Manager Analytics

PeopleStrong

Thane

On-site

INR 1,200,000 - 2,000,000

Full time

5 days ago
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Job summary

AB Financial Shared Ser Ltd in Maharashtra, Thane, invites a data product leader to oversee a team of data scientists and analysts, guiding research from ideation to product design and prototyping.

You will collaborate with stakeholders to define the product vision, gather requirements, and drive delivery across engineering, sales, marketing, and support, while navigating infosec guidelines in the financial services sector.

Qualifications

  • Data-driven mindset with ability to transform data into actionable insights.
  • Experience leading data teams or projects in a financial services context is a plus.
  • Strong communication and stakeholder management skills.

Responsibilities

  • Collaborate with stakeholders to define data-driven product requirements.
  • Oversee and mentor a team of data scientists and analysts across the product lifecycle.
  • Ensure accuracy, robustness, and scalability of models and analytics solutions.
  • Maintain data governance, privacy, and regulatory compliance across projects.

Skills

Data Analysis
Project Management
Analytics

Education

Post Graduate

Job description

BUSINESS_UNIT-1 AB Financial Shared Ser Ltd

BUSINESS_UNIT-2 Digital & Analytics

BUSINESS_UNIT-3 AB Financial Shared Ser Ltd

Country India

State Maharashtra

Worksite G-Corp Tech Park, Thane

Function Digital

Skills
Skill

Data Analysis Project Management Analytics

Post Graduate

CERTIFICATION
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:
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.

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