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Managing Applications Consultant – Data & AI

Toronto, ON
  • Number of positions available : 1

  • To be discussed
  • Starting date : 1 position to fill as soon as possible

Managing - Engagement Lead- Data & AI - Utilities

Job Description

Capgemini Canada is seeking an experienced Delivery Executive to oversee the delivery of transformational Data and AI programs in the Utilities Sector. In this pivotal role, you will be the vital link between business needs and technological innovation, leveraging diverse emerging solutions to deliver business-focused outcomes. The Delivery Executive role in the Insights & Data division blends delivery leadership, client management, and driving innovative solutions. It is an ideal fit for someone who thrives in helping large utilities derive value from investments in Data and AI.

Key Responsibilities:

  • Act as a Delivery Executive for business-critical engagements: manage risks & client relationships.
  • Apply your industry expertise to drive delivery quality, profitability, and productivity across the portfolio of projects under Capgemini management.
  • Responsible for contract delivery of one or more accounts. Escalation SPOC for all delivery issues on the engagement.
  •  Supervise delivery by coordinating with engagement and program managers.
  • Ensure the financial performance of engagements is in line with budget and profitability targets.
  • Provide delivery support – issue resolution plans follow-ups to ensure on-time, on-budget, and quality delivery execution.
  • Provide technical thought leadership & expertise to help delivery teams and clients solve complex Data, AI & Analytics problems.
  • Deploy core delivery process: risk management, quality controls, scope management, and change request management.
  • SPOC for all delivery-related issues for the account team, client team, and project team
  • Monitor assigned responsible delivery engagements within the region
  • Partner with business development & sales teams to create tailored AI solutions that address the complex needs of enterprise clients across various industries.
  • Inspire and educate clients and internal teams about the latest trends and innovations in AI & Data technologies.
  • Manage internal and external stakeholders: communications and relationships.
  • Conduct monthly reviews focusing on delivery KPIs and the financial status of projects.
  • Build strong client relationships.

 

Required Skill 
  • 10+ Years of delivering Data, AI, or Analytics solutions at an enterprise level.
  • Deep understanding of Data & Analytics technologies, delivery methodologies, and platforms.
  • It is preferred that you have 5+ years of experience delivering complex data solutions on Hyperscaler platforms (Azure, AWS, GCP). 
  • In-depth understanding of program management methods
  • Proven track record in operational management (in both senior internal roles and client-facing engagement)
  • Expert-level leadership skills with the ability to operate and lead strategically and tactically from a delivery perspective.
  • Ability to effectively manage and coordinate crises, drive internal resolution activity, and manage client engagement.
  • Articulate and engage technically with senior technology/management team of customers.
  • Passionate about talent development & mentorship
  • Excellent communication skills and proven collaboration skills

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Life at Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: 

  • Collaborating with teams of creative, fun, and driven colleagues
  • Flexible work options enabling time and location-based flexibility
  • Company-provided home office equipment 
  • Virtual collaboration and productivity tools to enable hybrid teams
  • Comprehensive benefits program (Health, Welfare, Retirement and Paid time off) 
  • Other perks and wellness benefits like discount programs, and gym/studio access.
  • Paid Parental Leave and coaching, baby welcome gift, and family care/illness days
  • Back-up childcare/elder care, childcare discounts, and subsidized virtual tutoring 
  • Tuition assistance and weekly hot skill development opportunities
  • Experiential, high-impact learning series events
  • Access to mental health resources and mindfulness programs
  • Access to join Capgemini Employee Resource Groups around communities of interest 

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Applicants for employment in Canada must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in Canada by Capgemini.




Requirements

Level of education

undetermined

Work experience (years)

undetermined

Written languages

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Spoken languages

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