Enterprise Data Product Operations Lead

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits.

We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.

Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

INTRODUCTION:

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.

ROLE/

The AMI organization is in search of a motivated and innovative Senior Operations Analyst/Consultant to join our efforts in driving Enterprise Analytics Transformation . This role will be responsible for establishing and maintaining a robust operating model to advance our capabilities, modernize our engagement practices, and enable governed Enterprise data product development, certification, and publishing. This operating model will cover the necessary processes, standards, infrastructure & tools (technology), organizational design, and governance needed to drive responsible data product access, consumption, and management. In addition, this role will be responsible for owning application and tools health practices and quality and control measures needed to ensure stability, reliability, and performance.

This role will serve as a key influencer and decision-maker, partnering with executive stakeholders to align governance, risk, and operational strategies with enterprise objectives.

RESPONSIBILITIES:

As a Senior Operations Analyst/Consultant for the Enterprise Analytics Transformation program, this role will establish, implement, and own the operational tasks necessary to maintain a sustainable operating model, apply tools monitoring practices, and ensure standard quality and controls. They will be responsible for:

OPERATING MODEL DESIGN

• Scalable model : Designing and delivering a scalable operating model for managing AMI’s core tools and platforms, including but not limited to Starburst
• Strategic influence: Providing thought leadership to drive strategic objectives and influence a more effective model for data product development and consumption

APPLICATION & TOOLS HEALTH

• Product ownership: Being responsible for maintaining applications and tools in compliance with external regulation and Bank internal mandates, including but not limited to access control and entitlements
• Product compliance: Risk, security, and compliance requirements are completed on time for supported applications
• Health checks: Monitoring and maintaining infrastructure health and performance, including vulnerability remediation, software upgrades and other enhancements
• Partner engagement: Managing and coordinating activities with service providers and partners to ensure environmental stability, compliance, and SLA adherence
  

QUALITY & CONTROLS

• Control environment: Overseeing risk/control design, implementing access controls, and establishing QA practices
• Monitoring and testing: Performing control testing, quality inspections, case execution, and results reporting
• Issue remediation and improvement: Owning issue identification, remediation, thematic trends, test-script updates, coaching, automation, and AI opportunities
• Audit and governance support: Assisting with regulatory exams, audits, evidence, metrics, and necessary report-outs
• Risk & security compliance: Track and support development team security and risk activities, including but not limited to application risk assessments

REQUIRED SKILLS:

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

DESIRED SKILLS:

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

Shift:

1st shift (United States of America)

Hours Per Week: 

40