Center 3 (19075), United States of America, McLean, Virginia
Director, Data Product Strategy & Governance
As the Director, Data Product Strategy & Governance at Capital One, you will lead the portfolio of Data Products and Data Strategy that are fueling our business. You'll apply your business, data, and strategic problem solving skills to tackle scaled data challenges that directly impact our bottom line. And, you will do it in a collaborative environment that values your insight, encourages you to take on new responsibility, promotes continuous learning, and rewards innovation.
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/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
At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
New York City (Hybrid On-Site): $233,100 - $266,000 for Director, Ontology and Data Modeling
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
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