Enterprise Data Product Operations Lead

Bank of America•Charlotte, NC

1d•Onsite

About The Position

The Analytics, Modeling & Insights (AMI) organization is helping shape the future of the Enterprise by transforming trusted data and objective insights into bold ideas, meaningful action, and measurable impact. Through strategic transformation, thoughtful experimentation, and next-level innovation, we are building the capabilities that will power what’s next. Our vision is to power the Bank’s responsible growth with insight, foresight and clarity by demonstrating core principles that drive who we are and what we do: Objective: Maintain an unbiased lens to inform sound and smart decisions grounded in data. Innovative: Embrace emerging technologies and methods to continuously amplify our capabilities. Strategic: Apply enterprise-wide data and deep expertise to anticipate needs and guide sustainable, long-term decisions. Collaborative: Partner across disciplines to deliver insights aligned with stakeholder needs. Effective Storytelling: Translate complex data into clear, compelling narratives that drive action. Efficient: Optimize tools and processes for timely, consistent, scalable impact. Through the Enterprise Analytics Transformation program, AMI is establishing a governed enterprise data product operating model that delivers trusted, reusable, and semantically consistent data to accelerate analytics, business intelligence, and AI across the organization. By aligning common standards for data products and context layer (and semantics) with unified data access, platform capabilities, and AI-enabled tools, this program will accelerate innovation, improve the speed and confidence of insights, simplify the data ecosystem, and reduce redundant data assets and legacy data marts. Together, these capabilities will strengthen risk management, fuel Responsible Growth, and enhance our competitive position.

Requirements

Innovative, forward-looking thinker with process-redesign experience who constructively challenges the status quo.
Leads through influence and translates complex technical topics into clear, executive-ready narratives.
Self-directed, organized, results-oriented, and attentive to documentation and detail.
Knowledge of industry regulations (e.g., GDPR, HIPAA, SOX, PCI-DSS) and ability to ensure applications meet these standards.
Demonstrated experience identifying and mitigating compliance risks related to data privacy, security, and operational processes; familiarity with vulnerability management, and remediation techniques.
Ability to translate technical requirements into business language for non-technical stakeholders; understanding of application architecture and integration points.
Ability to align application functionality with organizational goals and compliance requirements.
Experience maintaining application inventory, lifecycle documentation, version control, and compliance records.

Nice To Haves

Experience supporting technical, data, analytics, modeling, or data-platform teams and translating complex concepts for non-subject-matter-expert audiences.
Experience with data and data platforms, including familiarity with cloud computing, machine learning, statistics, data science, BI, or AI-enabled capabilities.
Demonstrated understanding of relational and non-relational database concepts, including data modeling, query optimization, and secure data management.
Adequate PowerPoint and Microsoft Office skills, with the ability to create clear executive-ready materials and messaging.
Familiarity with risk frameworks, Single Process Inventory (SPI), and IT governance models; ability to prepare documentation and evidence for internal/external audit review.

Responsibilities

Establish, implement, and own the operational tasks necessary to maintain a sustainable operating model, apply tools monitoring practices, and ensure standard quality and controls.
Design and deliver a scalable operating model for managing AMI’s core tools and platforms, including but not limited to Starburst.
Provide thought leadership to drive strategic objectives and influence a more effective model for data product development and consumption.
Maintain applications and tools in compliance with external regulation and Bank internal mandates, including but not limited to access control and entitlements.
Ensure risk, security, and compliance requirements are completed on time for supported applications.
Monitor and maintain infrastructure health and performance, including vulnerability remediation, software upgrades and other enhancements.
Manage and coordinate activities with service providers and partners to ensure environmental stability, compliance, and SLA adherence.
Oversee risk/control design, implement access controls, and establish QA practices.
Perform control testing, quality inspections, case execution, and results reporting.
Own issue identification, remediation, thematic trends, test-script updates, coaching, automation, and AI opportunities.
Assist with regulatory exams, audits, evidence, metrics, and necessary report-outs.
Track and support development team security and risk activities, including but not limited to application risk assessments.