Decision Science Lead

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Regular or Temporary:

Regular

Language Fluency:
English (Required)

Work Shift:

1st shift (United States of America)

Please review the following job description:

Act as an individual contributor, providing project oversight and guidance to Decision Scientists, and supporting the Decision Science Manager in executing against the objectives of assigned business group. Using an interdisciplinary approach of leveraging concepts from business, applied statistics and math, operations research, information technology, process design and behavioral sciences, the incumbent will engage in consultative partnerships, aligning with the Line of Business (LOB) to produce analytic insights that help the business make informed, data-driven decisions with an objective of driving quantifiable, optimized business results in support of company goals.

Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.

Lead Business Data Architecture Strategy

* Define current-to-target state data architecture blueprints supporting CSBB business capabilities, aligning to enterprise standards and AI readiness objectives

* Establish domain-based data models, ownership structures, and cross-domain data flow designs to eliminate silos and improve interoperability

* Lead the development, maintenance, and socialization of target-state architecture blueprints, data domain models & ownership maps, cross-domain lineage / flow diagrams, architecture standards & design patterns

Drive Data Product Alignment & Rationalization

* Partner with Business Data Product teams to ensure consistent architecture alignment across data products and reporting assets

* Lead rationalization of legacy BI/reporting ecosystem, enabling consolidation and migration to scalable, modern platforms aligned to product strategy

Enable AI-Ready Data Foundations

* Define and enforce architectural standards that ensure data quality, lineage, certification, and governance are embedded in design-time workflows

* Support the development of AI-ready data assets and enable scalable analytics and automation capabilities across CSBB

Portfolio Alignment & Intake Governance

* Collaborate with portfolio strategy functions to ensure intake, prioritization, and solution design align with architectural principles and business value drivers

* Provide architectural oversight to ensure new initiatives align with long-term target state and do not introduce fragmentation

Stakeholder Partnership & Strategic Alignment

* Serve as a key interface between business stakeholders, enterprise architects, platform teams, and data delivery managers

* Influence senior leadership through clear articulation of architecture strategy, trade-offs, and value realization

Enable Federated Analytics & Cloud Migration

* Foster communication and partnership across multiple levels of the organization including engagement with LOB leaders and senior managers. Responsible for stewarding relationships, delivering on promises, and building trust with partners while delivering on LOB and company goals.

* Mentor, guide, and act as a force multiplier in support of analytics practitioners across CSBB in aligning data & reporting assets with broader enterprise data transformation objectives and target state architecture strategy, including cloud migration efforts

* Promote consistent data structures, access patterns, and governance practices to enable scalable and efficient delivery

Value Realization & Transformation Enablement

* Define and track success metrics (e.g., reduced redundancy, improved time-to-insight, adoption of standardized assets)

* Support change management, communication strategies, and adoption efforts for new data architecture and product capabilities

* Represent the CSBB Data & Governance group in various forums, work streams, and senior leadership reviews. Cultivate relationships with partner federated and hub analytics teams to drive efficient decision science delivery against shared objectives.

* Pursue business outcomes valued through increased revenue and/or efficiency leveraging data-driven insights powered by analytics in support of enhanced decision-making. Focus on continuous improvement in decision science delivery and outcomes in pursuit of business optimization.

Promote Best Practices & Continuous Improvement

* Champion…