---
title: 'Senior Data Consultant - AI Readiness at AHEAD'
canonical: 'https://feeny.ai/job/senior-data-consultant-ai-readiness-ahead-united-states-2pdtnd9j58dq'
type: 'job'
last_seen: '2026-09-11'
---

# Senior Data Consultant - AI Readiness at AHEAD

- **Company:** AHEAD
- **Location:** United States
- **Compensation:** $185k–$225k
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2024-11-15
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.lever.co/thinkahead/4c2184d4-1c6e-451f-becf-5d93f71c4609

## Job description

AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation.

At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD.

We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived.

We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD.

The Senior Data Consultant is an experienced consulting professional responsible for leading the successful delivery of complex data, analytics, AI, and cloud transformation engagements while serving as a trusted advisor to clients. The role combines consulting excellence, business acumen, technical expertise, delivery leadership, and people development to deliver measurable business outcomes and strengthen long-term client partnerships. Senior Data Consultants independently lead projects and multiple workstreams, guide cross-functional delivery teams, manage client relationships, solve complex business and technical challenges, and ensure delivery excellence with minimal oversight. They are expected to demonstrate structured thinking, sound judgment, accountability, and proactive leadership while consistently delivering high-quality solutions aligned with client objectives and AHEAD delivery standards. Beyond client delivery, Senior Data Consultants contribute to the continued growth of the Data Practice through mentoring, business development, innovation, and continuous improvement.

## Responsibilities

Client Delivery

- Lead one or more client engagements or multiple workstreams, ensuring successful delivery aligned to scope, schedule, budget, quality, and business objectives.
- Lead project teams by establishing clear priorities, deliverables, accountability, and execution plans.
- Facilitate strategy, roadmap, planning, solution design, and executive decision-making workshops.
- Apply structured thinking and consultative problem solving to analyze business challenges, develop recommendations, and guide client decisions.
- Translate business requirements into practical, scalable, and value-driven technical solutions.
- Manage project scope, financials, milestones, risks, issues, dependencies, and delivery quality throughout the engagement.
- Communicate status, risks, recommendations, and executive updates with transparency and professionalism.
- Review and approve client deliverables to ensure quality and alignment with AHEAD standards.

Business Development

- Participate in discovery sessions, opportunity qualification, solution development, proposal creation, and client presentations.
- Identify opportunities to expand existing client engagements and support account growth.
- Build trusted advisor relationships with business, technology, and executive stakeholders.
- Collaborate with account teams and practice leadership to shape strategic opportunities.

Practice Development and Thought Leadership

- Contribute to consulting methodologies, delivery frameworks, reusable assets, and best practices.
- Maintain expertise in modern data, AI, cloud, governance, analytics, and emerging technologies.
- Mentor and coach team members through regular feedback and professional development.
- Support recruiting, interviewing, onboarding, knowledge sharing, and continuous improvement initiatives.

Expectations

Senior Data Consultants are expected to consistently demonstrate leadership, accountability, consulting excellence, technical expertise, and business acumen while delivering exceptional client outcomes.

Leadership and Ownership

- Take ownership of delivery outcomes and remain accountable for quality, financial performance, and client success.
- Lead teams with integrity, professionalism, and a collaborative leadership style.
- Demonstrate initiative by proactively identifying risks, resolving issues, and driving execution.
- Coach and develop team members through mentoring and constructive feedback.

Consulting and Business Acumen

- Understand client business priorities and connect recommendations to measurable business outcomes.
- Apply structured thinking, sound judgment, and consultative problem solving when making decisions.
- Balance business priorities, scope, schedule, cost, quality, and technical considerations.
- Build trusted advisor relationships through credibility, proactive communication, and executive presence.

Technical Excellence and Practice Leadership

- Design practical, scalable, and business-aligned solutions that meet client objectives.
- Produce high-quality, executive-ready deliverables that reflect AHEAD consulting standards.
- Contribute to practice growth through mentoring, innovation, reusable assets, business development, and continuous learning.
- Represent AHEAD with professionalism while fostering a culture of collaboration, accountability, and continuous improvement.

## Qualifications

Required

- Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, Data Science, or a related technical discipline.
- Typically 8–10+ years of experience delivering enterprise data, analytics, AI, cloud, or digital transformation initiatives.
- Minimum five years of consulting or professional services experience leading complex client engagements.
- Experience leading project teams, multiple workstreams, or enterprise initiatives with minimal oversight.
- Experience delivering modern data platform solutions, including data engineering, cloud platforms, governance, analytics, AI, or enterprise architecture.
- Experience managing project scope, financials, delivery governance, stakeholder communications, and executive presentations.
- Strong leadership, consulting, communication, facilitation, analytical, and relationship management skills.
- Demonstrated ownership, business acumen, executive presence, and the ability to mentor and develop others.

## Preferred

- Master’s degree or MBA.
- Professional certifications in cloud platforms, AI, data management, Agile, project management, or enterprise architecture.
- Experience with Snowflake, Databricks, Microsoft Fabric, Azure, AWS, Google Cloud Platform, or similar technologies.
- Experience leading enterprise data strategy, modernization, governance, analytics, AI, or digital transformation initiatives.

The compensation range indicated in this posting reflects the On-Target Earnings (“OTE”) for this role, which includes a base salary and any applicable target bonus amount. This OTE range may vary based on the candidate’s relevant experience, qualifications, and geographic location.

