Infosys BPM: Interview Preparation For Digital Solutions Consultant – Consulting & Advisory Role
Infosys BPM, the business process management subsidiary of Infosys, partners with global enterprises to design, run, and continuously improve end‑to‑end processes by combining deep domain expertise with digital technologies. Through a mix of process reengineering, analytics, AI, automation, and cloud-enabled platforms, Infosys BPM helps clients unlock measurable value-improving quality, speed, and cost while enabling resilient and scalable operations. Within this context, the Digital Technology Services (DTS) unit leads digital transformation programs that align process excellence with technology-led innovation and data-driven decision-making.
This comprehensive guide provides essential insights into the Digital Solutions Consultant – Consulting & Advisory at Infosys BPM, covering required skills, responsibilities, interview questions, and preparation strategies to help aspiring candidates succeed.
1. About the Digital Solutions Consultant – Consulting & Advisory Role
Positioned within the Digital Solutions team of Infosys BPM’s Digital Technology Services (DTS), the Digital Solutions Consultant operates at the intersection of process consulting and technology advisory. The role leads discovery across client “as‑is” processes, maps workflows and the IT landscape, identifies pain points, and quantifies improvement opportunities.
Consultants architect future‑state designs with digital levers-AI/GenAI, automation, cloud, analytics-at the core, and develop robust business cases, roadmaps, and commercial models to enable informed client decisions. They liaise closely with solution, delivery, and sales teams to shape proposals and ensure feasibility and value realization.
2. Required Skills and Qualifications
Success in this role requires a strong foundation in business and process consulting, fluency with digital technologies, and polished client-facing skills. Below are the essentials, organized by education, core competencies, and technical capabilities.
Educational Qualifications
- Mandatory: MBA in Finance / HR.
Key Competencies
- Communication & Collaboration: Excellent communication and presentation skills. Liaise with multiple internal teams. Work closely with the sales team.
- Analytical Thinking: Strong business acumen and innovative thinking. Good with numbers, calculations, and translating to commercial models.
- Problem-Solving: Identify areas of opportunities and improvements. Mine opportunities for digital-led transformation.
Technical Skills
- Domain Knowledge: Foundational knowledge of AI, Gen AI, Agentic AI, Cloud (hyper-scalers), Finance & Accounting. Reasonable Understanding of BPM (Business Process Management).
- Software Proficiency: Knowledge of PowerPoint, MS Excel, and Word is a MUST.
- Consulting & Implementation: Conduct detailed study and documentation of client's as-is processes. Create detailed proposals outlining future state processes with technology levers. Carve out tangible/intangible benefits, business cases, implementation roadmaps, and commercial models. Present proposals to clients and move forward with SOW closure. Handover implementation scope to the Delivery team.
3. Day-to-Day Responsibilities
The role blends consulting rigor with technology advisory. Typical rhythms include discovery, solutioning, business case building, proposal development, and stakeholder engagement, culminating in a clean handover to delivery. Core responsibilities include:
- Conduct detailed studies of the client's "as-is" business processes.
- Create comprehensive documentation, including process maps, IT landscapes, process flows, and a summary of key challenges and improvement areas.
- Identify opportunities for digital-led process transformation by leveraging a combination of technology and people.
- Develop detailed proposals outlining a future-state process with technology as the core transformation lever.
- Carve out tangible and intangible benefits, create business cases, develop implementation roadmaps, and propose commercial models.
- Liaise with multiple internal teams to review and finalize the proposal.
- Present the proposal to the client and support the closure of the Statement of Work (SOW), then hand over the implementation scope to the Delivery team.
- Work closely with the sales team to understand business needs and requirements to enable a strong proposal foundation.
4. Key Competencies for Success
Top performers combine consulting structure with credible technology fluency and strong client presence. The following competencies consistently differentiate successful Digital Solutions Consultants.
- Structured Problem Solving: Uses hypothesis-driven approaches and prioritization to cut complexity and focus on the highest-value issues.
- Executive Storytelling: Synthesizes insights into succinct narratives backed by data, enabling alignment and swift decision-making.
- Value Engineering: Builds defensible business cases; links process KPIs to financial impact and strategic outcomes.
- Change Leadership: Anticipates adoption risks, designs change interventions, and secures stakeholder commitment.
- Tech-to-Business Translation: Explains AI/cloud/BPM choices in terms of risk, cost, feasibility, and business value.
5. Common Interview Questions
This section provides a selection of common interview questions to help candidates prepare effectively for their Digital Solutions Consultant – Consulting & Advisory interview at Infosys BPM.
Give a concise narrative linking your education, consulting exposure, and digital/process interests to this role.
Show understanding of Infosys BPM’s digital-first BPM approach and how consulting in DTS aligns with your goals.
Use a structured story (context–action–result); focus on framing, data, and outcomes.
Explain criteria like value, feasibility, risk, and alignment with client outcomes.
Show how you clarified objectives, set assumptions, and iterated with stakeholders.
Contrast high-level, outcome-led executive updates with detailed SME-level discussions.
Own the gap, show corrective actions, and relate improvements to consulting practice.
Discuss planning, milestones, buffers, and stakeholder touchpoints.
Emphasize empathy, evidence, options, and co-creation.
Tie motivation to impact, learning, and client value realization.
Prepare 5–6 STAR stories mapped to core competencies: influence, problem solving, leadership, conflict, and results.
