Head of Services - AI & Data Services

Head of Services - AI & Data Services

Position Title:

Reports To:

Team Size:

Business Unit:

Executive Summary

Services Head of Data & AI Services

Key Responsibilities

1. P&L & Operational Excellence

• Gross Margin Accountability:

  Own the financial health of the business unit. Directly responsible for project profitability, resource utilization, and cost-to-serve optimization across all programs.

• Services DNA Infusion:

  Cultivate a culture of delivery excellence, accountability, and customer-centricity. Transition the team from a task-oriented mindset to an outcome-driven services philosophy.

• Portfolio Management:

  Oversee a diverse portfolio of engagements including high-scale Staff Augmentation, managed AI CoE engagements, and fixed-fee product/service implementations.

2. Strategic Delivery & Complex Programs

• Scale Management:

  Lead, mentor, and scale a high-performing team of 150–175 data engineers, AI scientists, and project managers.

• Program Leadership:

  Act as the executive sponsor for complex, multi-year digital transformation programs, ensuring they are delivered on time, within budget, and with high client satisfaction.

• The "AI Factory":

  Standardize delivery frameworks for emerging technologies, including Agentic AI and LLMOps, to ensure repeatable success.

3. Sales Enablement & CXO Engagement

• Revenue Partnership:

  Partner with the Sales team to drive growth. A "dual-threat" leader who can lead technical sales pitches and architect commercial models that win.

• CXO Relationship Management:

  Build and maintain deep relationships with client Chief Analytics Officers (CAO), Chief Data Officers (CDO), and CTOs.

• Customer Experience (CX):

  Set the gold standard for client interactions, ensuring that "best-in-class" experience is embedded in every touchpoint of the service lifecycle.

Candidate Profile: Capabilities & Experience

Core Requirements (Must-Haves):

• Services Veteran:

  15+ years of experience in the Data & Analytics services industry, with a proven track record of growing a services business on data bricks, Snowflake et

• Subject Matter Expertise:

  Deep, authoritative knowledge of the

  Data & Analytics

  landscape (Data Engineering, Cloud Warehousing, BI, and AI/ML).

• Leadership at Scale:

  Demonstrated ability to lead large, multidisciplinary teams (150+ people) in a global or matrixed environment.

• Commercial Acumen:

  Expertise in managing Gross Margins, SOW negotiations, and complex financial modeling for services.

• Delivery Models:

  Expert knowledge of Staff Augmentation, CoE-as-a-Service, and project-based delivery.

Preferred Qualifications (Nice-to-Haves):

• Domain Expertise:

  Deep understanding of

  Retail and Marketing

  analytics (e.g., Supply Chain optimization, Customer 360, Retail Planning).

• Platform Knowledge:

  Experience with Databricks, Snowflake, or major Cloud AI stacks.

Success Criteria in the First 12 Months:

1. Margin Growth:

   Achieve targeted Gross Margin percentage across the entire program portfolio.

2. Delivery Stability:

   Standardize "Service Delivery Playbooks" to reduce project overruns and improve NPS.

3. Talent Retention:

   Maintain high engagement and low attrition across the 150+ person team through clear career pathing and "Services DNA" training.

4. Strategic Wins:

   Lead and close at least three major AI CoE engagements in partnership with the CBO.

About Company:

Algonomy helps consumer businesses maximize customer value by automating decisioning across their retail business lifecycle, with AI-enabled solutions for eCommerce, Marketing, Merchandising, and Supply Chain. Algonomy is a trusted partner to more than 400 leading brands, with a global presence spanning over 20 countries. Our innovations have garnered recognition from top industry analysts such as Gartner and Forrester. More at www.algonomy.com.