ZipRecruiter

Log In

1

Data Manager Jobs in Raleigh, NC (NOW HIRING)

Telus Digital

Manager, Data & AI Strategy

Durham, NC · On-site

$122K - $143K/yr

The Opportunity The Manager, Data & AI Strategy leads the delivery of TELUS Digital's Data & AI advisory engagements, owning client relationships and driving outcomes across AI strategy, data ...

New

RELX

Manager Data Engineering - Agentic AI

Raleigh, NC · On-site

About the Role This position provides leadership, management, direction, and vision to data engineering and/or employees-including offshore contractors, consultants, interns, and the quality control ...

GSK

ERP Data Management Lead

Zebulon, NC · On-site

This role ensures data remains reliable, aligned, and fit-for-purpose-protecting operational ... Exact days on-site will be agreed with the hiring manager. What we value We hire people who work ...

First Citizens Bank

AI Portfolio Manager

Raleigh, NC · On-site

Serve as the embedded AI lead within the delivery pod, either directly contributing as a pseudo data scientist or managing and directing offshore data science resources. Value Measurement and ROI ...

IQVIA, Inc.

Clinical Data Strategist

Durham, NC · On-site

$86K - $216K/yr

REQUIRED KNOWLEDGE, SKILLS AND ABILITIES Experience working in Drug Discovery, clinical trial conduct, clinical data management or related industries. Excellent critical thinking and analytical ...

IQVIA

Clinical Data Strategist

Durham, NC · On-site

$86K - $216K/yr

Complete and manage the 'Systems Integration Plan' to detail the data flow and highlight potential risks/challenges while collaborating with various groups (i.e. IPA, Study Team, CDAT) to provide ...

IQVIA

Clinical Data Strategist

Durham, NC · On-site

$86K - $216K/yr

Complete and manage the 'Systems Integration Plan' to detail the data flow and highlight potential risks/challenges while collaborating with various groups (i.e. IPA, Study Team, CDAT) to provide ...

next page

Showing results 1-20

All JobsData JobsData Manager JobsData Manager Jobs in Raleigh, NC

Data Manager information

See Raleigh, NC salary details

$30.1K

$94.4K

$167.2K

How much do data manager jobs pay per year?

As of Jul 8, 2026, the average yearly pay for data manager in Raleigh, NC is $94,427.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,200.00 and $122,000.00 per year, depending on experience, location, and employer.

What is the salary of a data manager?

The salary of a data manager typically ranges from $70,000 to $120,000 annually, depending on experience, industry, and location. Professionals with advanced skills in database management, data analysis, and familiarity with tools like SQL or Python tend to earn higher salaries.

What is a Data Manager?

A Data Manager is a professional responsible for overseeing the collection, storage, organization, and safeguarding of data within an organization. They ensure that data is accurate, accessible, and secure, often working with databases and data management systems. Data Managers also develop data policies, maintain data quality, and support teams in using data effectively for decision-making. Their role is crucial in industries where large volumes of information are handled, such as healthcare, finance, and research.

What is the difference between Data Manager vs Data Analyst?

AspectData ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications like CDMP or DAMA often preferredBachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentTypically manages data systems, databases, and teams; works in IT or data departmentsAnalyzes data sets, creates reports, and visualizations; often works in business or analytics teams
Employer & Industry UsageUsed across industries like healthcare, finance, and tech for data governance and managementCommon in marketing, finance, and consulting for insights and decision-making

While both roles involve working with data, Data Managers focus on overseeing data systems and ensuring data quality, whereas Data Analysts interpret data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

What Is a Data Manager?

A data manager is responsible for creating and managing databases that meet the specific needs of a company or organization. As a data manager, your job duties include assessing customer database requirements, modifying the structure of existing databases, and handling the backup and recovery of older systems. You should have experience working with many database system varieties and large volumes of customer records. You can find data manager positions in a wide range of industries.

What jobs pay 200,000 a year in the USA?

Data managers typically do not earn $200,000 annually unless they hold senior or specialized roles such as Director of Data or Chief Data Officer, which require extensive experience, advanced skills in data analysis and management tools, and often leadership responsibilities. High-paying roles in data management are usually found in large corporations or industries like finance, technology, and healthcare. Salary levels depend on experience, education, certifications, and the size of the organization.