Describe scoping, stakeholder interviews, BPMN mapping, metrics capture, and systems landscape.
Examples: document intelligence, summarization, knowledge retrieval, agentic triage, and conversational support.
Contrast autonomy and reasoning vs. deterministic RPA; address controllability, risk, and oversight.
Mention security, integration, scalability, cost models, latency, and vendor services alignment.
Baseline, levers, unit economics, sensitivity, timeline, and risk-adjusted realization.
Process orchestration, governance, visibility, and continuous improvement underpin value realization.
Cycle time, first-pass yield, cost per transaction, DSO/DPO, accuracy, and SLA adherence.
Fragmented sources, inconsistent master data, unstructured documents, privacy, and access controls.
Assess time-to-value, TCO, differentiation, skills, vendor lock‑in, and scalability.
Bias, hallucination, privacy, security, and drift; mitigate with guardrails, testing, monitoring, and human‑in‑the‑loop.
Ground answers in client outcomes-speed, accuracy, compliance, cost-and show how tech choices drive those outcomes.
Reframe to outcomes, prioritize use cases by value/feasibility, pilot, and scale with governance.
Triangulate with logs/samples, clarify definitions, run a playback session, and agree on a baseline.
Share assumptions, sensitivity ranges, benchmarks, and phased realization with controls.
Define decision criteria, run a quick proof/scorecard, and align on time-to-value vs. differentiation.
Create change logs, quantify impact, offer options, and protect timeline/quality.
Verify data, isolate root causes, rollback/feature-flag if needed, and execute a stabilization plan.
Facilitate a value-tree workshop; codify KPIs, targets, and measurement cadence.
Explore API/RPA workarounds, data virtualization, or phased modernization; manage risk.
Design for users, pilot champions, training, dashboards, and feedback loops.
Trade value: adjust scope/phasing/commercials while preserving unit economics.
Use MECE, 80/20, and clear assumptions; quantify impact and show a path to de‑risk and deliver.
Highlight scope, tools, findings, and quantified impact.
Explain drivers, assumptions, sensitivity, and governance.
Cover storyline, differentiation, commercials, and executive alignment.
Discuss the use case, guardrails, KPIs, and results.
Outline roles, handoffs, risks, and how you ensured feasibility.
Be specific about structures and the rationale behind them.
Share depth in a few areas (e.g., P2P, O2C, H2R) and relevant metrics.
Explain hierarchy, visuals, and takeaway.
Mention assumptions, PoCs, capacity, dependencies, and risks.
Describe a cadence for labs, certifications, and practical application.
Map each resume bullet to a measurable outcome. Be ready with artifacts: process maps, models, slides (redacted).
6. Common Topics and Areas of Focus for Interview Preparation
To excel in your Digital Solutions Consultant – Consulting & Advisory role at Infosys BPM, it’s essential to focus on the following areas. These topics highlight the key responsibilities and expectations, preparing you to discuss your skills and experiences in a way that aligns with Infosys BPM objectives.
- Process Discovery & BPMN Mapping: Practice scoping, stakeholder interviews, and documenting processes, systems, controls, and metrics.
- AI/GenAI and Agentic Patterns in BPM: Study use cases (document processing, chat/assist, retrieval, decision support) and risk controls/guardrails.
- Cloud & Integration Basics: Understand hyperscalers’ services, integration patterns, scalability, security, and cost considerations.
- F&A and HR Domain KPIs: Brush up on DSO/DPO, close cycle time, first‑pass yield, cost per transaction, and HR lifecycle metrics.
- Business Case & Commercial Modeling: Build ROI/TCO models, phased roadmaps, and SoW considerations with clear assumptions and sensitivity.
7. Perks and Benefits of Working at Infosys BPM
Infosys BPM offers a comprehensive package of benefits to support the well-being, professional growth, and satisfaction of its employees. Here are some of the key perks you can expect
- Learning and Certifications: Access to continuous learning (e.g., Infosys learning platforms) and role‑aligned upskilling opportunities.
- Health and Wellness: Medical coverage and wellness initiatives, along with employee assistance resources.
- Retirement and Insurance: Competitive savings/retirement options and risk coverage as per policy and location.
- Global Exposure & Mobility: Opportunities to work with global clients and collaborate across the Infosys group.
- Flexible Benefits & Leave: Policies that support work‑life balance, with leave options per local regulations and company guidelines.
8. Conclusion
The Digital Solutions Consultant – Consulting & Advisory role at Infosys BPM demands a rare blend of structured problem solving, technology fluency, and client-facing excellence. By mastering process discovery, solution design with AI/cloud/BPM, and rigorous business case modeling, you can demonstrate impact and credibility.
Prepare compelling stories, polish your executive communication, and be ready to translate technical choices into business outcomes. With exposure to end‑to‑end digital transformation across industries, Infosys BPM offers a strong platform for growth into strategy, solution architecture, or client leadership roles. Thorough preparation and clear, outcome‑led narratives will set you apart.
Tips for Interview Success:
- Lead with outcomes: Quantify impact in every example (cycle time, accuracy, cost, experience).
- Show tech fluency: Explain where and why to apply AI/GenAI, automation, and cloud with risks and guardrails.
- Tell a tight story: Use crisp slides and MECE structure to align executives quickly.
- Defend the numbers: Bring a clear benefits model with assumptions, sensitivity, and realization plan.