Brillio

Senior Engagement Manager - R01568119

Brillio • $120K — $150K *
Dallas, TX 75217In-Person
Enterprise Technology
8 - 10 years of experience
3 days ago
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Job Overview by Ladders

Qualifications

  • 10-15 years in Analytics, AI, Data Engineering, and Technology Consulting
  • Proven track record of leading enterprise-scale transformations
  • Extensive technical expertise with a foundation in software/data engineering
  • Experience engaging with senior executives to develop data and AI strategies
  • Strong leadership skills managing teams of 20-100+ across global models
  • Bachelor's degree in a relevant engineering discipline; MBA or equivalent management degree preferred

Responsibilities

  • Serve as a trusted advisor for senior client stakeholders
  • Lead consulting engagements from inception to value realization
  • Conduct business assessments and develop enterprise AI and Data roadmaps
  • Design and oversee enterprise AI solutions including Machine Learning and Predictive Analytics
  • Manage and design scalable data architectures across cloud platforms
  • Lead cross-functional teams in solution delivery and governance
  • Support business development with pre-sales activities and client presentations

Benefits

  • Opportunity to work on cutting-edge AI and analytics projects
  • Exposure to a diverse range of industries
  • Collaborative and innovative work environment
  • Leadership development and mentoring programs
  • Access to advanced tools and technologies
Full Job Description
Senior Analytics Manager
Primary Skills
  • Data Analysis, SQL, Python, Exploratory Data Analysis, Data Storytelling & Insight Generation, Excel VBA, Insight Generation, Communication & Articulation: Vocal & Written
Specialization
  • BI Foundation: Senior Analytics Manager
Job requirements
  • Analytics, AI & Data Engineering Consulting Lead
    Experience
    10-15 years of experience in Analytics, AI, Data Engineering and Technology Consulting, with demonstrated success leading enterprise-scale transformations across multiple industries.
    Role Summary
    We are looking for a highly accomplished Analytics, AI & Data Engineering Consultant who combines deep technical expertise with strong consulting and business leadership capabilities. The ideal candidate should have started their career as a hands-on software/data engineer, evolved into leading enterprise analytics and AI programs, and now be capable of engaging CXOs to shape data and AI strategies.
    This role requires someone equally comfortable discussing cloud architecture with engineers, statistical models with data scientists, and business transformation with executive stakeholders.
    Key Responsibilities
    Client Leadership & Consulting
    • Serve as the trusted advisor for senior client stakeholders including CIO, CDO, CTO, VP Engineering, and Business Leaders.
    • Lead consulting engagements from discovery through implementation and value realization.
    • Conduct business assessments, identify AI opportunities, and develop enterprise AI and Data roadmaps.
    • Drive executive workshops, hypothesis-driven problem solving, and strategic advisory engagements.
    • Translate business problems into scalable technology and analytics solutions.

    AI & Advanced Analytics
    • Design and oversee enterprise AI solutions across Predictive Analytics, Machine Learning, Deep Learning, GenAI, and Agentic AI.
    • Lead development of forecasting, optimization, recommendation, computer vision, NLP, and anomaly detection solutions.
    • Build production-grade ML pipelines with MLOps best practices.
    • Guide experimentation, A/B testing, causal inference, statistical validation, and model governance.
    • Drive responsible AI, explainability, bias monitoring, and model observability.

    Data Engineering & Modern Data Platforms
    • Managed and designed scalable data architectures across cloud platforms.
    • Lead implementation of modern data platforms using:
      • Snowflake
      • Databricks
      • BigQuery
      • Microsoft Fabric
      • Redshift
    • Build enterprise-grade ELT/ETL pipelines using Spark, PySpark, SQL, dbt, Airflow, Dataflow, Kafka, and cloud-native services.
    • Drive Data Quality, Data Governance, Master Data Management, Metadata Management, and Data Catalog initiatives.
    • Optimize performance, scalability, and cost of cloud data platforms.

    Generative AI & Agentic AI
    • Design enterprise GenAI applications using LLMs.
    • Architect Retrieval Augmented Generation (RAG) systems.
    • Build AI Agents capable of reasoning, planning, orchestration, and tool usage.
    • Develop multi-agent workflows for enterprise automation.
    • Implement prompt engineering, evaluation frameworks, guardrails, and AI governance.
    • Integrate vector databases, knowledge graphs, semantic search, and enterprise knowledge management.

