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Data And Ai 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 ...

TELUS Digital

Manager, Data & AI Strategy

Durham, NC · On-site

$100 - $130/hr

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 ...

Jaggaer

Architect, Data AI

Durham, NC · On-site

$61.50 - $79.25/hr

You will architect production-grade AI systems, raise the technical bar across data science and ML engineering, and partner directly with product, engineering, and customer-facing leaders to ...

Gilead

Platform Delivery Lead, Data & AI

Raleigh, NC · On-site

As the Platform Delivery Lead, Data & AI at Gilead you will ... Key Responsibilities * Own end-to-end delivery including timeline and technical quality of Data and AI platform products and ...

Deloitte

Project - Data Engineer II

Raleigh, NC · On-site

$111K - $133K/yr

... Data - AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud ...

Accenture

Sr. Applied AI Engineer (Claude/Codex)

Raleigh, NC · On-site

$119K - $157K/yr

We Are We are entering a new decade of Data & AI that will reshape work and society. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and ...

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Data And Ai information

What are the key skills and qualifications needed to thrive as a data and AI specialist?

To thrive as a Data and AI Specialist, you need strong analytical skills, a solid background in mathematics or computer science, and proficiency in programming languages such as Python or R. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), data visualization tools, and cloud platforms is typically required, along with relevant certifications such as Microsoft Certified: Azure AI Engineer or Google Professional Data Engineer. Excellent problem-solving abilities, collaboration, and effective communication are essential soft skills that help in translating complex data insights into actionable business strategies. These skills and qualities are crucial for developing impactful AI solutions, ensuring data-driven decision-making, and driving innovation within organizations.

What are some typical challenges faced by professionals working in data and AI roles, and how can they be addressed?

Professionals in Data and AI roles often encounter challenges such as managing large and complex datasets, ensuring data quality, and addressing biases in AI models. Additionally, staying current with rapidly evolving technologies and tools can be demanding. Collaborating closely with cross-functional teams—including data engineers, business analysts, and stakeholders—helps ensure that solutions are both technically sound and aligned with business goals. Regularly participating in training and industry forums can also aid in keeping skills up to date and overcoming these challenges.

What is the difference between Data And Ai vs Data Analyst?

AspectData And AiData Analyst
Required CredentialsDegree in Computer Science, Data Science, or related fields; certifications in AI/MLDegree in Statistics, Mathematics, or related fields; proficiency in data visualization tools
Work EnvironmentTech companies, AI startups, research labs; focus on developing AI models and algorithmsBusiness environments across industries; focus on analyzing data to inform decisions
Employer & Industry UsageUsed in AI development, machine learning projects, and automationUsed in business intelligence, reporting, and data-driven decision making

Data And Ai professionals focus on creating AI models and algorithms, often requiring advanced programming and machine learning skills. Data Analysts interpret data to generate insights, reports, and support decision-making. While both roles work with data, Data And Ai roles are more technical and development-oriented, whereas Data Analysts focus on analysis and visualization.

What is a data and AI job?

Data and AI jobs refer to roles that focus on collecting, processing, analyzing, and interpreting large sets of data using artificial intelligence and machine learning techniques. These positions include data scientists, machine learning engineers, data analysts, AI researchers, and related professions. The goal of these jobs is to extract meaningful insights from data, build predictive models, and develop intelligent systems that can automate or enhance decision-making processes in various industries.
What are popular job titles related to Data And Ai jobs in Raleigh, NC? For Data And Ai jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Data And Ai jobs in Raleigh, NC look for? The top searched job categories for Data And Ai jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Data And Ai jobs? Cities near Raleigh, NC with the most Data And Ai job openings:
Data And Ai jobs near you
Infographic showing various Data And Ai job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Manager, Data & AI Strategy

Telus Digital

Durham, NC • On-site

$122K - $143K/yr

Full-time

Re-posted 7 days ago

TELUS Digital rating

7.6

Company rating: 7.6 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

104th of 223 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.

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