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

Forsyth Barnes

United States

Remote

USD 200,000 - 270,000

Full time

14 days+

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Benefits offered by this job

401(k)

Vision insurance

Medical insurance

Pension plan

Paid maternity leave

Job summary

A leading consultancy is seeking an Advisory Lead – Data/AI to join their Technology & Experience Practice. This remote role provides the opportunity to lead high-profile advisory projects, influencing data-driven transformations and advanced analytics initiatives. The ideal candidate will have over a decade of experience in data modeling and architecture, strong consulting skills, and expertise with cloud platforms and BI tools.

Qualifications

10+ years of hands-on experience in data modeling and architecture.
Strong consulting or startup experience in fast-paced environments.
Deep understanding of data warehousing and AI applications.

Responsibilities

Lead data and technology due diligence and assessment projects.
Evaluate strategies for scalability and operational efficiency.
Translate business strategy into actionable data and AI strategies.

Skills

Data modeling

Architecture

Cloud platforms (AWS, Azure, GCP)

BI/visualization tools (Power BI, Tableau, Looker)

Leadership

Stakeholder management

Communication

Education

Bachelor’s or Master’s in Computer Science or related field

Tools

Databricks

Snowflake

Job description

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 - $270,000.00/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 "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