Director, Data Product Strategy

1 month ago

McLean, United States Capital One Full time

Center 3 (19075), United States of America, McLean, Virginia

Director, Data Product Strategy & Governance

The Data Product Strategy & Governance director reports into our Chief Data Organization and is responsible for driving an integrated data strategy that meets the diverse needs of Capital One. In this role, you'll work collaboratively with data owners across the business to develop, scope and launch Data Products in support of enterprise initiatives.

**Primary Responsibilities**
- ** Business Focus**:

- Build relationships with key business partners and manage a portfolio of strategic initiatives
- Develop and continuously evolve data strategies that drive growth, profitability, and competitive success for Capital One in light of industry trends, emerging solutions, new insights and changing customer and business needs
- Establish the destination ecosystem of Data Products to power COF's business agenda and roadmap to get there, partnering with LOBs to regularly drive alignment, secure resources and overcome impediments
- **
Problem Solving**
- Drive delivery of Data Product strategy and roadmap inclusive of change management considerations that impact people, process, and technology. Oversee multiple projects and programs concurrently
- Work closely with colleagues across Capital One including LoB partners, Technology and Product leaders to influence end-state architecture and drive secure, resilient, performant, scalable, and intelligent solutions that solve material customer and business problems
- Solve strategic problems based on analytics and conceptual thinking
- Leverage executive forums and quarterly reporting to drive engagement
- Drive agreement and outcomes through impeccable executive-level written and oral communications, strategic influencing and negotiation skills, as well as interpersonal skills
- **
Leadership**
- Attract, grow, empower, and inspire a high performing team of ontologists as they develop and deliver the Data Product agenda in an iterative, outcome-focused and well-managed way
- Create an environment of partnership and collaboration that fosters innovation, holds business partners accountable, and consistently deliver results
- Display an intense focus on results, achieving both short and long term goals in an uncertain and fluid environment
- **
Live the Values**
- Demonstrate strong business judgment, leadership and integrity through tenacious and influential decision making that is healthy, aggressive and a responsible approach to business

**Role-Based Competencies**
- Intellectually Curious. You’re comfortable navigating between the big ideas and executional realities to create an achievable strategic Data Product vision. Comfortable with ambiguity, a hunger to learn and a seeker of new challenges.
- Communicator & Influencer. You’re comfortable influencing a group of executives as well as communicating your Data Product vision clearly to your associates and partners. You can be open to different communication styles and listen carefully to diverse sets of ideas.
- Do-er. You’re biased toward action, and are willing to make commitments and trade-offs with other leaders to remove impediments for your team; you are a leader obsessed with delivering valuable in an iterative way focusing in minimum viable product
- Passionate & Customer Focus. You care about growing others and bringing them together around what’s possible. You have a desire and ability to connect with our external or internal customers to fully understand their needs and build long lasting relationships.
- Learner. You have an appetite to learn new things or new technologies all while exhibiting humbleness when exploring unknown technologies; you will seek for internal solutions before building new
- Team Player. You enjoy working with diverse people and driving the team toward a common goal. You are also able to coach others and be a mentor in Ontology and Data Modeling.

**Basic Qualifications**
- Bachelor’s degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics
- At least 8 years’ experience in a metadata field of work (ontology, taxonomy, semantics or computational linguistics)
- At least 8 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)

**Preferred Qualifications**
- Master’s degree or PhD in information science, computer science, engineering, library science, ontology, semantics or computational linguistics
- 6+ years of experience translating business strategy and analysis into enterprise semantic solutions
- Familiarity with SQL or SPARQL
- Familiarity with graph databases and technologies
- Familiarity with Python or R
- Familiarity with JSON, OpenAPI/YA

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