Advisory Lead – Data​/AI Due Diligence

Position: Advisory Lead – Data/AI Due Diligence (Ref: 187830)
Advisory Lead – Data/AI Due Diligence ()Advisory Lead – Data/AI Due Diligence ()

This range is provided by Forsyth Barnes. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$/yr - $/yr

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Vice President - Data & Technology & Co-Founder of The Table | Finalist at the Women in Tech Awards 2024 & 2025 "Outstanding Advocate for Women in…

Title: Advisory Lead – Data & AI

Locations:
Remote

We’re working with a leading consultancy who is seeking an Advisory Lead – Data/AI Due Diligence to join their Technology & Experience Practice. This is a fantastic opportunity to take ownership of high-profile data and AI advisory projects, advise executive stakeholders, and deliver actionable insights across industries including healthcare, software, and financial services.

This is a hands-on leadership role, offering the chance to work with cutting-edge tools and methodologies, guide enterprise-level strategies, and influence data-driven transformations, advanced analytics initiatives, and strategic advisory engagements.

Key Responsibilities

• Lead and deliver data and technology due diligence and assessment projects, partnering with multi-disciplinary teams across cloud, cybersecurity, software engineering, and infrastructure.
• Evaluate and recommend strategies for scalability, operational efficiency, and data monetization by analyzing enterprise technology landscapes.
• Translate business strategy into actionable data and AI strategies, delivering impactful recommendations and investment summaries.
• Provide thought leadership through white papers, conference participation, and mentoring internal teams.
• Act as a subject matter expert on data platform engineering, architecture, and AI-driven business value creation.
• Keep abreast of emerging trends in cloud, data platforms, data modeling, visualization, and AI use cases.
• Contribute to business development by identifying client opportunities and supporting proposal creation.

Skills & Experience

• Bachelor’s or Master’s in Computer Science, Information Systems, or a related field, or equivalent experience.
• At least 10 years of hands-on experience in data modeling, architecture, and implementing large-scale solutions.
• Strong consulting, industry, or startup experience in fast-paced environments.
• Expertise with cloud platforms (AWS, Azure, GCP), data platforms (Databricks, Snowflake), and BI/visualization tools (Power BI, Tableau, Looker).
• Deep understanding of data warehousing approaches, streaming and batch processing, and AI applications in business.
• Strong leadership, communication, and stakeholder management skills, with a track record of delivering complex projects on time and within budget.
• Willingness to travel for client engagements.

Seniority level

• Seniority level
  
  Mid-Senior level

Employment type

• Employment type
  
  Contract

Job function

• Job function
  
  Project Management
• Industries Retail Apparel and Fashion and Retail

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