Manager - IT Business Analysis

Marsh

Chhalera

Hybrid

INR 1,200,000 - 1,800,000

Full time

3 days ago
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Job summary

Marsh invites applications for a Manager - IT Business Analysis - AI based in Noida or Gurgaon. This hybrid role requires you to work in the office at least three days a week and is part of Marsh Tech’s People & Investment group.

You will lead cross‑functional squads, coordinate backlog activities, and translate strategic requirements into epics and user stories. You will collaborate with Product Owners, data engineers, AI specialists and stakeholders to plan releases, refine the backlog, and

Qualifications

  • Experience leading IT/business analysis in agile environments.
  • Ability to translate business needs into epics and user stories.

Responsibilities

  • Lead cross-functional squads and coordinate backlog activities.
  • Facilitate sprint planning, backlog refinement, and release planning.
  • Collaborate with Product Owners, data/AI engineers, and stakeholders to align with the roadmap.

Skills

Agile practices
Backlog management
Requirements elicitation
Cross-functional leadership
Stakeholder communication

Tools

Jira
Confluence

Job description

Company: Marsh

Description:

Internal Job Posting
Last date to apply : 28th Oct

We are seeking a talented individual to join Marsh People & Investment at Marsh Tech. This role will be based in Noida/Gurgaon. This is a hybrid role that has a requirement of working at least three days a week in the office.

Manager - IT Business Analysis - AI
Role Overview

The Senior Systems Analyst is a role in our scaled agile framework POD and Squad model. As part of a POD team the Senior System Analyst will support one or more cross-functional squads comprised of a Squad Lead, Developers, a System Analyst, and Quality Assurance Engineers committed to ensuring the successful design and delivery of complex application solutions centered on the strategic roadmap for one or more key technology capabilities within MMC. The Senior System Analyst will be primarily responsible for directing the cross-functional elicitation and elaboration of requirements across squads in an Agile Team setting.

As part of your daily activities, you will collaborate with the Product Owner and teams to manage tactical aspects of iteration planning such as the squads' backlog, backlog grooming, user story refinement, user story estimation, facilitating Sprint Reviews, and participating in Agile Ceremonies. As a trusted part of a team, you will coordinate activities with up to four System Analysts across squads to ensure just-in-time development of the story.

You will also assist the Product Owner in the development of personas, customer journey maps, story maps and release planning to foster insights and understanding of vision for the team.

We will count on you to:

  • Be a highly motivated team player working within MMC Agile culture, within a specified agile framework of Scrum or KANBAN and maintain a willingness for continuously improving your agile mindset.
  • Direct analysis on critical initiatives requiring significant strategic change across multiple platforms and products.
  • Ensure that teams are consistently converting the business requirements to solutions, consisting of epics and features, considering technical constraints and existing technical architecture/functionality.
  • Work with the Product Owner to communicate the product vision, roadmap, value, and MVP to the agile teams to enable empathy and a shared understanding thereby helping the team to formulate an appropriate solution.
  • Collaborate with the Pod Leadership, Product Owner, and stakeholders to create Persona's, Story Maps, and a Release Plan for the project.
  • Work in partnership with the Product Owner and agile teams in the creation and maintenance of Product Backlog Items ensuring that Epics and User Stories are continuously prioritized and aligned to the Product Roadmap and MVP.
  • Facilitate refinement sessions with the Agile Teams and Business to sufficiently detail out User Stories, to include dependencies.
  • Facilitate the Sprint Review ceremony by working with the agile teams, Product Owner, Business and Customer to review, assess and adapt the latest product increment by incorporating customer insights and feedback into the Product Backlog.
  • Actively work with Pod Leadership by running assessments processes for the POD and provide constructive feedback towards continuously improving the Systems Analyst function, standards and processes in Global Technology.
  • Lead workshops and work collaboratively with data engineers, data architects, technical experts, and AI engineers to integrate AI solutions into a POD.
  • Demonstrate an awareness of MMC and Mercer Technical, Security and Process Standards and work with the team to incorporate them in product delivery through the software development life cycle.

What you need to have:

  • Highly motivated candidate who is an inquisitive rapid learner that is comfortable working as part of a remote team.
  • Possess strong communication skills with the capability of working collaboratively within the organization, regardless of boundaries.
  • An effective communicator for both technical and business-oriented audience.
  • Demonstrated requirements gathering skills showcasing the capture of customer needs and business drivers using a variety of techniques into product backlog items such as Epics and User Stories.
  • Proven quantitative, analytical, and problem-solving skills.
  • Skilled in providing process improvement and integration opportunities with other process automation tools.
  • Self-motivated and ability to learn through research and self-training.
  • Ability to remove impediments for squads by providing timely responses and solutions as required.
  • Ability to find resolutions regarding own work methods requiring minimal direction.
  • Be willing to respond to emergent changes rather than focused on existing plans.
  • Familiarity with AI concepts and technologies, including machine learning, natural language processing and data analytics, while ensuring compliance with AI governance frameworks. Leverage these technologies to enhance user experiences and improve decision-making pr
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