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

To thrive as a Data Manager, you need expertise in data management principles, database administration, and data governance, often supported by a bachelor's degree in computer science or a related field. Familiarity with SQL, data warehousing tools, data visualization platforms, and certifications like CDMP or DAMA are typically required. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for ensuring data integrity and collaborating with stakeholders. These skills and qualifications are crucial for maintaining secure, accurate data systems and supporting informed business decisions.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as data analysis, SQL, and visualization tools, along with continuous learning and certification if needed.

How does a Data Manager typically collaborate with other departments to ensure data integrity?

As a Data Manager, collaboration with various departments—such as IT, analytics, and operations—is essential to maintain data integrity and consistency. You’ll regularly coordinate with these teams to establish data governance protocols, resolve discrepancies, and ensure that data collection and storage meet organizational standards. Open communication and regular meetings help address data quality issues and align data management practices across the organization. This cross-functional work not only supports accurate reporting but also drives better decision-making company-wide.

What is the role of a data manager?

A data manager is responsible for overseeing the collection, storage, organization, and maintenance of data within an organization. They ensure data quality, security, and accessibility, often using database management tools and following data governance standards. Their role supports data analysis and decision-making processes.
More about Data Manager jobs
What are the most commonly searched types of Data jobs in Raleigh, NC? The most popular types of Data jobs in Raleigh, NC are:
What are popular job titles related to Data Manager jobs in Raleigh, NC? For Data Manager jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Data Manager jobs in Raleigh, NC look for? The top searched job categories for Data Manager jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Data Manager jobs? Cities near Raleigh, NC with the most Data Manager job openings:
Data Manager jobs near you
Infographic showing various Data Manager job openings in Raleigh, NC as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $94,427 per year, or $45.4 per hour.
Manager, Data & AI Strategy

Manager, Data & AI Strategy

Telus Digital

Durham, NC • On-site

$122K - $143K/yr

Full-time

Posted 7 days ago

New

TELUS Digital rating

7.6

Company rating: 7.6 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

87th of 207 rated it services

Job description

Who We Are
Welcome to TELUS Digital - where innovation drives impact at a global scale. As an award-winning digital product consultancy and the digital division of TELUS, one of Canada's largest telecommunications providers, we design and deliver transformative customer experiences through cutting-edge technology, agile thinking, and a people-first culture.
With a global team across North America, South America, Central America, Europe, and APAC, we offer end-to-end expertise across eight core service areas: Digital Product Consulting, Digital Marketing Services, Data & AI, Strategy Consulting, Business Operations Modernization, Enterprise Applications, Cloud Engineering, and QA & Test Engineering.
From mobile apps and websites to voice UI, chatbots, AI, customer service, and in-store solutions, TELUS Digital enables seamless, trusted, and digitally powered experiences that meet customers wherever they are - all backed by the secure infrastructure and scale of our multi-billion-dollar parent company.
Location & Flexibility
This role will operate remotely in the United States or based out of one of our major North American office locations in Charlottesville, VA, Durham, NC, Columbus, OH, or Boston, MA.
The Opportunity
The Manager, Data & AI Strategy leads the delivery of TELUS Digital's Data & AI advisory engagements, owning client relationships and driving outcomes across AI strategy, data governance, operating model design, and enterprise transformation.
This role acts as the face of the engagement-directing teams, leading workshops, and guiding clients from initial problem definition through to clear, actionable strategies and roadmaps. Managers operate as trusted advisors, bringing structured thinking, domain or capability expertise, and the ability to translate ambiguity into forward momentum.
Beyond delivery, Managers are expected to contribute to the evolution of the practice-developing reusable frameworks, shaping ways of working, mentoring junior team members, and identifying opportunities to expand client impact.
Responsibilities
Engagement Ownership & Client Partnership
  • Own end-to-end delivery of client engagements, ensuring high-quality, on-time outcomes
  • Serve as the primary point of contact and face of the engagement
  • Build strong, trust-based relationships and act as a true partner to client stakeholders across business and technical teams
  • Identify gaps between business ambition and current data/AI capabilities, and clearly articulate implications and risks
Workshops, Facilitation & Executive Advisory
  • Design and lead client workshops across AI strategy, use case prioritization, governance, and operating model design
  • Craft and deliver compelling, executive-level narratives that guide stakeholders from problem definition through to clear actions and outcomes
  • Drive discussions that lead to alignment, decisions, and commitment to action
  • Present and defend strategic recommendations to client stakeholders
  • Challenge assumptions and guide clients toward pragmatic, value-driven decisions
  • Advise on AI governance, responsible AI practices, and risk management approaches, including model oversight, policy design, and compliance considerations
Structuring Problems & Driving Outcomes
  • Translate ambiguous client needs into structured problem statements, rigorous workplans, and high-impact deliverables
  • Lead the creation and delivery of comprehensive strategic artifacts, including:
    • Maturity assessments, gap analyses, and actionable recommendations
    • Use case inventories and solution roadmaps
    • Data/AI operating models, governance frameworks, and prototype concepts
  • Distinguish between foundational investments and advanced AI initiatives to ensure pragmatic sequencing, realistic phasing, and sustainable adoption
  • Guarantee that all final outputs are highly actionable, prioritized, and explicitly aligned to measurable business value
Use Case Strategy, Prototyping & Solution Shaping
  • Lead identification and prioritization of AI and data use cases aligned to business objectives
  • Define evaluation frameworks (value, feasibility, data readiness, risk)
  • Drive the creation of lightweight demonstrations, prototypes, and proofs-of-concept to bring data and AI solutions to life
  • Partner with engineering and technical teams to develop and refine prototypes of data and AI solutions
  • Use prototypes and demos to inform decision-making, de-risk initiatives, and strengthen client confidence
Team Leadership & Mentorship
  • Direct and mentor Consultants, providing clear guidance, feedback, and coaching
  • Structure workplans, allocate resources, and manage timelines and deliverables
  • Review and elevate outputs to ensure quality, clarity, and consistency
  • Foster a high-performance, accountable team environment
Practice Development & Reusable Assets
  • Contribute to the evolution of Data & AI advisory frameworks, methodologies, and accelerators
  • Develop reusable assets and structured approaches that improve delivery consistency and speed
  • Monitor emerging trends (e.g., Generative AI, Agentic AI, data platforms) and incorporate relevant advancements into engagements
  • Help shape the practice's point of view and ways of working
Business Development & Engagement Expansion
  • Support business development efforts, including proposals, SOWs, and client presentations
  • Own identification and progression of expansion opportunities within active engagements
  • Translate client needs and workshop outcomes into follow-on initiatives and multi-phase programs
  • Partner with senior leadership to position and scope expansion opportunities
Technical Literacy
  • Awareness of cloud platforms (Azure, AWS, GCP), data pipelines (ETL/ELT, APIs), and analytics/BI tools
  • Understanding of data and AI governance concepts, including policy, risk, and compliance
  • Understanding of how data and AI systems integrate within enterprise environments (no coding required)

