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Senior Director Data Science Jobs in Raleigh, NC

LexisNexis

Director, Data Sciences

Raleigh, NC · On-site

Define and execute the data science vision and roadmap aligned with business objectives and ... Direct cutting-edge research initiatives in NLP, LLMs, and other emerging AI technologies to ...

LexisNexis

Director, Data Sciences

Raleigh, NC · On-site +1

Define and execute the data science vision and roadmap aligned with business objectives and ... Direct cutting-edge research initiatives in NLP, LLMs, and other emerging AI technologies to ...

LexisNexis

Director, Data Sciences

Raleigh, NC · On-site +1

Define and execute the data science vision and roadmap aligned with business objectives and ... Direct cutting-edge research initiatives in NLP, LLMs, and other emerging AI technologies to ...

Cigna

Data Science Director - Remote

Raleigh, NC · On-site +1

As the Data Science Director for Pricing & Underwriting, you will lead high-impact teams that build ... Demonstrated ability to influence senior business and technical stakeholders and translate complex ...

RELX Group plc

Manager Data Science

Raleigh, NC · On-site

$115K - $192K/yr

Lead small- to medium-sized teams (direct or indirect). * Set a high bar for model development. Requirements * Substantial experience in a senior data scientist role. * Experience leading complex ...

LexisNexis

Manager Data Science

Raleigh, NC · On-site +1

$115K - $192K/yr

Lead small- to medium-sized teams (direct or indirect). * Set a high bar for model development. Requirements * Substantial experience in a senior data scientist role. * Experience leading complex ...

RELX

Manager Data Science

Raleigh, NC · On-site +1

$115K - $192K/yr

Lead small- to medium-sized teams (direct or indirect). * Set a high bar for model development. Requirements * Substantial experience in a senior data scientist role. * Experience leading complex ...

LexisNexis

Manager Data Science

Raleigh, NC · On-site

$115K - $192K/yr

Lead small- to medium-sized teams (direct or indirect). * Set a high bar for model development. Requirements * Substantial experience in a senior data scientist role. * Experience leading complex ...

LexisNexis

Manager Data Science

Raleigh, NC

$115K - $192K/yr

Lead small- to medium-sized teams (direct or indirect). * Set a high bar for model development. Requirements * Substantial experience in a senior data scientist role. * Experience leading complex ...

Peter Millar

Senior Data Scientist

Durham, NC · On-site

... have direct revenue impact, partners with data engineering to productionize workflows, and helps ... Evaluate and introduce new tools, frameworks, and methodologies to advance applied data science ...

IQVIA

Senior Director, Sales

Durham, NC · On-site

About IQVIA Clinical & Patient Technology IQVIA is The Human Data Science Company, focused on using ... Role Overview The Senior Director, Sales - Large Pharma US, Clinical & Patient Technology is ...

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Senior Director Data Science information

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$24.3K

$78K

$158.9K

How much do senior director data science jobs pay per year?

As of Jul 14, 2026, the average yearly pay for senior director data science in Raleigh, NC is $78,046.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,300.00 and $100,100.00 per year, depending on experience, location, and employer.

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

To thrive as a Senior Director Data Science, you need deep expertise in advanced analytics, machine learning, statistical modeling, and a strong educational background in a quantitative field, often with a master's or PhD. Familiarity with data platforms (like AWS, Azure), programming languages (such as Python, R), and leadership in deploying enterprise-level data solutions is vital, along with experience managing large teams. Exceptional strategic thinking, communication, and stakeholder management skills set top candidates apart in this role. These abilities are crucial for driving data-driven business strategies, leading high-performing teams, and ensuring impactful outcomes at the organizational level.

What does a Senior Director of Data Science do?

A Senior Director of Data Science leads and oversees the data science strategy for an organization, managing teams of data scientists, analysts, and engineers. They are responsible for aligning data initiatives with business goals, guiding advanced analytics projects, and ensuring the effective use of data to drive decision-making. This role often involves collaborating with other executives to develop data-driven solutions, establishing best practices, and setting the vision for how data science supports organizational growth.

How does a Senior Director of Data Science typically collaborate with other departments within an organization?

A Senior Director of Data Science frequently partners with leaders from product, engineering, marketing, and business strategy to align data-driven insights with organizational goals. They facilitate cross-functional collaboration by translating complex analytics into actionable business recommendations, ensuring that data science initiatives support top-level priorities. This role often leads a team of data scientists while serving as a bridge between technical teams and non-technical stakeholders, fostering a culture of data-informed decision-making throughout the company.

What is the difference between Senior Director Data Science vs Data Science Manager?

AspectSenior Director Data ScienceData Science Manager
ResponsibilitiesOversees multiple teams, sets strategic vision, aligns data science initiatives with business goalsManages day-to-day operations of data science teams, executes projects, and ensures deliverables
Required CredentialsAdvanced degree (Master's/PhD), extensive experience, leadership skillsRelevant degree, experience in managing data projects, technical expertise
Work EnvironmentStrategic, cross-departmental, executive collaborationOperational, team-focused, project management

The Senior Director Data Science typically holds a higher strategic leadership role, overseeing multiple teams and aligning data initiatives with company goals. In contrast, a Data Science Manager focuses on managing teams and executing projects. Both roles require strong technical backgrounds, but the Senior Director emphasizes strategic vision and leadership across departments.

