Full-Time

Chief Data & Analytics Officer

Confirmed live in the last 24 hours

SWBC

SWBC

11-50 employees

Consulting
Fintech
Financial Services

Expert

San Antonio, TX, USA

Category
Data Management
Data Science
Data & Analytics
Required Skills
Data Science
SQL
Data Analysis
Requirements
  • Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Business Analytics, Information Technology, or a related field.
  • Master’s degree or MBA in Data Science, Business Analytics, or related fields is highly preferred.
  • Certifications in data governance, analytics, or AI (such as Certified Analytics Professional or DAMA Certification) preferred.
  • Minimum of ten (10) years of experience in data management, business intelligence, analytics, or related fields, with at least five (5) years in leadership roles.
  • Proven experience leading large-scale data initiatives and transforming data into business value.
  • Strong experience in data governance, data architecture, and data strategy development.
  • Expertise in advanced analytics, machine learning, AI, and cloud-based data platforms is essential.
  • Broad understanding of the full range of strategic data and analytics capabilities, and the ability to communicate these concepts, methods and techniques in ways easily understood by other stakeholders.
  • Ability to describe business use cases/outcomes, data sources and management concepts, and analytical approaches/options.
  • Ability to translate among the languages used by executive, business, IT and quant stakeholders.
  • Advance knowledge of business process.
  • Working knowledge of applicable laws and regulations.
  • Advanced organizational planning and multi-tasking skills.
  • Advanced collecting and analyzing data skills.
  • Proficient negotiation skills.
  • Advanced problem solving, managing priorities, and deadlines skills.
  • Able to communicate and interact effectively in verbal and written communications.
  • Able to work collaboratively and build relationships.
  • Able to analyze, organize, and prioritize work.
  • Able to be adaptable.
  • Advanced Microsoft Office skills, including Outlook, Word, and Excel.
  • Working knowledge of SQL and SQL development tools.
  • Able to travel locally or nationally by car or plane.
  • Sit for long periods of time performing sedentary activities.
Responsibilities
  • Maintains authority and accountability for exploiting the value of enterprise information assets, and of the analytics used to render insights for decision making, automated decisions and augmentation of human performance.
  • Builds partnerships with executive leadership and divisional leaders to establish the vision for managing data as a business asset — to exploit data and analytics capabilities to maximize the value derived from data assets.
  • Defines data and analytics vision, strategy, technology and associated practices. Lead the creation (and assure the ongoing relevance) of the organization’s data and analytics strategy.
  • Institutes an enterprise operating model for data and analytics that is consistent with the capabilities and competencies required to execute the strategy and fulfill the business reporting needs.
  • Fosters the creation of a data-driven culture, related competencies and data literacy across the enterprise. Leads these transformation efforts by developing D&A talent and maturing the capability of the organization.
  • Oversees delivery models, technology, methods and practices for creation of data products and to ensure consistent application and use of data and analytics solutions.
  • Establishes and maintains trust in data assets by instituting governance mechanisms for data and algorithms used for analysis, analytical applications and automated decision making.
  • Leads data-driven innovation for the enterprise, including investigation, adoption and exploitation of artificial intelligence.
  • Leads research, strategy creation and development of new data products or services to expand markets, monetize data (directly and indirectly) and impact enterprise profitability.
  • Oversees the development and deployment of the enterprise’s data and analytics platform and solutions for digital business.

Company Stage

N/A

Total Funding

N/A

Headquarters

San Antonio, Texas

Founded

1976

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • SWBC's Apple Pay integration enhances customer satisfaction and payment efficiency.
  • The BNPL partnership with equipifi boosts SWBC's digital banking competitiveness.
  • Kevin Graham's recruitment signals a strategic expansion in wealth management services.

What critics are saying

  • Increased fintech competition may impact SWBC's market share in financial services.
  • BNPL solutions could lead to heightened regulatory scrutiny for SWBC.
  • Relying on brand ambassadors like Micah Parsons poses potential reputational risks.

What makes SWBC unique

  • SWBC's integration with Apple Pay streamlines loan payments for financial institutions.
  • The partnership with equipifi offers a unique BNPL solution for debit cardholders.
  • SWBC's municipal bond underwriting expertise strengthens its position in public finance.

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