Job Description

Responsibilities:
Position Title Senior Consultant - Data Analytics (Data SME) for Information Services (IS)
Position Location Pune
Work Hours 1:30 PM - 10:30 PM
Role Description:
Principal is hiring a Senior Consultant - Data Analytics (Data Subject Mater Expert) for Information Services (IS) Business Unit (BU), to mature the Data & Analytics practice for the global Enterprise IT landscape.
This role requires deep expertise in Engineering aspects of data management, analytics, and business intelligence, with a strong understanding of how data supports IT operations and decision-making.
Joining location: Pune
Primary Responsibilities
Key Focus areas: Data & Analytics Engineering, related to Enterprise IT
Key Responsibilities:

• Act as the global point of contact for data-related inquiries within the Information Services team
• Partner with IS & BU stakeholders to assess and provide recommendations for various data use cases
• Develop and maintain data dictionaries, metadata repositories, and data lineage documentation.
• Support data governance initiatives, including data quality assessments and remediation plans.
• Provide subject matter expertise in data/schema modelling, data warehousing, and ETL processes.
• Partner with data engineers, analysts, and IT teams to design and implement scalable data products.
• Conduct training and knowledge-sharing sessions to promote data literacy/maturity across the organization.
• Stay current with industry trends, tools, and best practices in data management and analytics.
• Perform assessments related to technology standards and value frameworks as part of ongoing Governance
• Design and implement reliable and efficient data-pipelines and analytic solutions
• Develop and own the IS Data Foundation, playbooks and frameworks (standards, patterns, sample codes, integrations, tooling, repos, knowledge bases etc.)
• Integrate data from a variety of systems into refined data products available to the rest of the enterprise and Data Consumers
• Collaborate concurrently with multiple delivery teams in various stages of the Data Product lifecycle
• Partner with global Enterprise Architecture, Enterprise Data & Analytics team to keep progressing the maturity of the Data practices
• Partner with AI teams for data presentation to AI systems

Required Years of Experience 10 - 15 years
Required Educational Qualification Graduate - Bachelor's degree (Engineering)
Must have

• Certifications related to Data technologies like Snowflake, Data360, databases or data warehouse technologies

Good to have

• AWS Certified Data Engineer - Associate
• Certification/Training on Informatica etc

Required Technical Skills & candidate profile Must have

• Worked in large Enterprise setup with matrix reporting
• Expert knowledge of Snowflake, Data360, data features of AWS, Power BI, QuickSight, SQL, Python, GitHub
• Experience in building enterprise data architecture, including data lakes, data warehouses, integrations for data ingestion, and real-time data pipelines
• Experience of DataOps practices for continuous delivery of data solutions.
• Excellent communication and stakeholder management skills
• Strong analytical and problem-solving abilities

Good to have

• Knowledge of Agile methodologies
• Knowledge of Information Services/Information Technology tooling, licensing, landscape, related data touchpoints, financials like chargeback/showback, billing, allocations

Competencies:

• Stakeholder management
• Build strong Partnership
• Get results
• Act Strategically
• Lead & Cultivate Talent

Qualifications:
Must have

• Certifications related to Data technologies like Snowflake, Data360, databases or data warehouse technologies

Good to have

• AWS Certified Data Engineer - Associate
• Certification/Training on Informatica etc

Required Technical Skills & candidate profile Must have

• Worked in large Enterprise setup with matrix reporting
• Expert knowledge of Snowflake, Data360, data features of AWS, Power BI, QuickSight, SQL, Python, GitHub
• Experience in building enterprise data architecture, including data lakes, data warehouses, integrations for data ingestion, and real-time data pipelines
• Experience of DataOps practices for continuous delivery of data solutions.
• Excellent communication and stakeholder management skills
• Strong analytical and problem-solving abilities

Good to have

• Knowledge of Agile methodologies
• Knowledge of Information Services/Information Technology tooling, licensing, landscape, related data touchpoints, financials like chargeback/showback, billing, allocations