Director, Strategy & Consulting

Brillio

. Drive the growth and expansion of the data engineering and analytics practice across North America, achieving measurable revenue and profitability targets .

Posted 10/7/2026full-timeSan Francisco • California • United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive expertise in Data Engineering and Analytics, with a strong focus on driving growth and profitability through strategic initiatives and client engagement. Proven ability to lead global teams, foster collaboration, and deliver high-performance solutions in Data and AI services.

Highest-signal resume keywords

Data Engineering ExpertiseAnalytics Platform ProficiencyCloud Expertise (Azure, AWS, GCP)Programming Proficiency (SQL, R, Python, Java)SAFe Certification or Equivalent

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringAnalyticsData ScienceAI TechnologiesStatistical AnalysisReporting Tools (Power BI, Tableau, Looker, Alteryx, Domo)Web Analytics Tools (Google Analytics, Adobe Analytics)A/B TestingSQLPython

Soft Skills

LeadershipCollaborationCustomer AdvocacyStrategic ThinkingInfluencing

Tools & Technologies

Power BITableauLookerAlteryxDomoGoogle AnalyticsAdobe AnalyticsOptimizelyWordPressA/B Testing Platforms

Certifications & Qualifications

SAFe Leading SAFe (SA)Agile Credentials

Industry Keywords

Data EngineeringAnalyticsCloud ComputingData ScienceAI ServicesGlobal TeamsClient EngagementConsultative SolutioningAgile FrameworksDigital Acumen

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformJavaPythonSQLTableauWordPress

About the role

Key responsibilities & impact

Drive the growth and expansion of the data engineering and analytics practice across North America, achieving measurable revenue and profitability targets
Develop and execute go-to-market strategies and solution offerings
Enable sales and client partner teams to effectively sell Data and AI services
Build and manage large delivery and technology teams across global locations
Ensure high performance and resilience across global teams
Establish and nurture executive-level relationships with client stakeholders
Advocate for customer success and deliver strategic value
Shape and lead large deal strategies
Elevate practice messaging across alliances, analyst relations, external events, websites, and social media
Direct delivery execution with hands-on leadership and guidance for technology and consulting teams
Foster collaboration, innovation, and excellence across teams
Empower teams and develop leadership capabilities across delivery, technology, and program management
Serve as a thought leader, influence industry trends, and elevate the brand through strategic initiatives

Requirements

What you’ll need

At least 18 years of experience in IT, including significant expertise in data engineering, analytics, and practice leadership spanning global teams
Advanced proficiency in data engineering and analytics platforms
Deep understanding of Data Science and AI technologies
Cloud expertise with Azure, AWS, or GCP
Hands-on experience with reporting and data management tools such as Power BI, Tableau, Looker, Alteryx, or Domo
Experience with web analytics tools including Google Analytics, Adobe Analytics, Optimizely, WordPress, and A/B testing platforms
Knowledge of statistical analysis techniques such as regression, hypothesis testing, and cluster analysis
Programming proficiency in SQL, R, Python, and Java
Bachelor's degree in Computer Science, Information Technology, Engineering, or a closely related discipline (desired qualification)
Certification in SAFe Leading SAFe (SA) or equivalent agile credentials (desired qualification)
Preferred: experience running workshops and discovery sessions with clients
Preferred: consultative solutioning and roadmap development
Preferred: expertise in business operations and digital acumen
Preferred: advanced knowledge of agile frameworks and methodologies
Preferred: familiarity with analytics-driven marketing and retargeting tools