Senior AVP – Solution Architect

Solution Design & Architecture

Own end-to-end solution design for BCM opportunities—translating client requirements into structured, commercially viable solution constructs.
Develop detailed solution blueprints encompassing operating model, technology stack, AI/GenAI enablers, workforce model, location strategy, and transformation roadmap.
Architect solutions across key BCM domains: Customer Experience & Originations, Loan Servicing, Financial Crime & Compliance, Risk & Regulatory, and Enterprise Operations.
Integrate Applied AI, Generative AI, Agentic frameworks, Intelligent Automation, and Advanced Analytics into solution designs that deliver measurable client outcomes.
Develop TCO models, ROI / business case frameworks, and pricing constructs in partnership with the commercial team.

Pre-Sales & RFP Execution

Drive end-to-end RFP response development—from requirement analysis and solution architecture through to proposal writing and commercial packaging.
Craft compelling, client-specific pitch decks, solution narratives, and executive presentations that clearly articulate EXL's differentiated value.
Participate in and co-lead client discovery sessions, solution workshops, orals, and due-diligence engagements.
Ensure response quality, consistency, and alignment with win themes across all deliverables.
Manage tight pursuit timelines, coordinating inputs from SMEs, delivery leads, technology, and practice teams.

Cross-functional Collaboration

Work closely with the BCM Solution Head, BCM Sales, Delivery, Technology, and Centre of Excellence teams to build integrated solution offerings.
Collaborate with Partnership & Alliances teams to incorporate relevant FinTech and platform partner capabilities into solutions.
Support capability development by contributing to reusable solution assets, templates, pricing models, and proposal libraries.
Engage with domain SMEs and delivery practitioners to validate solution feasibility and ensure deliverability commitments.

Market & Client Intelligence

Monitor BFSI industry trends, regulatory developments, and competitive dynamics to inform solution positioning and innovation.
Analyse competitor offerings and benchmark EXL's BCM solutions against market alternatives.
Capture and institutionalise win/loss learnings to continuously improve solution quality and win rates.

REQUIRED EXPERIENCE & QUALIFICATIONS

Domain & Industry Experience

8–12 years of experience in Banking & Capital Markets, with hands-on solutioning, consulting, or transformation delivery exposure.
Strong domain knowledge across Retail Banking, Commercial Banking, Wealth Management, and/or Capital Markets operations.
Working knowledge of key BFSI process areas: Originations & Servicing, Financial Crime & Compliance (AML/KYC/Fraud), Credit Risk, Market & Operational Risk, and Enterprise Operations.
Exposure to Life & Annuity, Property & Casualty, or Retirements domains is an added advantage.

Technology & Solutioning Skills

Hands-on experience designing solutions leveraging AI/ML, Generative AI, and Agentic AI in a banking or financial services context.
Proven capability in Digital Transformation, Intelligent Automation (RPA/IPA/BPA), Cloud Enablement, and Data & Analytics platforms.
Experience with TOM design, Business Process Re-engineering (BPR), and Lean Six Sigma methodologies.
Ability to develop commercially robust pricing models and outcome-based commercial constructs.
Familiarity with core banking / capital markets technology platforms is a plus.

Pre-Sales & Communication Skills

Minimum 4–6 years of direct pre-sales, solutioning, or consulting experience with measurable contribution to deal wins.
Demonstrated ability to develop high-quality RFP responses, solution proposals, and executive presentations independently.
Exceptional written and verbal communication skills—ability to structure complex ideas into clear, persuasive narratives.
Experience facilitating client workshops, oral presentations, and stakeholder discussions.
Strong attention to detail and ability to manage multiple concurrent pursuits under tight deadlines.

Education & Certifications

Bachelor's or Master's degree in Computer Science, Engineering, Business Administration, or a related field.
Certifications in AI/ML, Cloud (AWS / Azure / GCP), Lean Six Sigma (Green Belt or above), or TOGAF are advantageous.

See also