Job Description

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Position Title
AI & Data Lead Scientist
Business Unit
ABMCPL
Department
GDNA
Location
Bengaluru
Job Purpose
The purpose of the role is to drive innovation and champion best practices while managing the entire lifecycle of a data science solution/engagement within a particular business or business unit
Business Dimensions (as applicable) (Add Rows as needed)
Number of group businesses to work with including new age businesses

• 1+

Number of business functions working with

• 2+

Number of diverse and broad technical and algorithmic innovations in AI & Data Science

• 2+

Number of reusable assets in AI & Data Science

• 1+

Number of distinct KPIs impacted

• 2+

Job Context
This role exists as part of a team that works with a business in identifying and executing high-impact AI & Data initiatives to create sustainable business impact.
This role is expected to coordinate with different stakeholders within and sometimes outside ABG to develop leading edge AI & Data-led solutions relevant to the defined business problem and to execute these initiatives up to the last mile, drive adoption & help the business realize impact of the same.
In the spirit of long term sustenance of the initiatives, the role also involves driving the transfer of the solution to the business teams post completion, executing relevant AI & Data skillset building initiatives and leading the resolution of challenges faced throughout the journey.
Principal Accountabilities (Add Rows as needed)
AI & Data Experimentation

• Explore cutting-edge AI solutions & innovations around at least one the key research areas in data science to establish their applicability and drive their experimentation as relevant to the business

Partnerships

• Explore avenues to partner with external startups, vendors and drive the governance of the relationship for either novel capability or efficient execution of the data & AI initiatives

Domain understanding

• Leverage & enhance business process understanding, domain knowledge and industry research to provide better context & relevance to the data science solution built for solving the identified business problem

Business problem solving through Data & AI

• Execute AI & Data initiatives that span one ABG business with specific accountability of the Lead being to define business problems with detailed factors & hypotheses, translate the business problem into analytics problem, develop detailed solution design accounting for user needs, establish proof of value and user acceptance of the solution

Technical problem solving

• Leverage the expertise in data & AI to create exhaustive technical roadmap and guide the team in development and execution of the same, the specific steps being data acquisition & processing, experimenting & developing data science & AI techniques most accurate & relevant, validating & publishing results, developing front end application (if any) and ultimately getting the stakeholder buy in on the same

Project Governance

• Own the entire governance of the initiatives while adhering to all technical & functional standards as well as best practices as defined in the team, create forums for reviews and highlight & resolve deviations and ensure highest standard of documentation for the same, so as to ensure quality and timeliness of solution delivery

Stakeholder management

• Develop professional relationships with mid-level management in the business, drive meetings with relevant stakeholders by establishing proper channels, ensure clear communication through the required collaterals, guide & mentor the team on the same in order to ensure seamlessness & buy in on all the initiatives

Realizing business value

• Steer the quantification of business impact of Data & AI initiatives by creating relevant frameworks, communicating through proper channels and aligning with the relevant stakeholders along with identifying reusability of the solutions across another business or business domain

Business KRA (as applicable) (Add Rows as needed)
Monetary

• Revenue growth or cost reduction through data & AI initiatives in the business

Non-Monetary

• Data & AI driven improvement in KPIs relevant to a particular business or initiative such as quality, CX, stability, risk, efficiency

Decision making & augmentation

• Decisions replaced or augmented with the use of data & AI
• Decisions improved through the use of data & AI

AI Capability

• Develop some level of data, AI capability in the business
• Drive, through examples, the data driven decision making culture

Exploration of new techniques & technologies and establish their applicability

• Conduct experiments using latest AI & Data Science research in the relevant business

Annexure - Guidelines for writing s
Job Purpose
Provide a short and accurate statement of why the job exists. One sentence is usually quite adequate - Unless two or more different & distinct jobs are done by the job holder (which is very seldom found). The aim is to state the overall significance of the job from the organization's point of view - a broad framework to which subsequent detail can be related
Business Dimensions
Specify the significant quantities on which the job has some direct or indirect impact. Provide numerical data, which give a feeling for the scope and scale of the job - representative "size" data to indicate the area of the business that the job is designed to have its major impact upon.
Some parameters that can be considered:
Financial
Useful quantities include annual budgets, project costs, annual revenue, sales turnover, assets controlled, project size, purchase value etc.
Staff
The number of subordinates, number of people working in the dept.
Other
These will vary depending on the job but may indicate some of the significant volumes associated with the job, e.g. the number of accounts for a sales job; number of portfolios managed by customer services, the number of calls received for a receptionist/ telephonist.

Skills Required