What are popular job titles related to Senior Director Data Science jobs in Raleigh, NC? For Senior Director Data Science jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Senior Director Data Science jobs in Raleigh, NC look for? The top searched job categories for Senior Director Data Science jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Senior Director Data Science jobs? Cities near Raleigh, NC with the most Senior Director Data Science job openings:
Senior Director Data Science jobs near you
Director, Data Science

Director, Data Science

Fidelity Investments

Durham, NC • On-site

Full-time

Retirement

Re-posted 4 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 266 frontline employees who took The Breakroom Quiz

17th of 148 rated financial services

Job description


Position Description:
Leads and oversees end-to-end data science initiatives, guiding teams through data cleansing, preparation, annotation, feature engineering, exploratory analysis, and model development. Provides strategic direction on Machine Learning (ML) pipeline architecture, ensures alignment with business objectives, and drives cross-functional collaboration to deliver scalable, high-impact solutions. Draws on in-depth knowledge of the business or function to provide business unit-wide solutions by building, testing and monitoring AI models. Researches and recommends new technologies, and seizes opportunities by staying abreast of publications, tools, and techniques from the global Artificial Intelligence (AI/ML) community, in support of the strategic direction of the business unit and to achieve business-unit-wide solutions.
Primary Responsibilities:
  • Identifies business opportunities and evaluates best approaches for predictive or prescriptive analytics.
  • Implements best practices for model development, iteration, as well as code management and conducts code reviews.
  • Draws key business insights from advanced quantitative analyses and presents findings to broader audience.
  • Leads the design and deployment of advanced analytics solutions that convert raw data into actionable intelligence.
  • Delivers scalable insights, while aligning analytics infrastructure with business priorities.
  • Directs the development and integration of analytics frameworks that transform raw data into strategic insights.
  • Ensures solutions are scalable, business-aligned, and drive data-informed decision-making across the organization.
  • Leads and oversees the full AI/ML lifecycle -- data ingestion, model development, training, deployment, and monitoring.
  • Identifies and consults with internal and external technical resources to produce cross-company strategic designs.
  • Consults on deployment of major project deliverables.
  • Initiates and drives project or strategy discussions with users or external groups to resolve issues.
  • Sets vision, goals, and direction of team/organization.
  • Plans and leads organization-wide initiatives.
  • Provides leadership, technical supervision, and expertise to multiple teams in broad technical areas on complex organization-wide projects.
  • Advises senior management on technical strategy.
  • Regularly provides guidance, training, and coaching to other team members for performance and career development.
  • Identifies and plans for future resource needs.

Education and Experience:
Bachelor's degree in Analytics, Computer Science, Data Science, Operations Research, Economics, or a closely related field (or foreign education equivalent) and six (6) years of experience as a Director, Data Science (or closely related occupation) designing and building complex and scalable Artificial Intelligence (AI) pipelines to improve customer experience and drive business results in the financial services industry.
Or, alternatively, Master's degree in Analytics, Computer Science, Data Science, Operations Research, Economics, or a closely related field (or foreign education equivalent) and four (4) years of experience as a Director, Data Science (or closely related occupation) designing and building complex and scalable Artificial Intelligence (AI) pipelines to improve customer experience and drive business results in the financial services industry.
Skills and Knowledge:
Candidate must also possess:
  • Demonstrated Expertise ("DE") developing supervised and unsupervised Machine Learning (ML) algorithms -- regression, gradient boosting trees/random forest, neural network, feature selection/reduction, clustering, and parameter tuning -- using R, Python, and SAS programming languages; and analyzing and evaluating model results by creating data visualizations and business intelligence reports in Tableau and Adobe Analytics.

  • DE performing data wrangling and feature engineering for large, complex data across Cloud and on-premise data warehouses -- Oracle, Greenplum/Postgres, Hadoop/Hive, Snowflake, S3, and Redis -- using SQL, Python, and database specific SQL; standardizing and optimizing complex queries using database techniques -- partitioning and parallel processing; aggregating time series and transaction tables; creating appropriate features for modeling out of structured and unstructured data; detecting and preventing data leakage and model biases through model fairness measures using open-source AI fairness and ethics libraries.

  • DE analyzing technology solutions for supporting model deployment and integration in Cloud and on premise environments; and building model deployment and integration workflows on Amazon Web Services (AWS), on-premise Hadoop, and UNIX platforms through Git, Jenkins, Python scripts, cron jobs, step functions, Docker images, and APIs.

  • DE migrating existing AI/ML processes from on-premise environments to AWS platforms, using Extract- Transform-Load (ETL) procedures, Python, and Docker containers; creating data quality guardrails to validate model inputs and outputs using ICEDQ; and addressing financial services Cloud security constraints and record systems for workplace services -- 401(K), defined benefits, and workplace compensation and retirement plans, using AWS security tools.

#PE1M2
#LI-DNI
Certifications:
Category:
Data Analytics and Insights
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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