How You'll Make an Impact
  • Own and deliver high-quality client engagements from end-to-end with minimal oversight and exceptional execution
  • Serve as a trusted advisor and strategic partner to clients, moving beyond a traditional transactional consulting relationship
  • Lead high-impact workshops and stakeholder discussions that drive clear, decisive outcomes and forward momentum
  • Translate complex, ambiguous client challenges into structured, actionable data and AI strategies and roadmaps
  • Mentor and develop Consultants, actively coaching them into stronger, more effective practitioners
  • Contribute to the firm's growth by creating reusable assets and strengthening overall practice capabilities
  • Successfully foster long-term client relationships, naturally converting initial engagements into follow-on work and expanded accounts
Qualifications
  • Bachelor's degree in Business, Computer Science, Engineering, Data Science, or related field; Master's degree is an asset
  • 4-7 years in consulting, focusing on data strategy, AI transformation, and platform modernization
  • Proven ability to lead client-facing workstreams, manage/mentor junior team members, and support RFPs/pre-sales efforts
  • Skilled in structuring ambiguous client problems, leading stakeholder workshops, and translating business drivers (growth, efficiency, risk, CX) into technical data/AI solutions
  • Strong understanding of data management (governance, quality, integration) and AI/analytics concepts (ML, GenAI, LLMs, enterprise deployment)
  • Exceptional storytelling and communication skills, with a track record of driving executive alignment and decision-making in fast-paced and ambiguous environments
  • Experience or expertise in at least one of the following:
    • AI strategy and product strategy
    • Data governance and data management
    • Operating model design / AI CoEs
    • Change management for data and AI transformation
    • Industry expertise (e.g., Telco, Healthcare, Financial Services, CX/BPO)
  • Fluency or proficiency in French is highly desirable but not required

Equal Opportunity Employer
At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants' qualifications, merits, competence and performance without regard to any characteristic related to diversity.
We will only use the information you provide to process your application and to produce tracking statistics. Since we do not request personal data deemed sensitive, we ask you to abstain from sharing that information with us.
For more information on how we use your information, see our Privacy Policy.

What TELUS Digital employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply