Principal Data and AI Advisor

IT EBusiness Consulting Services, Inc; Jersey City (NJ); Remote; USD 162,000 - 198,000; Full time

Job summary

IT EBusiness Consulting Services, Inc. is seeking a Principal Data and AI Advisor in New Jersey (preferred) or remote within the U.S. to guide client AI journeys. The role blends executive advisory, growth leadership, and deep Data & AI expertise with senior stakeholder engagement.

You will shape AI strategies, lead advisory engagements, and help define offerings while partnering with architects and delivery teams to drive large-scale transformation.

Qualifications

• 15+ years of experience in Consulting, Advisory, Strategy, Data & AI, or Technology Leadership roles.
• Proven track record leading executive-level business and technology engagements.
• Experience shaping multi-million-dollar Data & AI opportunities and programs.
• Sufficient technical depth to engage with architects and delivery teams.

Responsibilities

• Lead AI advisory workshops focused on strategy, value, and transformation for clients.
• Develop and present thought leadership and AI perspectives tailored to industries.
• Identify high-value AI opportunities with senior business and tech stakeholders.
• Define advisory frameworks, methodologies, and reusable assets for AI initiatives.

Skills

Consulting

Advisory

Strategy

Data & AI

Tech Leadership

Tools

Databricks

Snowflake

Microsoft Fabric

Azure

AWS

Job description

Role: Principal Data and AI Advisor

Work Location: New Jersey (Preferred) | Also open to: Remote (U.S.)

Travel: Twice a month (Upto 20%)

Type of Hire: Full Time

Salary: $180K

We are seeking a strategic and client-facing Data & AI Advisor to help organizations define and accelerate their Data, Analytics, AI, and Generative AI journeys.

This role combines executive advisory, growth leadership, and Data & AI expertise. You will partner with senior business and technology stakeholders to develop AI strategies, lead advisory engagements, define AI offerings, and shape large-scale transformation opportunities.

The ideal candidate combines executive presence, strong consulting skills, industry expertise, and sufficient technical depth to engage credibly with architects and delivery teams while influencing strategic business decisions.

Key Responsibilities:

AI Advisory & Client Engagement

• Lead executive workshops focused on AI strategy, business value, and transformation.
• Develop and present thought leadership, POVs, and industry-specific AI perspectives.
• Engage senior business and technology stakeholders to identify high-value AI opportunities.
• Develop advisory frameworks, methodologies, and reusable assets.
• Act as a trusted advisor throughout AI transformation initiatives.

AI-Led Growth & Opportunity Development

• Shape large, strategic Data & AI programs from vision through proposal development.
• Develop business cases, value hypotheses, and executive narratives for AI investments.
• Influence revenue growth through advisory-led engagements and opportunity creation.
• Define and evolve market-relevant AI offerings and solution plays.

Technology & Solution Advisory

• Challenge assumptions and validate solution approaches with customer and internal architects.
• Ask the right business, data, process, and technology questions to uncover opportunities and risks.
• Stay current on emerging technologies, market trends, and industry best practices.
• Bridge strategy, architecture, and delivery teams to drive successful outcomes.

Work and Technical Experience:

• 15+ years of years of experience in Consulting, Advisory, Strategy, Data & AI, or Technology Leadership roles.
• Proven track record leading executive-level business and technology engagements.
• Experience shaping and influencing multi-million-dollar Data & AI opportunities and programs.
• Sufficient technical depth to engage with architects, challenge assumptions, and validate solution approaches.
• Experience with modern data and AI ecosystems such as Databricks, Snowflake, Microsoft Fabric, Azure, AWS, or similar platforms.
• Demonstrate strong understanding of industry business processes, transformation priorities, data landscapes, and AI-driven value creation opportunities.

Success in this role look like

This is not a delivery leadership role. Success in this position will be measured by the ability to shape opportunities, influence AI strategy, develop trusted executive relationships, and drive AI-led business growth.