Tata Insights & Quants - Analytics Client Partner

Mumbai - Work From Office - Billable Role

Role & responsibilities:

Key Objectives:

- Establishing Tata iQ as a Data, Analytics and AI Thought Partner and end to end analytics solution provider.

- Own the delivery of data, analytics and AI solutions, ensuring (a) business value for the client (b) efficient and sustainable internal operations, i.e., meeting threshold contribution margin.

- Demand creation for data, analytics and AI solutions.

Key Responsibilities:

The focus of this role is to partner with Tata Group Companies in their data & analytics maturity journey. It will involve an understanding of business objectives, translation into analytics solutions, value proposition and business case building, proposal creation & discussion, program management of analytics projects, change management for adoption, and measurement of business value.

Data, Analytics & AI Subject Matter Expertise:

- Recommendation to the Client on the relevant best practices in analytics and AI.

- Conceptualization of the analytics projects business use-cases basis Client business objectives.

- Solution Design, and detailed plan with activities and timelines.

- Efficiently partner with the data and analytics skills & capabilities available with the Client and Tata iQ.

Analytics & AI Business Partner:

- Gathering of requirements from business teams across the Client organization.

- Transforming requirements into data driven project solutions.

- Coordination across stakeholders for synergy.

- Hand holding functional users in deployment of solutions.

Solution Delivery:

- End to end ownership of delivery, including program management of projects.

- Detailing out the identified projects into subtasks, assigning responsibility matrix and timelines.

- Monitoring the progress of projects and providing feedback to management.

- Applying the best practices in project management.

Demand Creation:

- Understand the business objectives of group companies, to identify and propose data, analytics and AI solutions.

- Proposal creation, discussion and finalisation with the group companies stakeholders spalling business, technology and procurement.

Requirements/Skill sets:

Must-have technical skills:

- A through understanding of analytics techniques like logistic regression, clustering and segmentation, machine learning techniques.

- Familiarity with AI tools, and exposure to leveraging AI solutions in large scale production environments.

- Advanced proficiency with MS Office (Excel, Word, PowerPoint).

- Retail or Financial Services domain expertise.

Must-have soft skills:

- Problem Solving and lateral thinking.

- Excellent written and oral communication skills.

- Good interpersonal, problem solving, reasoning and analytical skills.

- People Management Experience, managing performance of team.

- Ability of depicting the results of a statistical analysis in an easy-to-understand manner.

- Detailed oriented, organized, demonstrated ability to manage multiple projects simultaneously.

- Change Management.

Preferred candidate profile:

- This individual must be comfortable working at the highest levels of client organizations and interacting closely with the C level executives in a range of environments.

- At the same time, the individual must be able to articulate operational details for actionable interactions with middle management.

- Importantly, the individual must possess the hands-on technical capability to guide, groom, and when needed showcase to analysts best practices and apt implementations.

- The incumbent must possess Executive Presence and people skills, this will be required to manage relationships across levels.

- The individual should possess an impressive executive demeanor, a team oriented and collaborative approach, and excellent presentation skills, including strong oral and writing capabilities.

- The individual should have demonstrated entrepreneurial instinct with a strong understanding of operating and scaling a business.

- The individual should possess and demonstrate high integrity and credibility as perceived by all those with whom s/he will work.

Education qualifications and Desired Experience:

- Preferably a Bachelors or Masters in Engineering (Computer Science and Allied fields preferable), Economics, Finance, Mathematics, Statistics.

- Minimum 2 Years of Experience in Consulting as a Client Partner, driving client outcomes through data, analytics and AI; or Experience as an in-house Data, Analytics and AI leader having led workstreams / projects for the company.

- Experience of managing multiple Business priorities and initiative.