Why AHEAD:

Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between.

We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning.

USA Employment Benefits include:

- Medical, Dental, and Vision Insurance
- 401(k)
- Paid company holidays
- Paid time off
- Paid parental and caregiver leave
- Plus more! See benefits https://www.aheadbenefits.com/ for additional details.

Use of AI: We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, assessing responses, or to capture recordings and create transcriptions or summaries during interviews. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.

If you would like more information about how your data is processed, please refer to the Candidate Privacy Notice or contact us at privacy@ahead.com.

You may opt-out of the review or analysis of your application and resume by AI tools by using the General Application. Please include the role you wish to apply for in the Additional Information field. You may also choose to opt-out of recording and transcription at any time, including after joining an interview.  Candidates will not be penalized for choosing to opt-out.

## About AHEAD

## Company Overview
- **One-liner**: AHEAD is an engineering-led digital platform company that accelerates enterprise strategy into execution across AI, cloud, data, security, and infrastructure.
- **Entity Type**: Private (Bootstrapped/PE-backed; no public funding rounds disclosed)
- **Headquarters**: New York, New York, USA
- **Founded**: 2007
- **Founders**: Dan Adamany (CEO)

## Core Business
- **Primary industry/industries**: IT Services & Consulting, Digital Transformation, Managed Services
- **Target customers**: Fortune 1000 enterprises, large-scale organizations with complex, multi-domain IT estates (B2B, Enterprise)
- **Mission or purpose statement**: To accelerate strategy into execution, engineering integrated solutions across infrastructure, applications, data, and security — building what others only blueprint.

## Products & Services
- **AI Transformation**: A unified AI fabric to accelerate AI from idea to business value, including AI-enabled infrastructure and data readiness. *(Service)*
- **AI Enabled Infrastructure**: Scalable, resilient architectures supporting high-performance workloads from core to edge. *(Service)*
- **Data Platform Modernization**: Governed data platforms that turn raw data into trustworthy insight and AI readiness. *(Service)*
- **Secure and Resilient Architectures**: Platforms designed to reduce risk, limit impact, and recover quickly. *(Service)*
- **Platform and Workload Modernization**: Modernizing platforms and optimizing workloads across cloud, data center, and edge. *(Service)*
- **Operational Excellence**: Frictionless operations, predictable performance, and optimized spend. *(Service)*
- **Managed Services**: Ongoing management of critical systems over their entire lifecycle. *(Service)*
- **Proprietary IP (Foundry™, Hatch™)**: Accelerators, financial models, scorecards, integration-ready code, and policy-as-code. *(Software/Tooling)*
- **400+ APIs & Custom Offerings**: Frameworks that integrate multiple platforms for automation, data sandboxes, and ML/AI exploration. *(Platform)*

## Market Standing
- **Valuation/Market Cap**: Not publicly available (Private company)
- **Key Metric**: **Gross Revenue** of **$3.7 billion** (as of 2024, following the acquisition of CDI); **2,500+ employees** across 40 locations globally.
- **Notable Investors/Partners**: Partners with **200+ technology providers** (e.g., major cloud, data center, security, and automation vendors). The company is backed by private equity (likely a growth/PE structure, though specific investors are not named in the provided materials).
- **Growth Signals**: Scaled from a Midwest focus to national and international coverage through **12 acquisitions since 2019**; expanded service portfolio into data, app dev, custom manufacturing, and global logistics via M&A; recent acquisition of CDI (New York-based) added significant scale.

## Competitive Advantages
- **Orchestration Expertise**: Ability to stitch together complex, multi-vendor systems into cohesive, scalable architectures — a differentiator in an increasingly fragmented IT landscape.
- **Full-Stack Engineering**: Deep expertise across AI, cloud, data, security, infrastructure, and operations, applied in an integrated fashion.
- **Unified Delivery Model**: One team, one roadmap, one owner held accountable for driving outcomes, from strategy through implementation and ongoing operations.
- **Consultative Approach**: Engages early to architect transformation roadmaps, not just as a reseller of hardware/software.
- **Proprietary IP (Foundry™, Hatch™)**: Unique accelerators and code libraries that de-risk and speed up client digital initiatives.

## Strategic Focus
- **Current priorities**: Accelerating enterprise AI adoption; expanding managed services; deepening capabilities in data, security, and cloud; continuing M&A strategy to add geographic coverage and new service lines.
- **Direction for growth**: Becoming the go-to strategic partner for Fortune 1000 leaders navigating the complexity of modern IT, with a focus on accountability from design to operations.

## Why Work Here
- **Culture highlights**: Engineering-led organization with a strong emphasis on technical depth, ownership, and accountability. Described as a "game-changer in tech" that values innovation and execution.
- **Remote/hybrid/office policy**: Likely hybrid/office-based given the nature of client-facing consulting and infrastructure work; 40 global locations suggest flexibility in location.
- **Notable perks or engineering culture**: Opportunity to work with cutting-edge technologies across AI, cloud, security, and data at massive scale; exposure to Fortune 1000 clients and complex transformations; strong focus on IP development and engineering excellence; clear growth trajectory through acquisitions and expansion.

## Sources
1. [AHEAD Official Website](https://www.ahead.com/)
2. [AHEAD Story Page](https://www.ahead.com/story/)
3. [AHEAD Leadership Page](https://www.ahead.com/leadership/)
4. [AHEAD Careers Page](https://jobs.lever.co/thinkahead)

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