Advisory Lead – Data/AI Due Diligence
Listed on 2026-07-08
-
IT/Tech
Data Analyst, Data Engineering, Data Science Manager
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
Direct message the job poster from Forsyth Barnes
Vice President - Data & Technology & Co-Founder of The Table | Finalist at the Women in Tech Awards 2024 "Outstanding Advocate for Women in Tech"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
Mid-Senior level
- Employment type
Contract
- Industries IT Services and IT Consulting
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Inferred from the description for this job401(k)
Vision insurance
Medical insurance
Pension plan
Paid maternity leave
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