Data Modeler/Ontologist [Banking domain]

We are

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20 years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500 , and has 58 offices in 21 countries within key global markets.

Our challenge:

We are seeking a highly skilled Data Modeler/Ontologist with extensive experience in retail banking to join our dynamic team. The ideal candidate will have a strong background in data modeling, ontology development, and the utilization of graph databases. You will be responsible for designing and implementing data models, managing source-to-target mappings, and overseeing catalog management to enhance our data governance practices.

Additional Information*

The base salary for this position will vary based on geography and other factors.

In accordance with law, the base salary for this role if filled within Pittsburgh, PA/ Dallas, TX is $110k-$120k/year & benefits (see below).

The Role

Responsibilities:

• Data Modeling: Design, develop, and maintain conceptual, logical, and physical data models that support business requirements and data analytics initiatives within the retail banking domain.
• Ontology Development: Create and manage ontologies that define the relationships between different data entities, ensuring that they align with business processes and regulatory requirements.
• Graph Database Management: Utilize graph database technologies to model complex relationships and connections between data entities, optimizing data retrieval and analysis.
• Source-to-Target Mapping: Develop and maintain comprehensive source-to-target mappings for data integration processes, ensuring data integrity and accuracy across systems.
• Catalog Management: Implement and manage data catalogs that facilitate data discovery and promote data governance practices across the organization.
• Collaboration: Work closely with data architects, data engineers, business analysts, and other stakeholders to ensure alignment of data models with business goals.
• Documentation: Create and maintain documentation for data models, ontologies, source-to-target mappings, and data governance practices.
• Best Practices: Establish and promote best practices for data modeling, ontology development, and data governance within the organization.
• Training and Support: Provide training and support to team members and stakeholders on data modeling and catalog management tools and processes.

Requirements:

You are:

• Bachelor s degree in Computer Science, Information Technology, Data Science, or a related field. Master's degree preferred.
• Minimum of 8 years of experience in data modeling and ontology development, specifically within the retail banking sector.
• Hands-on experience with graph databases (e.g., Neo4j, Amazon Neptune) and associated querying languages (e.g., Cypher, SPARQL).
• Strong understanding of source-to-target mapping techniques and data integration processes.
• Familiarity with data catalog management tools (e.g., Alation, Collibra, Apache Atlas).
• Proficient in data modeling tools (e.g., ER/Studio, ERwin, Lucidchart).
• Excellent analytical and problem-solving skills with a strong attention to detail.
• Strong communication and interpersonal skills, with the ability to work collaboratively in a team environment.
• Knowledge of data governance frameworks and best practices is a plus.

We can offer you:

• A highly competitive compensation and benefits package
• A multinational organization with 58 offices in 21 countries and the possibility to work abroad
• Laptop and a mobile phone
• 10 days of paid annual leave (plus sick leave and national holidays)
• Maternity & Paternity leave plans
• A comprehensive insurance plan including: medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region)
• Retirement savings plans
• A higher education certification policy
• Commuter benefits (varies by region)
• Extensive training opportunities, focused on skills, substantive knowledge, and personal development
• On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses
• Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups
• Cutting edge projects at the world s leading tier-one banks, financial institutions and insurance firms
• A flat and approachable organization
• A truly diverse, fun-loving and global work culture.

SYNECHRON S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative Synclusive is committed to fostering an inclusive culture promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.