Search for Manager roles in Data Modeling, specifically in the banking industry, located in Baltimore, preferably part-time positions, and looking for candidates with at least 4 years of experience.

Okay, I've searched for Manager positions in Data Modeling within the banking industry in Baltimore, focusing on part-time roles that require at least 4 years of experience. I have found 12 positions for you.

Manager

Baltimore, MD

Banking

4 years + Experience

Part-time

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The Manager, Ontology and Data Modeling role at Capital One is fundamentally about developing and maintaining enterprise ontologies that align with the company's data strategy, particularly within the Retail Bank division. This position requires a collaborative approach as the manager will work across various lines of business to integrate semantic technologies into Capital One products and services. A core responsibility is to define actionable problem statements, which suggests that the candidate must possess not only a deep technical understanding of data modeling and ontologies but also strong interpersonal skills to influence and align stakeholders. Candidates will encounter complex problems that require innovative solutions, often needing to balance competing priorities while advocating for the use of semantic technologies. Success in this role looks like rapidly progressing the ontology and data modeling roadmap, effectively communicating developments to senior stakeholders, and fostering a culture of knowledge sharing and collaboration. Overall, the role requires a blend of technical acumen and strategic foresight to navigate the intersection of data, technology, and business needs.

Company Analysis:

Capital One positions itself as more than a traditional bank, focusing on innovation and customer empowerment. This commitment to making banking better is reflected in the role of Manager, Ontology and Data Modeling, which aligns with the company’s overarching goal of utilizing technology to improve customers' financial lives. The culture appears to be supportive and inclusive, prioritizing collaboration and continuous improvement—ideal for someone in a strategic role like this one. The role is likely to provide significant visibility, given its responsibilities to connect various departments and advocate for the importance of semantic technologies. As a mid-level management position, it promises opportunities for professional growth and visibility with senior leadership, positioning the candidate to contribute to Capital One's innovative environment. This makes the alignment between personal success and team success exceptionally critical, as the company focuses on collaborative approaches to solving complex problems and driving innovation. Overall, the Manager, Ontology and Data Modeling role is designed to support the company’s strategic objectives around data integration and customer service.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Tell me about a time when you had to clearly communicate the benefits of a technical project to non-technical stakeholders.
Describe a challenging problem you faced in a metadata field, and how you approached solving it.
Can you give an example of a time when you had to influence a team decision? What strategies did you employ?
What methods have you used to stay updated with industry advancements in ontology and semantic technologies?
How would you approach defining a problem statement for a new ontology project that stakeholders are divided on?
What are some steps you would take to prioritize the ontology and data modeling roadmap?
Imagine you are managing a project where the proposed ontology is not achieving expected results. How would you proceed?
If a critical stakeholder is resistant to the adoption of semantic technologies, how would you address their concerns?
Why are you interested in working at Capital One specifically?
How do Capital One’s values of innovation and customer empowerment resonate with your professional goals?
What unique perspectives would you bring to the Manager, Ontology and Data Modeling role that align with our company mission?
What are the most important skills for this role from your perspective, and how do you plan to hone them further?
If you had to ask one question about the team culture for the Ontology and Data Modeling group, what would it be?

Job Details

Overview Company

Manager, Ontology & Data Modeling

$144k/y-$180.8k/y

Capital One

10 days ago

Highlight

HybridPart-time4+ yearsMid

Summary

Capital One is seeking a Manager, Ontology and Data Modeling for their Retail Bank in Baltimore, MD. The role involves developing, implementing, and maintaining enterprise ontologies to support Capital One's Data Strategy.

About the Role

As a Manager, Ontology and Data Modeling, you will collaborate across Capital One Lines of Business and Functions to develop domain ontologies for enterprise initiatives. You will support the integration of semantic technology into Capital One products and services, define problem statements, leverage customer insights, and prioritize the Ontology and Data Modeling roadmap. You will also manage teams, contribute to data integration efforts, and advocate for the value of ontologies and semantics across the business.

About You

Required:

Bachelor’s degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics.
At least 4 years’ experience in a metadata field of work (ontology, taxonomy, semantics or computational linguistics).
At least 4 years’ experience or training in using W3C standards including linked and canonical data and ontologies (JSON, XML, RDF, RDFS, OWL, and SKOS).
At least 4 years’ experience or training in ontology and linked data tools (Protégé, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data.World).
At least 4 years’ experience or training with SQL or SPARQL.

Preferred:

Master’s degree or PhD in information science, computer science, engineering, library science, ontology, semantics or computational linguistics.
Understanding of the development of ontologies and the use of controlled vocabularies and thesauri in enhancing the discovery of management of enterprise data.
Familiarity with graph databases and technologies.
Familiarity with Python or R.
Familiarity with JSON, OpenAPI/YAML, AVRO.
Familiarity with Agile principles, processes, and methodologies.
Familiarity with Amazon Web Services.
Detail-oriented and an ability to problem-solve independently.
Strong reading and writing skills.
Strong project management experience.
Excellent communication skills and the ability to present ideas clearly and with confidence.
Ability to work individually and with a team to meet deadlines.

Benefits

Performance based incentive compensation, which may include cash bonuses and/or long term incentives.
Comprehensive, competitive, and inclusive set of health, financial and other benefits that support total well-being.

Capital One

At Capital One, we're making things better for our customers and associates through innovation and collaboration. We were founded on the belief that everyone deserves financial freedom—and are dedicated to a world where all have equal opportunity to prosper.

Banking is in our DNA, but we are so much more than a bank. We always think about what’s next—and how we can bring our customers the tools needed to improve their financial lives. Your ideas, experiences and skills will help make banking better. You’ll be part of a supportive culture while earning amazing benefits. That’s life at Capital One.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

View our Social Media Community Guidelines https://www.capitalone.com/digital/social-media/

Baltimore, MD