Job Details
- Company: Deloitte
- Job Position: Senior Consultant | Data Analytics | Artificial Intelligence & Data | AI Insights & Engagement
- Location: Delhi, India
- Employment Type: Full-time
- Graduation: B.E / B.Tech
- Role Focus: Technical Data Product Owner
- Industry: Banking, Financial Services and Insurance (BFSI)
- Salary: ₹16 – ₹22 LPA (Estimated)
Job Overview
Deloitte is hiring a Senior Consultant in Data Analytics for its Artificial Intelligence & Data team in Delhi. The role involves working as a Technical Data Product Owner for an enterprise-scale digital data product in the BFSI sector. The selected candidate will own the product roadmap, manage requirements and priorities, work with business and technology stakeholders, and support data-driven decision-making. Strong knowledge of SQL, data products, data lineage, data modeling, data warehousing, APIs, and integrations is required.
Key Responsibilities
- Own the roadmap and delivery of an enterprise-scale digital data product.
- Manage product scope, priorities, and business outcomes.
- Work closely with business, technology, and downstream stakeholders.
- Align requirements across different stakeholder groups.
- Manage stakeholder expectations and resolve ambiguity.
- Drive teams toward clear decisions and completion of priorities.
- Translate business needs into clear and actionable requirements.
- Prioritize requirements based on value, risk, and dependencies.
- Apply strong data analysis and analytical skills to business problems.
- Use SQL for data analysis and product-related activities.
- Break down complex problems using structured problem-solving approaches.
- Identify root causes and support data-driven decision-making.
- Maintain attention to detail during requirement definition and data validation.
- Analyze issues and manage the product backlog effectively.
- Evaluate trade-offs, dependencies, and potential impacts across business and technology teams.
- Drive product ownership activities including backlog management and prioritization.
- Ensure decisions are based on business value, feasibility, and control requirements.
- Work with data lineage, data modeling, data warehousing, APIs, and integrations.
Eligibility Criteria
- Candidates should have a B.E. or B.Tech degree.
- Strong understanding of data analytics and data-driven products is required.
- Candidates should have strong hands-on knowledge of SQL.
- Understanding of enterprise data products is required.
- Candidates should be comfortable working with business and technology stakeholders.
- Ability to translate business requirements into actionable technical requirements is expected.
- Candidates should have strong analytical and structured problem-solving abilities.
- Ability to manage product priorities, dependencies, and stakeholder expectations is required.
- Candidates should be comfortable working with complex data and enterprise-scale systems.
Required Skills
- Strong SQL skills.
- Data product understanding.
- Data analysis and analytical thinking.
- Data lineage.
- Data modeling patterns.
- Data warehousing.
- APIs and system integration.
- Product roadmap management.
- Product backlog management.
- Requirements gathering and prioritization.
- Stakeholder management.
- Root-cause analysis and structured problem-solving.
- Data validation and issue analysis.
- Business and technology coordination.
- Understanding of BFSI data and business processes is an advantage.
Why Join Company?
- Work on an enterprise-scale digital data product in the BFSI sector.
- Gain experience in data product ownership and analytics.
- Work across business, technology, and downstream stakeholder groups.
- Develop expertise in SQL, data modeling, data warehousing, and data lineage.
- Get exposure to APIs, integrations, and enterprise data platforms.
- Build experience in product roadmap, backlog, and requirement management.
- Work on complex business problems using structured and data-driven approaches.
- Develop consulting and stakeholder management skills while working on enterprise data initiatives.
Important Links
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