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Managing Director, Data, AI, Cloud
TELUS Digital. Collaborate with executive leadership to define the company's Data, AI & Cloud vision, strategy, and goals .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive leadership in Data, AI, and Cloud strategy development, with a strong focus on financial performance and client relationship management. Proven ability to lead high-performing teams and drive revenue generation through innovative solutions and strategic partnerships.
Highest-signal resume keywords
Leadership Experience in Technology ConsultingData Engineering ExpertiseData Science KnowledgeP&L ManagementStrategic Thinking
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringData ScienceAI TechnologiesFinancial Performance MonitoringRevenue Generation StrategiesProject ManagementBusiness DevelopmentData-Driven Insights DeliveryDigital TransformationEmerging Trends Analysis
Soft Skills
Exceptional LeadershipPeople ManagementStrategic ThinkingProblem-SolvingCollaboration Skills
Industry Keywords
DataAICloudConsultancyCustomer Experience StrategiesExecutive PartnershipsGlobal TeamsThought LeadershipMarket OpportunitiesBest Practices
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Collaborate with executive leadership to define the company's Data, AI & Cloud vision, strategy, and goals
- Identify emerging trends, market opportunities, and industry best practices to drive growth
- Lead the planning, development, and execution of the Data, AI & Cloud strategic roadmap
- Assume accountability for the financial performance of the Data, AI & Cloud consulting practice
- Partner with Practice Leaders and Business Development to grow managed accounts
- Develop and implement revenue-generation strategies to meet or exceed annual revenue targets
- Monitor financial performance, identify improvement areas, and implement corrective actions
- Build and lead high-performing teams of Data Engineers, Data Scientists, AI Strategists, and AI Engineers
- Foster excellence, innovation, collaboration, and continuous learning across global Data, AI & Cloud teams
- Partner with clients to identify business challenges and design tailored Data, AI & Cloud solutions
- Oversee delivery of data-driven insights, models, and strategic recommendations
- Provide thought leadership and build trusted-advisor relationships with key client stakeholders
- Shape the company's overall vision, strategy, and growth with P&L responsibility
Requirements
What you’ll need- 10+ years of relevant leadership and team management experience within a top-tier management consultancy at Partner level or a global and publicly traded enterprise at VP, SVP, or C-level
- Focus on AI, Data Engineering, Data Science, or related fields
- Experience leading a line of business for a mid-size to large consultancy
- Leadership experience in technology consulting, project management, and executive partnerships
- Proven experience leading cross-functional teams and managing P&L responsibilities
- In-depth knowledge of Data Engineering, Data Science, and AI technologies and tools
- Familiarity with emerging trends, best practices, and advancements in Data, AI & Cloud applications
- Deep knowledge of customer experience strategies and digital transformation
- Exceptional leadership and people management skills
- Excellent strategic thinking, problem-solving abilities, and business acumen
- Proven ability to develop and maintain effective relationships with clients and key stakeholders
- Outstanding written and verbal communication skills, including presenting complex ideas to C-level and Executive audiences
- Strong collaboration skills across diverse teams and cultures
- Proficiency in English is required
- Additional fluency in Spanish or Portuguese is a plus
Benefits
Comp & perks- Equity
- Annual bonus of 35% of base salary, subject to the terms and conditions of the annual plan design
- Hybrid work arrangement
- Opportunity to work with a global team
- Professional growth through leadership of Data, AI & Cloud capabilities