    Architecture & Engineering Leadership
    • Define enterprise architecture standards for AI and Analytics platforms.
    • Review solution architecture and engineering quality.
    • Guide engineering teams on scalable design patterns.
    • Drive API-first architecture and microservices-based AI deployment.
    • Lead CI/CD implementation for analytics and ML platforms.
    • Establish engineering best practices for reliability, security, observability, and maintainability.

    Delivery Leadership
    • Lead cross-functional teams comprising Data Engineers, Data Scientists, ML Engineers, Architects, and BI Developers.
    • Own solution delivery, governance, risk management, and stakeholder communication.
    • Mentor technical teams and establish engineering excellence.
    • Drive innovation initiatives, accelerators, reusable assets, and AI platforms.

    Business Development
    • Support pre-sales activities, solution design, and proposal development.
    • Lead client presentations, solution workshops, and executive demonstrations.
    • Develop reusable AI accelerators and industry-specific offerings.
    • Contribute to thought leadership through whitepapers, blogs, and conference presentations.

    Required Technical Skills
    Programming
    • Python
    • SQL
    • PySpark
    • Any BI tool

    Leadership Expectations
    The ideal candidate should demonstrate:
    • Strong engineering mindset with the ability to dive deep into technical discussions.
    • Ability to transition seamlessly between architecture, coding, consulting, and executive discussions.
    • Proven success managing teams of 20-100+ members across global delivery models.
    • Experience leading multi-million-dollar analytics and AI transformation programs.
    • Passion for mentoring and building high-performing engineering and consulting teams.

    Desired Educational Background
    • Bachelor's degree in Computer Science, Information Technology, Electronics, Mathematics, Statistics, or a related engineering discipline from a premier engineering institution
    • MBA, PGDM, or equivalent management degree from a premier business school.

    Ideal Candidate Profile
    The successful candidate will have begun their career as a hands-on software or data engineer, with strong experience in coding, system design, and data platform implementation. Over time, they should have progressed into leading analytics, AI, and engineering teams while developing strong consulting, client engagement, and business leadership capabilities. They should be equally adept at writing production-grade code when required, architecting enterprise-scale solutions, and influencing executive stakeholders to drive measurable business outcomes. This blend of technical depth, consulting acumen, and strategic leadership is essential for the role.

About Brillio

Brillio is a technology consulting and technology services company focused on the implementation of digital technologies.

Brillio Careers

There has never been a more opportune time to join Brillio—the forefront of innovation and digital transformation.

Opportunities Await

Brillio offers a plethora of job opportunities aimed at harnessing the potential of professionals eager to drive change. With a focus on technology and consulting, Brillio is not just a company; it's a vibrant ecosystem conducive to growth and professional development.

Transform Your Career

Embark on a journey of growth and leadership at Brillio. This is where industry expertise meets digital innovation to transform businesses and industries. Brillio stands out in the marketplace, providing a unique blend of technology solutions and strategic insights.

Join a Diverse and Inclusive Team

Brillio is committed to diversity and inclusion, ensuring a wide range of perspectives that fuel innovation and creative solutions. The team at Brillio, enriched with diverse skills and backgrounds, collaborates to deliver excellence and drive success.

Internship Programs and Employment

Kickstart your career with Brillio's internship programs, designed to offer hands-on experience and a gateway to full-time employment. Brillio is dedicated to nurturing young talent, providing them with the necessary tools and guidance to excel.

Innovate and Lead

At Brillio, every team member is an innovator and leader. The company fosters a culture of continuous learning and improvement, encouraging each individual to push boundaries and contribute to groundbreaking projects.

Networking and Professional Development

Networking at Brillio opens doors to influential connections, mentorship, and collaborative opportunities. Brillio supports career advancement through professional development, offering training in leadership, diversity, and specific job skills.

Benefits and Culture

Brillio is known for its dynamic culture and the comprehensive benefits it offers. Team members enjoy a supportive environment that values their well-being and professional growth.

Explore Job Positions

Brillio is hiring! Explore the various positions available that match your skills and interests. Brillio seeks passionate, curious, and solution-driven professionals ready to make an impact.

Prepare for Your Interview

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Learn more about Brillio
Industry
Technical Services
Founded
2014
* Ladders Estimates

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