Data Designer II (US)

TD Bank•Mount Laurel, NJ

2d•Onsite

About The Position

The Data Designer II gathers and translates business data extraction and consumption requirements into technical specifications, ensuring proper data ingestion, curation, and consumption. The role clarifies solution designs that support business strategies and analytical initiatives, particularly when requirements are unclear, and documents, prototypes, and validates current- and future-state data flows. It provides subject matter expertise by identifying business processes that affect data curation and explaining their impact on data. This expert-level professional role requires in-depth expertise in the specialty area and working knowledge of related areas. The designer works autonomously, may coach or educate others, and leads projects of moderate to complex risk and resource requirements. The position involves working with very large datasets, big data technologies, programming languages, and visualization tools, while keeping abreast of developments in business information management. The Data Designer II supports business and technology initiatives across the data lifecycle, including data impact assessment, data quality, governance, metadata and lineage, data security, and resolution of data issues. The role collaborates with stakeholders and technical teams to define requirements, design and deliver data solutions, evaluate outcomes, and support users. It also contributes to team development, knowledge sharing, risk management, and compliance with enterprise policies and regulatory guidelines.

Requirements

Undergraduate degree or technical certificate, and/or 3+ years of relevant experience in a business administration, statistical, mathematical, scientific, or financial background.
Expert-level conceptual and practical knowledge in the specialty area and working knowledge of broader related areas.
Advanced analytical and problem-solving skills.
Fluency in one or two programming languages.
Ability to work autonomously and coach or educate others.
In-depth experience working with very large datasets and familiarity with big data technologies.
Familiarity with visualization tools.
Ability to interpret, communicate, and document business and technical data requirements.
Ability to understand and navigate multiple systems, technologies, and architectural patterns, adapt to evolving processes, and resolve gaps effectively.
Self-motivated, quick learner with a strong sense of ownership and a record of proactively communicating progress and outcomes.

Nice To Haves

1+ year of experience working with data platforms and related technologies.
1+ year of knowledge and application of data engineering concepts.
1+ year of experience developing complex data mappings with business and technical stakeholders.
2+ years of experience analyzing complex SQL and translating technical logic into clear business requirements and insights.
6+ months of cloud platform experience, preferably Microsoft Azure.
Commercial Banking industry experience.

Responsibilities

Translate business data extraction and consumption requirements into technical specifications and clarify solution designs supporting business strategies and analytical initiatives.
Document, prototype, and validate current- and future-state data flow processes.
Provide expert guidance on data impact assessments and data risk mitigation for projects and change initiatives.
Implement processes aligned with data information management standards and develop data quality requirements, rules, thresholds, and assessments.
Maintain knowledge of available data from upstream sources and platforms; identify critical data and critical data elements for governance and management frameworks.
Ensure business data and information are retained and disposed of in compliance with enterprise standards, policies, and guidelines.
Profile data using TD tools and ad hoc query languages to validate data prototyping solutions.
Support the data lifecycle by resolving data issues and helping users interpret data.
Lead investigations into root causes of data issues and ensure issues are resolved while developing prototyping solutions.
Define knowledge-transfer and data expertise activities that support business teams using information management solutions.
Adhere to enterprise frameworks and methodologies related to data activities; ensure operations comply with internal and external requirements.
Collaborate with business partners and stakeholders to define requirements, research and document business data needs, and support project success.
Participate in cross-functional and enterprise initiatives as a subject matter expert, identifying risks and advising on complex situations.
Conduct functional or enterprise-level analysis, draw conclusions, make recommendations, and assess the effectiveness of programs, policies, and practices.
Monitor emerging issues, trends, and regulatory requirements and assess potential impacts; promote a culture of risk management and control.
Collaborate with technology and business teams to align and deliver data solutions.
Facilitate data analysis and investigations for business users and QA teams, assist with complex issues, and validate business cases during development and testing.
Oversee business impact after implementation and verify that data solutions meet intended outcomes during the warranty period.
Coordinate business requirements with technical teams and support integration of data into source code repositories and effective source code management.
Lead or participate in business and technical design reviews to ensure data architectures meet operational and business objectives.
Raise and manage change requests with business stakeholders and support release management and timely delivery.
Lead data governance and data management initiatives, aligning business requirements with enterprise policies.
Document business metadata and data lineage and integrate them with enterprise metadata management tools.
Follow and promote data security best practices, documenting requirements and technical decisions and communicating risks, lessons learned, and enhancement opportunities.
Safeguard organizational interests by identifying and managing risks and complying with internal policies and regulatory guidelines.
Stay current on industry trends, business processes, data tools, and best practices; foster collaboration and share knowledge between business and technology teams.
Participate as a team member, communicate project progress and relevant issues, contribute to team skills through mentorship and knowledge sharing, and support a positive, fair, and inclusive work environment.
Build productive relationships with internal and external business partners and act as a brand ambassador for the business area and bank.