Chief Data Analytics and AI Officer (7395)

Company: Septa
Location: Philadelphia
Posted on: November 11, 2024

Job Description:

Secure your FUTURE with SEPTA today!

The Southeastern Pennsylvania Transportation Authority (SEPTA) is the sixth largest transportation system in the United States, with a vast network of fixed route services including bus, subway/elevated, trackless trolley, light rail, and commuter rail serving a 2,200 square mile service region. SEPTA has become an integral force in the economic success of the Philadelphia region, providing an efficient and reliable source of transportation.

We are seeking candidates for the position of Chief Data Analytics and AI Officer (7395) in the I T - Administration.

Opening Date: 11/04/2024

Closing Date: 11/21/2024

Job Grade: SAM 45

Salary Range: Min: $166,426.00 - Mid: $208,026.00 - Max: $249,626.00

OVERALL DESCRIPTION

The Chief of Data Analytics and AI Officer develops and implements the company's data and analytics vision, collaborating closely with leadership and senior executives from both business and technology sectors. The focus is on fostering a data-driven culture throughout the organization where data is viewed as a strategic asset that generates business value. This position actively leads, defines, and deploys top-tier data science and advanced analytics capabilities in support of SEPTA's strategic plan, SEPTA Forward ensuring the design and development of supporting technologies aimed for scalability and reusability.

SPECIFIC RESPONSIBILITIES

• Develops and drives the vision for data, analytics, and Artificial Intelligence / Machine Learning within SEPTA. Serves as a thought partner for the business and enable the use of data as a strategic asset to unlock business ambitions and value.
• Defines enterprise roadmap for managing data as an asset and a utility, unified data formats, and strategy to continuously streamline data landscape with end users in mind.
• Leads advanced analytics, business intelligence (BI), and reporting efforts to enable data-driven business decision making and process automation.
• Collaborates with key business leaders to understand, prioritize, and deliver the data platforms and tools they need based on key use cases in digital, commercial, operations, people, and finance.
• Defines, manages, and advances enterprise information management principles, policies, and programs for stewardship, advocacy, and custodianship of data and analytics, in concert with legal, information security, and corporate risk and compliance offices.
• Builds strong relationships, credibility, and trust with key business stakeholders to ultimately strengthen the data team's credibility within the organization.
• Operates as a change agent to accelerate the journey of being a best-in-class data-driven organization.
• Acts as a steward of data literacy throughout the organization.
• Organizes and chairs a Data & Analytics Data Governance organization, ultimately helping to establish and manage the governance of data and algorithms used for analysis, analytical applications, and automated decision making.
• Defines and deploys data science and analytics best practices, including guidelines for tailoring analytics methodologies to specific business needs.
• Fosters the creation of a data-driven culture and related competencies and data literacy across the enterprise with a focus on promoting data self-service.
• Develops and maintains controls on data privacy, data residency, data quality, interoperability, and data sources to effectively manage the corporate risk associated with the use of data and analytics.
• Institutes processes and data governance to ensure data pulled from various sources meets quality standards, is curated, and enhanced for analytical use, driving towards a "single source of truth".
• Oversees development and management of data infrastructure (e.g., data lake) for improved data accessibility.
• Stays abreast of emerging technologies and practices including but not limited to AI, Machine Learning,
• Fosters a community of practice for all data, analytics and technology teams and colleagues across the enterprise as well as provide direct analytical support where needed.
• Leads, builds and develops a motivated bench of technical talent in the data engineering group that works closely with Platform development teams and leverages next gen practices (e.g., MLOps, Data Ops).
• Additional responsibilities as assigned.
  
  QUALIFICATIONS AND EXPERIENCE
  
  

• Master's degree in computer science, Engineering, Information Technology, or related field and 15+ experience in data with growing complexity and impact within data inclusive of data engineering, data governance, data science, AI/ML, and analytics
• Minimum 10+ Years of leadership with progressively increased responsibility leading large scale, complex, and matrixed organizations.
• Strong understanding of next gen data practices (e.g., MLOps, Data Ops, Data Science) that can be applied to specific retail use cases.
• Demonstrated track record of driving large-scale, cross-functional change programs and transformation initiatives through developing, articulating, and driving a strategy of where and how data & analytics can create value and improve business performance, with proven results.
• Analytics expert with experience in delivering data science initiatives, accelerating analytics-driven outcomes, and transforming data into business value,
• Fluent in data technologies such as data governance tooling, data platform technologies, information database management and enterprise architecture principles.
• Knowledge leading the ideation & design of campaigns across the analytics use cases and manages the Objectives and Key Results under an Agile methodologies for end-to-end delivery.
• Experience managing a large portfolio of programs/projects and associated ongoing prioritization and resource allocation to ensure that the crucial business initiatives are delivered.
• Proven experience leading large data organizations with a customer-first mindset, seeking to reimagine customer/ end-user experience.
• Experience building a culture around data sharing, governance and hygiene while bringing expertise and sensitivity to data security, risk, and compliance.
• Experience leading a team of database administrators, data, and integration architects to ensure high availability of data and the underlying infrastructure.
• Experience in establishing a secure integration architecture framework in cloud, on-premises, and hybrid environment.
• Demonstrated experience of various technology frameworks (i.e. ITIL, DevOps, NIST-CSF).
• Expertise with cloud, Advanced Analytics, and Business Intelligence Software. BENEFITS
  
  SEPTA offers a comprehensive benefits and retirement program:
  • Medical - Minimal annual premium contribution
    Benefit plans with No Employee annual premium contribution:
    • Prescription
      
    • Dental
      
      • Vision
        Additional benefits we offer:
        • Defined Benefit Pension Plan
          
          • Voluntary Governmental 457B Deferred Comp Plan, with available Financial Advice and Planning Services
            
            • Life Insurance
              
            • Paid Parental Leave
              
            • Tuition Reimbursement
              
            • SEPTA Transportation Pass - FREE travel on all SEPTA modes of transportation
              
              • SEPTA employees qualify for the Public Service Loan Forgiveness (PSLF) program
                
              • Generous Vacation Allowance
                
              • Dependent Care Flexible Spending Account
                
                
                SEPTA is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
                
                Nearest Major Market: Philadelphia

Keywords: Septa, Philadelphia , Chief Data Analytics and AI Officer (7395), Executive , Philadelphia, Pennsylvania