Jobs
Job Title: Consultant – Data & AI
Department: Public Service Data & AI – Growth Network
Location: Mumbai, Bangalore, Gurgaon
Reporting To: Manager/Senior Manager Data & AI
Job Summary
We are seeking an experienced Data & AI Consultant to lead and deliver client-facing projects focused on data strategy, AI adoption, and analytics transformation. The ideal candidate has a strong foundation in data engineering, analytics, machine learning, stakeholder management, and project delivery. This role requires the ability to translate business problems into data-driven solutions and manage end-to-end project lifecycle while collaborating with cross-functional teams.
Key Responsibilities
Client Engagement & Project Management
- Lead end-to-end delivery of Data & AI consulting engagements.
- Act as primary point of contact for client stakeholders and executives.
- Understand business requirements and convert them into technical roadmaps.
- Manage project planning, timelines, budgets, and risk mitigation.
- Drive workshops, requirements sessions, demos, and client presentations.
- Ensure project quality, governance, and successful business outcomes.
Data & AI Solutioning
- Define data and AI strategy, architecture, and implementation approach.
- Conduct data assessments, maturity analysis, and technology recommendations.
- Design and develop data pipelines, data models, dashboards, or ML prototypes (as needed).
- Support development and deployment of AI/ML models or generative AI applications.
- Apply best practices for data governance, security, and responsible AI.
Technical Leadership (Hands-on or Oversight)
- Guide technical teams (data engineers, analysts, ML engineers) in solution delivery.
- Review architecture, data models, and AI model performance.
- Support POCs and MVPs to validate solution feasibility.
Business Consulting & Value Delivery
- Identify business problems and opportunities to drive data-enabled transformation.
- Develop business cases, ROI calculations, and adoption frameworks.
- Support change management, enablement, and AI literacy initiatives.
Required Qualifications
- Bachelor's/Master’s in Computer Science, Engineering, Data Science, or related field is preferred.
- 3–5+ years of experience in Consulting / Data & AI / Digital Transformation.
- Proven experience leading and delivering client projects.
Technical Skills
Experience in one or more of the following areas:
- Data platforms: Azure / AWS / GCP
- Data engineering tools: Databricks, Spark, SQL, ETL tools
- BI & analytics: Power BI, Tableau, Looker, Excel
- AI/ML: Python (Pandas, Scikit-Learn, Py Torch/Tensor Flow optional), LLM applications
- Databases & cloud storage: SQL/NoSQL systems
- MLOps & DevOps (bonus): CI/CD, ML deployment pipelines
- Mastery of project delivery frameworks: Agile / Scrum / Kanban
Soft Skills
- Strong communication & stakeholder management
- Business problem-solving and analytical mindset
- Ability to collaborate with multi-disciplinary teams
- Client-facing experience and executive communication skills
- Proactive, structured, and detail-oriented approach to delivery
Preferred
- Certification(s): Azure/AWS/GCP Data/AI, Scrum Master, PMP
- Experience with Generative AI solutions and LLM frameworks
- Experience in consulting or digital transformation programs
Success Metrics
- Client satisfaction & successful project delivery
- Achievement of project milestones, financial targets, and ROI outcomes
- Quality of deliverables and innovation in Data & AI adoption
- Growth of client relationships and potential project expansion
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
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About Accenture

Accenture
PublicLet there be change.
10,001+
Employees
Dublin
Headquarters
Reviews
4.0
10 reviews
Work Life Balance
3.5
Compensation
4.0
Culture
4.2
Career
4.1
Management
4.0
75%
Recommend to a Friend
Pros
Great learning and development opportunities
Supportive and collaborative work environment
Good career growth and networking opportunities
Cons
Need to be proactive in finding projects
Long hours during busy periods
Very competitive environment for advancement
Salary Ranges
33 data points
L2
L3
L4
L5
L6
M3
M4
M5
M6
L2 · Business Operations L2
0 reports
$55,250
total / year
Base
$22,100
Stock
$27,625
Bonus
$5,525
$38,675
$71,825
Interview Experience
6 interviews
Difficulty
2.7
/ 5
Duration
14-28 weeks
Offer Rate
17%
Experience
Positive 0%
Neutral 50%
Negative 50%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical/Task-Based Interview
4
Final Interview
5
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
Past Experience
Case Study
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