S&C Global Network - AI - Public Services- Consultant
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, PyTorch/TensorFlow 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
Mumbai
Equal Employment Opportunity Statement for Australia and New Zealand
At Accenture, we recognise that our people are multi-dimensional, and we create a work environment where all people feel like they can bring their authentic selves to work, every day.
Our unwavering commitment to inclusion and diversity unleashes innovation and creates a culture where everyone feels they have equal opportunity. Our range of progressive policies support flexibility in ‘where’, ‘when’ and ‘how’ our people work to ensure that Accenture is an organisation where you can strive for more, achieve great things and maintain the balance and wellbeing you need.
We encourage applications from all people, and we are committed to removing barriers to the recruitment process and employee lifecycle. All employment decisions shall be made without regard to age, disability status, ethnicity, gender, gender identity or expression, religion or sexual orientation and we do not tolerate discrimination. If you require any accommodations or adjustments for interviews and/or at work, please reach out to exectalent@accenture.com or contact us at +61 2 9005 5000 (Australia) or +64 44666056 (New Zealand).
To ensure our workplace is inclusive and diverse we are setting bold goals and taking comprehensive action. To achieve these goals, we collect information that allows us to track the effectiveness of our Inclusion and Diversity programs. Learn how Accenture protects your personal data and know your rights in relation to your personal data. Read more about our Privacy Statement.
We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.
We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.
At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.
Join Accenture to work at the heart of change. Visit us at www.accenture.com.