Company
GENAIArchitect
Neural analysis suggests this role is
optimal for Mid+ candidates.
“GEN AI Architect. Skills: Data Architecture, AI/ML Architecture, Responsible AI & Governance, Data Governance, Data Modelling. Define, direct and govern the bank’s target data architecture. Develop the bank's data architecture strategy”
What You'll Achieve.
Ensuring that data is accurate, secure and accessible to meet the needs of stakeholders; Support business strategy; Promote standardised, consistent, safe and value-driven data usage; Support data quality, accuracy and consistency and the protection of sensitive information; Provide guidance, data solutions and monitoring of progress; Connect disparate data sources, optimise data storage and provide seamless data access; Directs how data is logically and physically structured within the banks physical data resources; Potential impact on the banks operations, controls and application portfolio; Ongoing assessment of compliance with the bank's service level agreements and quality standards; Deliver continuous improvements; Create an environment for colleagues to thrive and deliver to a consistently excellent standard; Achieve outcomes using influencing and negotiating skills
Industry & Context.
Sophisticated analytical thought; Comparing and selecting complex alternatives; In-depth analysis with interpretative thinking; Define problems and develop innovative solutions; Adopt and include the outcomes of extensive research in problem solving processes
What They're Looking For.
Must Have
Experience of Advanced AI/ML Architecture, Experience of Responsible AI & Governance
Nice to Have
Research Publication Record Experience, Industry Speaking Experience, Cross-Industry AI Implementation, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, dbt Certified
What You'll Do.
direct and govern the bank’s target data architecture
Develop the bank's data architecture strategy
Translate bank-wide goals and objectives into target data architecture and transition plan
Provide subject matter expertise and share knowledge to promote standardised
safe and value-driven data usage
Develop and maintain the bank's data architecture governance
standards and protection policies
Manage the alignment of projects to the target data architecture
Define the shared reusable data capabilities
tools and technologies
Custodianship of an overarching data model
Monitor applicable regulatory standards and industry developments
Identify and select best-in-class data technologies
Assess compliance with service level agreements and quality standards
Contribute or set strategy
Make recommendations for change
Manage and maintain policies
Deliver continuous improvements
Escalate breaches of policies/procedures
Define jobs and responsibilities (if managing a team)
Plan for the department’s future needs and operations (if managing a team)
Counselling employees on performance (if managing a team)
Contributing to employee pay decisions/changes (if managing a team)
Lead a number of specialists to influence the operations of a department
Balance short and long term goals
Ensure that budgets and schedules meet corporate requirements
Demonstrate leadership behaviours to create an environment for colleagues to thrive
Be a subject matter expert within own discipline (individual contributor)
Guide technical direction (individual contributor)
multi-year assignments (individual contributor)
Guide team members through structured assignments (individual contributor)
Identify the need for the inclusion of other areas of specialisation (individual contributor)
guide and coach less experienced specialists (individual contributor)
Provide information affecting long term profits
organisational risks and strategic decisions (individual contributor)
Advise key stakeholders on functional and cross functional areas of impact and alignment
Manage and mitigate risks
Demonstrate leadership and accountability for managing risk and strengthening controls
Demonstrate comprehensive understanding of the organisation functions
Collaborate with other areas of work
Create solutions based on sophisticated analytical thought
Adopt and include the outcomes of extensive research in problem solving processes
build and maintain trusting relationships and partnerships
Use influencing and negotiating skills to achieve outcomes
How You'll Work.
Team & Collaboration
Collaboration with stakeholders, including data operations, engineers and analysts; Collaborate with other areas of work, for business aligned support areas; Lead collaborative, multi-year assignments; Guide team members through structured assignments; Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders
Communication Scope
Share knowledge; Advise key stakeholders, including functional leadership teams and senior management; Listen and be authentic; Energise and inspire; Align across the enterprise
Process & Methodology
Management of the alignment of projects to the target data architecture, Plan resources, budgets, Manage and maintain policies, Deliver continuous improvements, Balance short and long term goals, Ensure that budgets and schedules meet corporate requirements
Full Job Description
# **Job Description** **Purpose of the role** To define, direct and govern the bank’s target data architecture (inc. shared data environment, data model and standards) in support of business strategy, ensuring that data is accurate, secure and accessible to meet the needs of stakeholders. **Accountabilities** * Development of the banks data architecture strategy, including the translation of bank-wide goals and objectives into target data architecture and transition plan. * Collaboration with stakeholders, including data operations, engineers and analysts, to provide subject matter expertise and share knowledge to promote standardised, consistent, safe and value-driven data usage. * Development and maintenance of the banks data architecture governance, standards and protection policies, regarding data models, authoritative data stores, and data capabilities, to support data quality, accuracy and consistency and the protection of sensitive information. * Management of the alignment of projects to the target data architecture through the provision of guidance, data solutions and monitoring of progress. * Definition of the shared reusable data capabilities, assets, tools and technologies required to connect disparate data sources, optimise data storage and provide seamless data access. * Custodianship of an overarching data model that directs how data is logically and physically structured within the banks physical data resources, e.g. database, interfaces and reports. * Monitoring applicable regulatory standards and industry developments for potential impact on the banks operations, controls and application portfolio. * Identification and selection of best-in-class data technologies and ongoing assessment of compliance with the bank's service level agreements and quality standards. **Vice President Expectations** * To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/
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