Company

GENAIArchitect

Knutsford, United Kingdom FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“GEN AI Architect. Skills: Data Architecture, AI/ML Architecture, Responsible AI & Governance, Data Strategy, Data Governance, Stakeholder Collaboration. 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; Protection of sensitive information; Achieve key business objectives

Industry & Context.

Problems you'll solve

Create solutions based on sophisticated analytical thought; Comparing and selecting complex alternatives; In-depth analysis with interpretative thinking will be required to 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

Collaborate with stakeholders to provide subject matter expertise and share knowledge

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

data solutions and monitoring of progress

Define shared reusable data capabilities

tools and technologies

Connect disparate data sources

Optimize data storage

Provide seamless data access

Maintain 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

Plan resources and budgets

Manage and maintain policies

Deliver continuous improvements

Escalate breaches of policies/procedures

Define jobs and responsibilities (if managing a team)

Plan for department’s future needs and operations (if managing a team)

Counsel employees on performance (if managing a team)

Contribute to employee pay decisions/changes (if managing a team)

Lead specialists to influence department operations

Balance short and long term goals

Ensure 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 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

Advise key stakeholders on functional and cross functional areas of impact and alignment

Manage and mitigate risks through assessment

Demonstrate leadership and accountability for managing risk and strengthening controls

Demonstrate comprehensive understanding of organisation functions

Collaborate with other areas of work for business aligned support

Create solutions based on sophisticated analytical thought

Compare and select complex alternatives

Define problems and develop innovative solutions

Adopt and include 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; Train, guide and coach less experienced specialists

Communication Scope

Share knowledge; Advise key stakeholders, including functional leadership teams and senior management; Listen and be authentic

Process & Methodology

Management of the alignment of projects to the target data architecture, Monitoring of progress, 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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