Associate - Transformation Solution Consultant
Hybrid Noida Full-time Mid-level Solutions & Sales Engineering
At a glance
Mid-level Solutions & Sales Engineering role at Fa Ewjt Saasfaprod1. Noida · full-time.
Pay not stated
RoleSolutions & Sales Engineering
SeniorityMid-level
LocationNoida
WorkplaceHybrid
EmploymentFull-time
PostedJul 31, 2026 · 8w ago
Role brief
Growth Roles summary, based on the employer's posting.
What you'll do
- Turn business problems into AI-enabled solution options, assessing feasibility, impact, and available data
- Analyze processes and operational data to expose root causes, inefficiencies, benefits, and business-case value
- Run stakeholder workshops covering processes, pain points, controls, data touchpoints, and AI opportunities
- Create current- and future-state maps, SOPs, journey maps, RACI artifacts, presentations, and senior-level narratives
- Support consulting engagements from proposal to final output, validating results and tracking delivery progress
What you bring
- A bachelor's degree, preferably in business administration or a related discipline
- One to three years in business analysis, consulting, analytics, or a comparable role
- Hands-on Excel, PowerPoint, and at least one of Power BI or Tableau
- Experience gathering requirements, working with stakeholders, and applying structured problem solving
- Working knowledge of process improvement, data analytics, digital transformation, and AI tools
Who this fits
This role suits an early-career consultant who can combine business analysis, process work, data interpretation, and executive communication. Insurance experience is preferred, while AI application experience is an advantage. The position is hybrid and based in Noida, India.
From the employer
Business Analytics and Delivery Skills
- Requirement gathering, stakeholder management, and structured problem solving
- Data analysis, visualization, and exposure to AI-enabled tools (Power BI, Tableau, Excel)
- Define data needs, perform data preparation, and support AI-driven reporting
- Process analysis, documentation, and identification of improvement opportunities
- Executive-ready presentation and structured storytelling skills
- Understanding of governance, coordination, and delivery tracking
- Translate data and process insights into clear, actionable outcomes
Solution Shaping, Domain & AI-Enabled Capabilities
- Translate business problems into data-driven or AI-enabled solution opportunities
- Identify and evaluate use cases based on feasibility, impact, and data availability
- Apply domain context to guide solution outputs, quality expectations, and controls
- Define high-level solution approaches, workflows, and decision frameworks
- Conduct Current state assessments and documentation and recommend AI enabled future state
- Apply domain understanding to improve accuracy, consistency, and relevance of AI-generated outputs
- Support development of phased implementation plans aligned to business priorities
- Define validation approaches, checkpoints, and human intervention points where required
- Review and validate solution outputs to ensure alignment with business expectations
Support adoption through clear documentation, training inputs, and feedback incorporation
- Participate in end-to-end delivery of AI-enabled consulting engagements—from proposal through final outputs
- Structure problem statements, define analytical approaches, and translate findings into actionable recommendations
- Analyze business processes and operational data to identify inefficiencies, root causes, and improvement opportunities
- Conduct stakeholder workshops to capture processes, pain points, controls, data touchpoints, and AI enablement areas
- Develop current- and future-state artifacts (process maps, SOPs, journey maps, RACI) aligned to AI-driven transformation
- Perform data analysis and work decomposition to quantify impact, benefits, and business case value
- Create executive-ready presentations, narratives, and deliverables for senior stakeholders
- Collaborate with cross-functional teams to validate insights, shape AI-driven solutions, and track emerging AI and industry trends
- Bachelor’s degree (preferably in Business Administration or related field)
- 1–3 years of experience in business analysis, consulting, analytics, or related roles
- Strong analytical thinking and structured problem-solving skills
- Experience in stakeholder interaction and requirement elicitation
- Proficiency in Excel, PowerPoint, and at least one visualization tool (Power BI / Tableau)
- Strong communication skills (written and verbal)
- Understanding of process improvement, data analytics, and digital transformation concepts
- Prior work experience and knowledge in the Insurance domain will be preferred
- Experience in working with AI tools and applications will be an advantage
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