Senior Business Consultant

We are seeking a Senior Business Consultant to lead AI-driven transformation initiatives across client organizations and internal business units. This role is a hands-on, outcomes-focused partner to solution and enterprise architects
—helping shape the right problem, define pragmatic target-state roadmaps, and accelerate delivery from discovery to pilot to scale
. The role combines strategic advisory, program leadership, and commercial acumen to drive AI adoption, scale use cases, and unlock measurable business value and rapid time-to-impact
.

• Serve as a trusted advisor to business leaders and partner closely with solution/enterprise architects to shape feasible, secure, and scalable AI approaches
• Lead value discovery, define architect-aligned roadmaps, and prioritize initiatives for rapid time-to-value with clear success metrics
• Translate business priorities into scalable AI/GenAI solutions and investment cases, articulating architecture options, trade-offs, and value realization
• Own end-to-end delivery from ideation to PoC to pilot to production readiness,
  removing blockers and accelerating decisions in partnership with architects and engineering
• Establish governance, guardrails, and success metrics (security, compliance, cost, performance) with reference architectures and value realization frameworks
• Coordinate with offshore delivery teams to ensure predictable execution, quality, and rapid iteration cycles that deliver measurable outcomes
• Identify, prioritize, and shape high-impact AI use cases across business functions
• Co-design solution architectures (copilots, agentic workflows, RAG systems) with architects/engineering, leveraging reusable patterns and accelerators
• Ensure alignment with enterprise architecture, data platforms/landing zones, and security standards to enable safe scale

• Lead AI-led consulting engagements by articulating clear business value drivers, quantified benefits, and urgency tied to client priorities
• Shape proposals and solution pitches that connect business outcomes to architectural choices, leveraging architects to de-risk feasibility and timelines
• Build compelling business cases, ROI narratives, and pricing constructs that clearly show path-to-value from pilot to scale
• Drive account growth by expanding the transformation roadmap, identifying adjacent value pools, and aligning near-term wins to a longer-term AI vision

• Facilitate value discovery sessions, visioning workshops, and executive forums to paint the end-state vision and align stakeholders on “why change, why now”
• Translate complex AI and architecture concepts into clear executive narratives that enable confident decision-making
• Partner with architects to proactively address IT concerns, constraints, and dependencies, reducing friction and accelerating approvals
• Influence senior leaders by anchoring discussions in business value, risk mitigation, and delivery realism, not just technology potential

• Develop reusable value discovery frameworks, road mapping templates, and storytelling assets that help teams consistently connect architecture to outcomes
• Partner with architects to codify repeatable patterns, guardrails, and accelerators that reduce IT overhead on future engagements
• Contribute to internal and external thought leadership by sharing practical lessons on scaling AI from pilot to production
• Help elevate the organization’s consulting maturity by reinforcing a culture of business-led transformation enabled by architecture

• 10–15+ years in consulting, digital transformation, or AI program delivery (3–5 years in AI consulting), with a track record of partnering with architects to deliver outcomes
• Proven experience leading enterprise-scale AI/GenAI initiatives
• Strong exposure to industries including healthcare & life sciences, Retail & manufacturing and banking & financial services.
• Hands-on low-code apps and automation development, including rapid prototyping of copilots/agents (e.g., vibe coding) to validate value and architectural fit

• AI/ML and GenAI fundamentals (LLMs, RAG, AI agents, MLOps)
• Business consulting, problem framing, and architecture-to-value storytelling
• Program leadership and stakeholder management across product, engineering, and architecture teams
• Commercial acumen and deal shaping
• Data-driven decision-making, KPI design, and adoption/value realization measurement

• Certifications in AI/LC-NC development
• Experience with AI governance, ethics, and regulatory frameworks