Head of Data Management

4 weeks ago

Columbia, United States Atlantic Partners Corporation Full time

Position Summary


The Head of Data Modernization and Artificial Intelligence (AI) will play a pivotal role in shaping company's future by leveraging robust data and advanced AI. Reporting to the Chief Information Officer, this leader will oversee the strategy and enterprise data efforts, to ensure effective data-driven decision-making through the design, governance, and oversight of data functions.


With a proven track record in large-scale data management within complex financial environments and expertise in AI technologies, the Head of Data Modernization and AI will develop strategies to optimize data quality, protection, and privacy. This role involves close collaboration with leaders across departments to enhance data governance practices to ensure reliable data for business decisions.


The Head of Data Modernization and AI will oversee company's Data Warehouse Strategy, Governance Quality, and Control functions, build a team of data practitioners, and foster a culture of data sharing. This leader will create a strategic vision for new data and AI products, ensure data supports policy activities, define future data needs, and keep Bank Executives informed on data reform and innovations.

Core Responsibilities


  • Develop the organizational data and AI strategy and create a roadmap for data analytics and use cases.
  • Establish a data and AI governance framework to manage data quality, consistency, availability, and usage across the organization.
  • Lead innovation from a data perspective, focusing on digital assets and advancing data management and business analytics capabilities.
  • Collaborate with business strategy and operational leaders to identify technologies, optimize data integration, storage, and retrieval processes, including eliminating redundant and non-value-added data systems.
  • Partner with the technology team to support IT data management activities, ensuring alignment with bank-wide data processes and policies.
  • Work with subject matter experts to develop data quality measures and practices to enhance the Bank's data and protect sensitive information.
  • Develop and oversee the implementation of bank-side data management strategies, including setting short- and long-term goals and objectives,
  • Ensure effective operating controls are in place to assure compliance.
  • Stay up to date on data strategy best practices, technology, products, and services to maintain the Bank's competitive edge.
  • Communicate the value of data as a critical asset to executives and business units within the Bank.
  • Collaborate with Human Resources to set performance standards, manage workflow, evaluate performance, and recommend actions.
  • Develop and manage the departmental budget.
  • Lead the team responsible for data and AI platforms and capabilities for the company district.


Education/Certifications


  • Bachelor's Degree required in Computer Science, Business Information Systems, or related field; Master's Degree preferred.
  • Appropriate certifications in Data Management (e.g., Certified Data Professional and Artificial Intelligence) are encouraged, not required.


Knowledge and Work Experience


  • Industry Experience: Minimum 15 years relevant experience within the banking/financial services industry with advanced business knowledge and leadership capability to lead enterprise data and technology teams. Broad practical experience across multiple professional disciplines, combining theory, practical experience, and organizational business practices.
  • Data Strategy and Execution: Expertise in driving business outcomes by identifying and operationalizing data, building, articulating, and delivering business cases around data use or data-centric business strategy.
  • Technical Skills: Experience with strategic data architecture, information systems, and visualization techniques.
  • Innovation and Problem-Solving: Creative thinker and problem solver with a focus on leveraging data to improve business processes, and automate, and integrate critical workflows using big data analytics and predictive intelligence.
  • Stakeholder Collaboration: Proven ability to collaborate with stakeholders to define business and systems requirements for data asset utilization; strong skills in navigating partnerships and managing multiple client work streams.
  • Strategic Planning: Ability to develop a multi-year roadmap and achieve specific objectives within plan.
  • Thought Leadership: Recognized as a thought leader with strong technical expertise and familiarity with the latest data management practices.
  • Interpersonal Skills: Excellent interpersonal and influencing skills to drive change management initiatives throughout the organization.
  • Analytical and Strategical Skills: Strong analytical, strategic, project management, decision-making, and problem-solving.
  • Leadership and Motivation: Skilled at motivating individuals, teams, and the organization to perform at higher levels and embrace change; communicates a compelling vision, inspires innovation solutions, builds high-performing teams, and understands motivational drivers.
  • Organizational Skills: Excellent organizational, management, administration, and interpersonal skills.
  • Communication Skills: Excellent verbal, written, and presentation skills, with the ability to communicate effectively with both technical and non-technical audiences.
  • Mission Alignment: Understanding and commitment to company mission and core values.

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