Manager Analytics

Aditya Birla Capital; Maharashtra; On-site; INR 2,000,000 - 4,000,000; Full time

Job summary

Aditya Birla Capital is seeking a Product Manager to oversee a team of data scientists and analysts, directing the design process from research and ideation to product concepts. You will collaborate with stakeholders to develop cohesive data plans, define the product vision, and work with engineering, sales, marketing and support to ensure growth and customer satisfaction.

This role emphasizes data governance, security and compliance with financial services regulations while delivering

Responsibilities

• Collaborate with senior leadership to define and execute the organization's data strategy.
• Identify opportunities for leveraging data to drive business growth, optimize processes, and improve decision-making.
• Lead the development of predictive models, machine learning algorithms, and data-driven solutions.
• Collaborate with data scientists to design experiments, analyze data, and derive actionable insights.
• Ensure model accuracy, robustness, and scalability.
• Establish and enforce data governance policies and best practices.
• Ensure data privacy, security, and compliance with relevant regulations (e.g., GDPR, HIPAA).
• Implement data quality and data lineage processes.
• Manage budgetary considerations, including resource allocation and procurement of necessary tools and technologies.
• Evaluate and recommend new data science tools and platforms to enhance productivity.

Job description

Job Purpose

Responsible for overseeing and managing a team of data scientists and analysts.. Managing all aspects of the design process, from research and ideation to creative conceptualization and designing of products. Collaborating with stakeholders to research and develop cohesive design plans, concepts and prototypes

Job Context & Major Challenges

Job Context

Managing all aspects of the design process, from research and ideation to creative conceptualization and designing of products. Collaborating with stakeholders to research and develop cohesive design plans, concepts and prototypes.

Other Major Challenges

Maintaining high quality and delivering a positive user experience can be challenging in a complex and rapidly evolving environment Working within the strict infosec guidelines, rules and laws that govern the financial services sector.

• Understanding the process and delivering the same to the standards of the organization.

Responsible for the product planning and execution throughout the Product Lifecycle, including: gathering and prioritizing product and customer requirements, defining the product vision, and working closely with engineering, sales, marketing and support to ensure revenue and customer satisfaction goals are met. The Product Manager also ensures that the product supports the company’s overall strategy and goals.

Major Challenges

With such a diverse team, communication has to be seamless. Even excellent product roadmaps can fall apart due to misunderstandings and miscommunication.

Key Result Areas

KRA (Accountabilities) (Max 1325 Characters)

Supporting Actions (Max 1325 Characters)

KRA1 Data Strategy Collaborate with senior leadership to define and execute the organization's data strategy.

Identify opportunities for leveraging data to drive business growth, optimize processes, and improve decision-making

KRA2 Model Development and Analysis Lead the development of predictive models, machine learning algorithms, and data-driven solutions.

Collaborate with data scientists to design experiments, analyze data, and derive actionable insights.

Ensure model accuracy, robustness, and scalability.

KRA3 Data Governance and Compliance Establish and enforce data governance policies and best practices.

Ensure data privacy, security, and compliance with relevant regulations (e.g., GDPR, HIPAA).

Implement data quality and data lineage processes

KRA4 Resource Management: Manage budgetary considerations, including resource allocation and procurement of necessary tools and technologies.

Evaluate and recommend new data science tools and platforms to enhance productivity.