AI Success Manager VaporVM

Employer Active

Posted on 4 Jun

Experience

1 - 4 Years

Education

Any Graduation()

Nationality

Any Nationality

Gender

Not Mentioned

Vacancy

1 Vacancy

Job Description

Roles & Responsibilities

Job Description:

We got this opportunity from codeninja and they need they need the best resources, Please see the budget and timeline.

As shared by client:

Total Time approx 7.5 months

Total cost SAR 650K /- exclusive of VAT

Onsite resource requirement will be added separately on later stage. But if needed please SAR 100K each depends on the requirements.

Al Success Manager Job Description:

Responsibilities

Lead the setup of AA & Al use case squads, ensuring identification and nomination of different roles within the squad, and liaising with different BUs.

Work with the Analytics Platform Administration Manager to set up the infrastructure and request access for use case squad members to start development.

Work closely with all AA & Al use case squads during the model development phase to support debottlenecking issues.

Work with the Analytics Platform Administration Manager during the operationalization stage of the use case to ensure smooth transfer of models to the production environment and that all aspects are working as intended.

Collaborate with and support ABP and BUs during the change management process of adopting AA & Al use case outputs into BAU processes.

Conduct operational governance by recording and reporting completion of different development and value realization stages of AA & Al use cases, steps, and milestones for all applicable BUs to the strategic governance body.

Support the wider COI team, BU, and Finance team in setting up impact-tracking methodology for AA & Al use cases.

Required Skills & Competencies

Excellent understanding of machine learning models.

Well-versed in the different steps of the AA & Al use case lifecycle.

Basic understanding of banking finance and revenue models.

Basic familiarity with main use case development concepts:

Data engineering

Feature engineering

Model building

Testing

Operationalization

Basic familiarity with Python, R, and DataRobot (a plus).

Excellent interpersonal, stakeholder management, and communication skills.

Excellent leadership skills to effectively collaborate with and manage multiple teams.

Excellent planning, time management, and organizational skills.

Detail-oriented and execution-focused approach.

Ability to manage own workload, work efficiently, and meet deadlines.

Apply Now

Company Industry

Department / Functional Area

Keywords

  • AI Success Manager

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