Contractor-Intelligent Automation

Job Title: Business Analyst (Contractor) Intelligent Automation

Location:

Role Type:

Team:

Basic Qualifications

• Postgraduate degree

  in Business Administration, Technology, or a related field (MBA preferred).
• 58 years of experience in

  consulting, business analysis, or transformation roles

  , preferably in technology or SDLC-focused initiatives.
• Strong understanding of the

  end-to-end Software Development Lifecycle (SDLC)

  from requirements gathering to deployment and maintenance.
• Demonstrated ability to apply

  structured, framework-based thinking

  to analyze and improve current-state processes and tools.
• Experience in

  stakeholder management

  across cross-functional and cross-organizational teams.
• Excellent

  communication and articulation skills

  ability to present findings and recommendations to senior leadership.
• Familiarity with tools and platforms commonly used across the SDLC (e.g., Jira, Confluence, Git, Jenkins, ServiceNow).
• Exposure to

  Agile, DevOps, and CI/CD

  practices.

Day-to-Day Responsibilities

• Partner with Business and Technology teams to

  assess current SDLC practices

  , tools, and pain points.
• Design and deploy

  standardized, templatized questionnaires and frameworks

  to evaluate SDLC maturity across teams.
• Conduct

  structured workshops

  to identify and analyze: Value-added activities, non-value-added steps, Process bottlenecks etc.
• Identify opportunities for

  process harmonization, automation, and AI Introduction & integration

  across the SDLC.
• Facilitate working sessions to

  break down silos

  and align stakeholders on transformation goals.
• Document findings, create actionable insights, and

  present recommendations

  to senior stakeholders.
• Collaborate with the Technology team to

  translate insights into automation opportunities

  .
• Track progress of transformation initiatives and provide regular updates to leadership.

Good-to-Have Skills

• Experience of working with large-scale enterprise IT environments (preferred Financial services background)
• Knowledge of

  AI/ML applications

  across in software development and testing.
• Familiarity with

  enterprise level frameworks

• Relevant certifications such as

  PMP, Certified Scrum Master (CSM), TOGAF

  , or equivalent.
• Experience working in

  large matrixed organizations

  with global delivery models.