T Mobile Strategy Analytics Manager Jobs (NOW HIRING)

JOB RESPONSIBILITIES

Decision Intelligence & Next Best Action Strategy

• Own the strategy, design, and continuous improvement of next best action (NBA) and next best offer (NBO) frameworks for existing and former consumer and small business customers.

• Build and manage decisioning logic and prioritization models that balance customer needs with businessobjectivesacross all product lines including deposits, lending, wealth, treasury management, and merchant services.

• Identify and operationalize data-drivenmoments that matter- leveraging behavioral signals, life events, transactional triggers, and engagement patterns to ensure the right message is communicated to the right customer at the right time through the right channel, capitalizing on the highest-value opportunities to drive meaningful engagement and action.

• Develop andmaintainalways-on audience segmentation strategies thatidentifythe right customers for the right marketing or sales action at the right time.

• Leverage existing and former customer data environments to surface high-value opportunities for cross-sell, reacquisition, engagement deepening, and retention.

Audience Creation & Channel Activation

• Own the end-to-end process of building, managing, and delivering targeted customer audiences for activation across all marketing and sales channels including direct mail, email, targeted digital advertising, and outbound calling.

• Manage data pipelines and workflowsrequiredto extract, transform, and deliver audience files and segments to channel execution partners and platforms ina timelyandaccuratemanner.

• Ensure audiences are refreshed andmaintainedon an always-on cadence to support continuous marketing and sales motions rather than solely episodic campaign activity.

• Partner with channel owners and marketing operations to ensure seamless audience ingestion, suppression logic, and contact frequency governance.

Technology & Data Pipeline Management

• Own and manage the technology stack and data infrastructure supporting decision intelligence and audience activation, including cloud data environments (preferably Snowflake), CRM platforms, and marketing activation tools.

• Build,maintain, andoptimizescalable data pipelines that support audience creation, model scoring, and channel delivery.

• Partner with data engineering and technology teams to ensure data quality, pipeline reliability, and scalability of the decisioning and activation environment.

• Evaluate and recommend enhancements to the technology ecosystem to improve decisioning speed, accuracy, and channel reach.

Product & Segment Scope

• Apply decision intelligence capabilities across the full breadth of Flagstar's consumer and small business product portfolio including:

• Consumer Deposits:Checking, savings, money market, and time deposits.

• Consumer Lending:Mortgage, HELOC, credit card, and personal loans.

• Small Business:Deposit accounts, business loans, treasury management, and merchant services.

• Wealth Services:Financial consultant referrals and wealth product engagement.

• Ensure decisioning frameworks account for the unique needs, behaviors, and lifecycle stages of both consumer and small business customer segments.

KPIs, Measurement & Reporting

• Collaborate with marketing, analytics, and business line partners to define the KPIs and success metrics used to measure the effectiveness of decision intelligence and always-on marketing programs.

• Direct the creation of performance dashboards, reporting, and analytics that provide visibility into cross-sell rates, reacquisition rates, retention outcomes, engagement depth, and channel performance.

• Monitor program performance continuously and use insights to refine decisioning logic, audience strategies, and channel mix.

• Communicate results, insights, and recommendations clearly to senior marketing and business stakeholders.

ADDITIONALACCOUNTABILITIES

• Performs special projects, andadditionalduties and responsibilities asrequired.

• Consistently adheres to regulatory and compliance policies and standards linked to the job as listed and completes required compliancetrainings. Accountable tomaintaincompliance with applicable federal, state, and local laws and regulations.

• Maybe responsible fortalent management functionsincluding:employment, performance evaluations, staff development/training, disciplinary actions, succession planning and ensuring all staffcomply withcompliance requirements.

JOB REQUIREMENTS

Required Qualifications:

• Undergraduate Degree (4 years or equivalent) in Marketing, Statistics, Data Science, Computer Science, Business, ora relatedfield.

• Minimum experiencerequired:8+ years of hands-on experience in marketing analytics, decision intelligence, customer data management, or related roles within financial services or a similarly complex consumer-facing industry.

• Demonstrated experience building and managing next best action, propensity modeling, or customer decisioning frameworks at scale.

• Experience with CRM platforms (e.g., Salesforce, Microsoft Dynamics, or equivalent) and understanding of how CRM data supports marketing and sales activation.

• Strong hands-on experience with SQL for data querying, audience construction, and pipeline development.

• Experience with cloud data platforms, preferablySnowflake.

• Proven ability to manage data pipelines and audience delivery workflows supporting multi-channel marketing activation.

• Experience working across multiple marketing channels including direct mail, email, targeted digital, and outbound calling.

• Solid understanding of consumer and/or small business banking products and customer lifecycle dynamics.

• Proven ability to lead cross-functional workstreams and manage projects independently.

Preferred Qualifications:

• Experience with Python or R for data manipulation, model scoring, or automation.

• Familiarity with marketing automation and campaign management platforms (e.g., Salesforce Marketing Cloud, Microsoft Customer Insights, or equivalent).

• Experience with BI and data visualization tools such as Power BI, Tableau, or similar.

• Knowledge of machine learning concepts and experience operationalizing propensity or recommendation models in a marketing context.

• Experience with identity resolution, customer data platforms (CDPs), or data clean room environments.

• Prior experience in a bank, credit union, or financial services marketing environment.

Job Competencies:

• Strong communicationand presentation skills with the ability to translate complex analytical concepts for non-technical marketing and business stakeholders.

• Excellent stakeholder management skills with experience working across marketing, technology, data engineering, and business line teams.

• Advanced knowledge of data environments, data governance, and data quality best practices.

• Advanced technical and analytical skills with a strong bias toward actionable, outcome-driven analysis.

• Strong strategic planning skills with the ability to connect data capabilities to business growthobjectives.

• Highly organized and detail-oriented with the ability to manage multiple priorities and deadlines simultaneously.

• Collaborative mindset witha strong senseof ownership and accountability for outcomes.

• Demonstrates a strong ability to build andmaintaineffective relationships with stakeholders by communicating clearly, engaging in proactive collaboration, andleveragingcross-functional insights. Aligns relationship building efforts with enterprise goals to accelerate performance and drive strategic results.

• Buildstrusted client relationships, whether internal or external, byidentifyingneeds and delivering tailored solutions to enhance the overall client experience.

• Fosters orsupportsa positive work culture and productive work environment, displayingimportanceof effective relationships with customers and stakeholders.

• Physical demands (ADA): No unusual physical exertion is involved.