Advisory Lead - Data/AI Due Diligence
Advisory Lead – Data/AI Due Diligence (Ref: 187830) Advisory Lead – Data/AI Due Diligence (Ref: 187830) 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 $200,000.00/yr - $250,000.00/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 & 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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