applicable Specialism Deals Management Level Director & Summary The Opportunity As a Deal Data Technology & Analytics Director, you will leverage advanced analytical techniques to ...

Director, Data Architecture Reports to: Chief Digital & Data Officer Location: United States ... Experience with data cataloging, metadata management, and lineage tracking platforms

We're looking for a seasoned analytics leader to drive data-informed decisions for Meta. You will play a critical role in helping Meta build the platfor.

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Director Data Management information

See Basking Ridge, NJ salary details

$55.6K

$159.6K

$251.5K

How much do director data management jobs pay per year?

As of Jul 7, 2026, the average yearly pay for director data management in Basking Ridge, NJ is $159,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,400.00 and $195,300.00 per year, depending on experience, location, and employer.

What is the salary of a data manager?

The salary of a data manager varies depending on experience, location, and industry, but typically ranges from $70,000 to $120,000 annually. Senior data managers with specialized skills in data governance and tools like SQL or Python may earn higher compensation.

How much does a data director make in the US?

A Data Director in the US typically earns between $120,000 and $180,000 annually, depending on experience, industry, and location. Senior roles with extensive expertise in data management, analytics, and leadership can exceed this range, often including bonuses and benefits.

What are the key skills and qualifications needed to thrive as a Director of Data Management, and why are they important?

To thrive as a Director of Data Management, you need extensive experience in data governance, database architecture, and analytics, usually backed by a relevant degree and progressive leadership roles. Familiarity with enterprise data management tools (such as Informatica or Collibra), advanced SQL, and data privacy regulations is crucial, and certifications like CDMP can be advantageous. Strong leadership, strategic thinking, and effective communication enable you to guide teams and align data initiatives with business objectives. These competencies ensure data integrity, compliance, and the delivery of valuable insights that drive organizational success.

What are the 5 pillars of data management?

The five pillars of data management are data quality, data governance, data architecture, data security, and data integration. For a Director of Data Management, understanding these pillars is essential to ensure accurate, secure, and accessible data across an organization, often supported by tools like data catalogs and master data management systems.

What Does a Director of Data Management Do?

As a director of data management, your responsibilities include all operational and strategic aspects of data management, especially regarding product development and decision-making. You monitor a team and handle data management to develop, implement, and complete projects while ensuring a high level of data quality based on regulatory standards. You also manage resources and the budget, lead the development of Product Lifecycle Management (PLM) roadmaps, and develop dashboards and metrics to show the status of data governance and quality. You are also expected to oversee the collection of information into the business data warehouse, build analytic solutions using various big data techniques and tools, and document these solutions and the technical data architecture. Other duties include providing guidance using best industry practices, working with many client databases, and interpreting flag codes.

What are some common challenges faced by a Director of Data Management when implementing data governance frameworks?

A Director of Data Management often encounters challenges such as securing buy-in from stakeholders across various departments, integrating disparate data sources, and ensuring consistent data quality and compliance with regulatory requirements. Balancing the need for robust security with accessibility for business users can also be complex. Addressing these challenges requires strong communication skills, a clear data strategy, and effective collaboration with IT, legal, and business teams.

What is the difference between Director Data Management vs Data Analyst?

AspectDirector Data ManagementData Analyst
Required CredentialsBachelor's or Master's in Data Science, IT, or related field; often with leadership experienceBachelor's in Statistics, Data Science, or related field; often entry to mid-level experience
Work EnvironmentStrategic leadership, overseeing data teams, managing data governanceData collection, analysis, reporting, supporting decision-making
Employer & Industry UsageUsed in large corporations, tech, finance, healthcareCommon across industries for data-driven roles

The main difference is that a Director Data Management focuses on strategic oversight, data governance, and leading data teams, while a Data Analyst primarily handles data analysis, reporting, and supporting business decisions. The Director role involves higher-level management and planning, whereas Data Analysts execute specific data tasks.

What is a Director of Data Management?

A Director of Data Management is a senior leader responsible for overseeing an organization's data strategy, governance, and operations. They ensure that data is collected, stored, and used efficiently and securely to support business objectives. This role often involves managing a team, setting data policies, ensuring compliance with regulations, and working with other departments to leverage data for decision-making and innovation.

What does a director of data management do?

