Client-Facing Data & AI Delivery Leader for Enterprise Analytics

Anblicks Inc.; Dallas (TX); On-site; USD 170,000 - 220,000; Full time

Job summary

Anblicks Inc. is seeking a Delivery Manager – Data & AI to lead client engagements in Dallas, shaping and governing complex data and analytics programs. This senior role blends hands-on data lifecycle expertise with strategic advisory, ensuring architectures align with business outcomes and scalable solutions.

The ideal leader communicates effectively with executives, manages stakeholders, and drives AI-enabled data platforms at scale, with a product-minded focus on delivering value to clients.

Qualifications

• 12+ years in data analytics, data engineering, or data architecture roles.
• Proven experience leading client-facing data and analytics programs.
• Strong hands-on understanding of data architecture patterns and the end-to-end data lifecycle.
• Ability to articulate data architecture, data modeling, and AI enablement concepts to business and technical audiences.
• Demonstrated strength in stakeholder management and executive-level communication.
• Experience delivering cloud-based data platforms at enterprise scale.
• Strong leadership, decision-making, and problem-solving skills.
• Experience integrating AI and advanced analytics into enterprise data platforms.
• Familiarity with semantic layers, natural language analytics, or knowledge graph approaches.
• Product-oriented mindset with focus on business outcomes and value realization.

Skills

Data analytics

Data engineering

Data architecture

Client-facing programs

Data modeling

AI enablement

Stakeholder management

Executive communication

Cloud data platforms

Leadership

Decision making

Problem solving

AI integration

Semantic layers

Natural language analytics

Knowledge graphs

Product mindset

Job description

Anblicks Inc. is seeking a Delivery Manager – Data & AI to lead client engagements in Dallas, shaping and governing complex data and analytics programs. This senior role blends hands-on data lifecycle expertise with strategic advisory, ensuring architectures align with business outcomes and scalable solutions.

The ideal leader communicates effectively with executives, manages stakeholders, and drives AI-enabled data platforms at scale, with a product-minded focus on delivering value to clients.