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Job Description:
This job is responsible for the execution of data architectural solutions for complex initiatives that span multiple Lines of Business and control functions. Key responsibilities include facilitating solution driven discussions, working with stakeholders to support adherence to the enterprise data management policy and standards, and supporting architecture design reviews to ensure integration of data architecture principles in technology solutions. Job expectations include educating data management teams on enterprise data architectural principles and data management processes and routines.

Responsibilities:

• Partners with various technology teams to establish data solutions and architecture for large, complex initiatives that align with the enterprise data architecture strategy and strategic technology and platform decisions
• Develops clear and concise responses to questions from senior management and control partners regarding the enterprise data architecture strategy
• Manages multiple priorities in a matrixed environment with attention to detail and accuracy
• Communicates effectively to influence agreement between partners and escalates items, as needed, to ensure execution activities remain on track
• Ensures all relevant risk, financial, and compliance policies and standards are met
• Manages relationships with business and technology partners and creates an inclusive and healthy working environment to resolve organizational impediments and blockers
• Educates data management teams on enterprise data architectural principles, processes, and routines

Skills:

• Architecture
• Business Analytics
• Critical Thinking
• Data Management
• Data Visualization
• Consulting
• Data Modeling
• Process Design
• Regulatory Compliance
• Risk Management
• Cloud Solutions
• Collaboration
• Data Governance
• Talent Development
• Technical Strategy Development

Data Architect (Band 4)
Job Description:
The Enterprise Independent Testing (EIT) Analytics team is part of the Data, Infrastructure & Strategic Initiatives organization that provides foundational capabilities for EIT, which is the center of excellence that conducts independent testing globally across the company. EIT has established itself as the enterprise utility to test all end-to-end processes on behalf of Second Line of Defense, Frontline Units (FLUs) and Control Functions (CFs), enabling more efficient and effective testing. EIT is transforming the way testing is built and executed with digital transformation, implementing automation and leveraging cutting edge Artificial Intelligence/Natural Language Processing technologies. EIT carries a portfolio of 8,000+ tests and has a global footprint of testing professionals across the United States, Europe, Asia and Latin America as well as Global Business Services (GBS) associates.
EIT Analytics is responsible for partnering with stakeholders to identify data and reporting needs, leverage insight and capabilities to simplify data structure and reporting, delivering an improved experience while increasing focus on risk management.

Role Overview:
The EIT Data Architect is responsible for establishing deep knowledge of EIT's data infrastructure and overseeing the establishment of target data components between interfaces, ensuring alignment to business processes. The EIT Data Architect will also oversee the migration of the current data infrastructure to target state and communicate the details behind the vision that is clear, concise and consumable for a broad set of audiences that includes key stakeholders from across the Bank.
As a EIT Data Architect, main responsibilities will involve:
• Build data architecture that is optimized for large dataset retrieval, analysis, storage, cleansing, and transformation.
• Drive change towards a component-based architecture.
• Establish target interfaces between components.
• Challenge incoming requirements with respect to target state alignment.
• Evaluate and document technical design proposals.
• Establish appropriate solutions for sourcing all different types of data sources directly.
• Analyse and understand Front Line systems appropriately.
• Establish appropriate software solutions for complex technology problems.
• Performing in-depth analysis and challenge status quo to drive continuous improvement in implementations.
• Articulating the overall holistic picture of architecture strategy, with clear conclusions regarding appropriateness and remediation areas as required.
• Communicating implementation plans to stakeholders, including senior management.
• Oversee resource usage of tests and assess appropriateness.
• Able to influence strategic direction, as well as develop tactical plans.
Required Education & Experience:
• Bachelor's degrees or above in fields including but not limited to: Finance, Economics, Mathematics, Computer Science, Statistics, Process and Mechanical Engineering, Operations Research, Data Science, Accounting, Business Administration
• 8+ years of relevant work experience

Required Skills:
Intellectual Curiosity
• Applies critical thinking and connects the dots on how processes relate to one another.
• Demonstrates understanding of and passion for the "why".
• Looks around the corner, explores uncharted territories with an "outside-in" perspective.
• Life-long learner who not only assertively educates self, but encourages others to learn and grow.
• Feels ownership and accountability for delivering high quality work, able to prioritize effectively, adapt, and meet strict deadlines.
• Ability to recommend and implement process control improvements.
Executive Interaction & Communication
• Strong written, verbal, presentation creation and delivery skills.
• Communications are timely, concise, easy to follow and tailored to topic, audience, and competing priorities.
• Exercises excellent judgment, discerning appropriate moments to challenge or insert point of view.
• Presentations tell a compelling story and influence action.
• Asks the next level of questions, applies context to determine direction.

Technical Skills
• Experience designing, developing, and applying scalable software solutions.
• Programming experience via Python and SQL and possibly other languages.
• Building data architecture that is optimized for large dataset retrieval, analysis, storage, cleansing, and transformation.
• Good understanding of wide-ranging number of tools and ability to evaluate appropriateness as solution for a given problem.
• Ability to understand technical architecture in fine grain detail.
• Experience with Software Development Lifecycle.

Shift:
1st shift (United States of America)

Hours Per Week:
40