A director of data management oversees an organization’s data strategy, ensuring data quality, security, and compliance. They lead teams responsible for data governance, implement data management tools, and collaborate with other departments to support data-driven decision-making.
What are the most commonly searched types of Data Management jobs in Basking Ridge, NJ? The most popular types of Data Management jobs in Basking Ridge, NJ are:
What job categories do people searching Director Data Management jobs in Basking Ridge, NJ look for? The top searched job categories for Director Data Management jobs in Basking Ridge, NJ are:
What cities near Basking Ridge, NJ are hiring for Director Data Management jobs? Cities near Basking Ridge, NJ with the most Director Data Management job openings:
Infographic showing various Director Data Management job openings in Basking Ridge, NJ as of July 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 68% In-person, 11% Hybrid, and 21% Remote job distribution, with an average salary of $159,605 per year, or $76.7 per hour.

Director of Data Science

Fanatics SPV, LLC

Manhattan, NY • Remote

$336K - $356K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Director of Data Science (Fanatics SPV, LLC, New York, NY)

Collaborate with cross-functional partners in operations, finance, marketing, and engineering to understand business imperatives and scope data science projects; Explore possibilities to solve the business imperatives by identifying data sources, creating data where needed, and applying data science techniques; Work with VP Data, VP of Analytics, and CFO to create data-informed business strategies and roadmaps; Translate data needs into data product requirements, evaluate technologies, and identify opportunities to innovate and improve data science capabilities; Use creative problem-solving skills to analyze data and build statistical / machine learning models to help solve business problems from different perspectives; Work with data engineering lead to create services that can ingest and supply data to and from both internal and external sources and ensure data quality and timeliness; Build the data science team and lead in data scientist recruitment process; Guide and coach data scientists and own the deliverables of data visualization and dashboards to help the organization monitor performance, generate insights, and continuously improve user experience; Continuously grow the data science team’s skillsets; Establish playbooks to drive data product development process and consistent outcomes; Use strong communication skills (written and verbal) to lead the full lifecycle of model development, which spans from business problem discovery, data discovery to model deployment and monitoring; Evangelize data science across the entire company; identify and make the business case for data science based use cases; Where needed, conduct hands-on wrangling, processing, cleansing, and verifying data from different sources used for analysis; Analyze data with complex relationships, hierarchical levels, and time series, such as Pandas, PySpark; Use and recommend a wide range of machine learning algorithms and statistical modeling, including latest LLM developments; Utilize data visualization and dashboard tools, such as Tableau, PowerBI and Snowflake. Up to 10% domestic travel required for meetings/clients visits; 100% remote; must reside in U.S.; reports to HQ in New York, NY. Salary: $336,350 - $356,350 per year.

MINIMUM REQUIREMENTS: Bachelor’s Degree or U.S. equivalent in Quantitative Methods, Statistics, Econometrics, or related field, plus 5 years of professional experience as a Data Scientist, Operations Research Analyst, or any occupation, job title, or position leading a data science team in a technology organization. 

Must also have experience in the following: 5 years of professional experience implementing data science solutions by identifying relevant data sources, creating data pipelines, and applying advanced data science techniques to support business decision-making; 5 years of professional experience designing and developing machine learning models and statistical algorithms to analyze structured and unstructured data from both internal and external sources; 5 years of professional experience collaborating with cross-functional teams to gather business requirements, define technical scopes, and deliver actionable data insights; 5 years of professional experience utilizing tools and libraries including Python, SQL, Spark, PyTorch, Pandas, and PySpark to perform data wrangling, cleansing, and advanced analytics; 5 years of professional experience developing and maintaining data visualization dashboards using tools including Tableau to monitor performance and communicate insights to stakeholders; 5 years of professional experience establishing scalable data product development processes through consistent use of playbooks, code standards, and reproducible pipelines; 5 years of professional experience leading the full lifecycle of machine learning models from business problem discovery to model deployment and performance monitoring; 5 years of professional experience evangelizing data science practices across organizations, including coaching team members, supporting recruitment efforts, and promoting a data driven culture.

CONTACT: Apply online at fanaticsinc.com/careers or email resume to: WorkWithFanatics@FanaticsInc.com. Must specify Ad Code ZCKM in subject line.

JobiqoTJN. Keywords: Data Science Director, Location: New York, NY - 10060