Business Development Advisor

NTT DATA, Inc.; Bengaluru Urban; On-site; INR 2,400,000 - 3,600,000; Full time

Job summary

NTT DATA, Inc. in Bengaluru seeks a strategy-oriented professional to craft AI-native proposals and executive POVs for energy, utilities, and oil & gas clients.

You will translate sector problems into AI use cases, build ROI-focused business cases, and collaborate with architects, presales, and delivery across the US, Europe, and India. The role requires an MBA (or equivalent) with 2–6 years in strategy/consulting, a clear AI point of view, and strong storytelling for senior executives.

Qualifications

• MBA (or equivalent) with 2–6 years in strategy/operations consulting or related fields.
• Clear point of view on AI value, avoiding buzzwords.
• Strong structured thinking and rapid, rigorous research skills.
• Excellent spoken and written communication for executives and deck-building.
• Comfort working across global time zones with distributed teams.

Responsibilities

• Lead pursuits and proposals for AI-native solutions in the energy sector.
• Own research and storyline from customer insight to final executive deck.
• Translate sector problems into AI use cases across asset performance, grid ops, and more.
• Build business cases, ROI logic and commercial model options.
• Partner with solution architects, presales and delivery leads across US, Europe and India.
• Develop and maintain industry POVs on AI impact across energy value chains.
• Research target accounts and regulatory contexts; track market forces shaping the sector.
• Publish thought leadership and scale program management for AI-native initiatives.
• Manage the program rhythm: pipeline, status, owners, deadlines and risks.
• Create reusable assets: use-case libraries, playbooks, and pursuit toolkits.
• Support GTM and enablement so account teams can carry the POV.
• Report program progress and outcomes to leadership.

Skills

Strategic thinking

Executive communication

Research skills

Storytelling

Time-zone collaboration

AI familiarity

Education

MBA or equivalent

Tools

AI tools & workflows

Job description

• Own research and storyline for AI-native proposals and executive POVs for energy, utilities and oil and gas clients, from first customer insight to final deck
• Translate sector problems into AI use cases across asset performance and predictive maintenance, grid and network operations, field service, trading and commercial operations, HSE and compliance, supply chain and procurement, and customer operations, with a clear view of value, feasibility, data readiness and regulatory constraints
• Build business cases: value pools, ROI logic, commercial model options and the assumptions behind them, including how regulated returns and capital cycles shape buying decisions
• Partner with solution architects, presales and delivery leads in the US, Europe and India to make proposals credible and executable
• Industry point of view and research
• Develop and maintain POVs on where and how AI, including agentic AI, changes upstream, midstream, downstream, power generation, transmission and distribution, and utility operating models
• Research target accounts: strategy, financials, asset base, regulatory environment, AI and data maturity, peer moves and likely buying triggers
• Track the forces shaping the sector (energy transition, electrification, grid modernization, AI-driven power demand, regulation) and convert them into sharp positioning
• Produce thought leadership in a voice that operations, strategy and technology leaders respect
• Program management and scale
• Run the operating rhythm of the AI-native solutions program for the sector: pipeline, pursuit status, owners, deadlines and risks
• Build reusable assets: use-case libraries by manufacturing sub-sector, research playbooks, proposal frameworks and maturity assessments
• Support go-to-market and sales enablement so account teams can carry the POV without you in the room
• Report program progress and outcomes to leadership

Key Responsibilities

• Pursuits and proposals
• Own research and storyline for AI-native proposals and executive POVs for energy, utilities and oil and gas clients, from first customer insight to final deck
• Translate sector problems into AI use cases across asset performance and predictive maintenance, grid and network operations, field service, trading and commercial operations, HSE and compliance, supply chain and procurement, and customer operations, with a clear view of value, feasibility, data readiness and regulatory constraints
• Build business cases: value pools, ROI logic, commercial model options and the assumptions behind them, including how regulated returns and capital cycles shape buying decisions
• Partner with solution architects, presales and delivery leads in the US, Europe and India to make proposals credible and executable
• Industry point of view and research
• Develop and maintain POVs on where and how AI, including agentic AI, changes upstream, midstream, downstream, power generation, transmission and distribution, and utility operating models
• Research target accounts: strategy, financials, asset base, regulatory environment, AI and data maturity, peer moves and likely buying triggers
• Track the forces shaping the sector (energy transition, electrification, grid modernization, AI-driven power demand, regulation) and convert them into sharp positioning
• Produce thought leadership in a voice that operations, strategy and technology leaders respect
• Program management and scale
• Run the operating rhythm of the AI-native solutions program for the sector: pipeline, pursuit status, owners, deadlines and risks
• Build reusable assets: use-case libraries by manufacturing sub-sector, research playbooks, proposal frameworks and maturity assessments
• Support go-to-market and sales enablement so account teams can carry the POV without you in the room
• Report program progress and outcomes to leadership

Required Qualifications

• MBA (or equivalent substantial experience in the required domains), with 2 to 6 years in strategy or operations consulting, industrial or technology consulting, corporate strategy, or product management. Exceptional final-year candidates with strong internships will be considered
• A demonstrated, informed point of view on AI: you can explain where AI creates value, where it does not, and why, without relying on buzzwords
• Strong structured thinking and fast, rigorous research skills; you can go from a blank page to a defensible answer on an unfamiliar company or industry in days
• Excellent spoken and written communication and storytelling for senior executives, with comfort building decks and business cases
• Comfort working across time zones with global teams

Strongly Preferred

• Exposure to oil and gas, power and utilities, renewables, or energy services, whether through consulting, an operator, or an energy-focused internship or project
• Working knowledge of how the sector makes money and is regulated: asset lifecycles, regulated versus merchant economics, capex and opex cycles, HSE requirements
• Hands-on familiarity with AI tools and workflows (prompting, agents, automation); engineering background is welcome but not required
• Experience with proposals, pursuits or RFP responses at a consulting or services firm
• A record of original work: published writing, case competition wins, or an analysis or product you built

What Success Looks Like In The First 12 Months

• You own research and storyline for multiple concurrent industry pursuits with minimal rework
• At least two industry POVs are published and in use by account and sales teams
• A reusable industry use-case library and pursuit toolkit measurably cut time from request to first draft
• Leadership relies on you for a clear view of industry pipeline and program status

What We Offer

• Direct exposure to senior leadership and real customer pursuits across industries
• A seat at the front of NTT DATA's AI-native solutions effort
• Authorship of POVs that go out under the practice's name
• Compensation, grade and growth path: to be confirmed with HR