Sr. Manager- Data Analysis Job at Capital One (Plano)

Sr Business Analysis Manager - Data Driven Strategy & Storytelling

This role transforms complex business data into actionable insights, strategic r...

Location

United States , New York; Bellevue; Overland Park

Salary:

96700.00 - 174400.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's Degree plus 7 years of related work experience OR Advanced degree with 5 years of related experience
Acceptable areas of study include Data analysis, data science, decision science, similar quantitative fields or equivalent practical experience
7-10 years Analytics experience solving analytical problems using quantitative approaches
Reporting & analyzing performance & data visualization (Tableau, Power BI, etc.)
Advanced analytics, which includes SQL analysis of complex datasets, competitive analysis, quantitative analysis & research
Experience with Python, R, Go or similar statistics or data science language preferred
Telecommunications
At least 18 years of age
Legally authorized to work in the United States
Strategic Thinking & Business Acumen

Job Responsibility

Provide insights and recommendations that optimize experiences by collaborating with cross-functional teams across the organization
Develop and maintain data and reporting solutions including reports, dashboards, and self-service tools to support enterprise objectives
Apply analytical and modeling techniques to enhance decision-making and prioritize resources across various business options
Create and deliver executive-level presentations that clearly communicate complex analytical findings to influence leadership decisions
Also responsible for other duties/projects as assigned by business management as needed

What we offer

Competitive base salary
Annual stock grant
Employee stock purchase plan
401(k)
Free year-round money coaches
Medical, dental and vision insurance
Flexible spending account
Paid time off
Up to 12 paid holidays
Paid parental and family leave

Fulltime

Sr. Technical Data Product Owner (Sr. Business Data Analyst)

We are looking for a Sr. Technical Data Product Owner (Sr. Business Data Analyst...

Location

United States , Richmond

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

5 to 7 years of experience in business analysis, product ownership, or a related role within data, business intelligence, or data engineering environments
Demonstrated involvement in data migration initiatives, including work related to mapping, integration, or delivery coordination
Strong ability to gather requirements, identify gaps, and translate business requests into clear documentation and actionable plans
Working knowledge of data modeling, ETL processes, and data warehousing concepts
Experience validating datasets and analyzing outputs, with familiarity using BI tools such as Power BI for review purposes
Proven success managing stakeholders and collaborating with business partners, data engineers, and BI teams in fast-paced settings
Strong organizational skills, attention to detail, and comfort working within Agile delivery frameworks

Job Responsibility

Partner with stakeholders to capture business objectives, clarify data needs, and turn those inputs into thorough functional documentation
Lead data-focused project activities by coordinating requirements, source-to-target mapping, and planning for migration and integration efforts
Serve as the key connection point between business teams and Data/BI engineering resources to keep scope, priorities, and expectations aligned
Oversee delivery progress across multiple data workstreams, ensuring milestones are met and outcomes reflect agreed business goals
Review data results and perform analysis to confirm accuracy, completeness, and consistency with stakeholder expectations
Create process mockups or early solution concepts that help teams evaluate requirements and refine the proposed approach
Support testing, validation, and quality checks for data products to improve confidence in delivered solutions
Guide business users through handoffs, knowledge transfer, and adoption activities so new data capabilities are understood and used effectively
Build strong working relationships across teams and establish effective communication paths that support timely decisions and issue resolution

What we offer

medical, vision, dental, and life and disability insurance
enrollment in company 401(k) plan

Supply Chain Sr Manager - Data Governance, Stewardship & PMD

Join Amgen’s Mission of Serving Patients. At Amgen, if you feel like you’re part...

Location

United States , Charlotte

Salary:

134061.15 - 181376.85 USD / Year

Amgen

Expiration Date

Until further notice

Requirements

High school diploma / GED and 12 years of Supply Chain, Operations, Data Management, Manufacturing, Business Process, or related experience OR Associate’s degree and 10 years of Supply Chain, Operations, Data Management, Manufacturing, Business Process, or related experience OR Bachelor’s degree and 6 years of Supply Chain, Operations, Data Management, Manufacturing, Business Process, or related experience OR Master’s degree and 4 years of Supply Chain, Operations, Data Management, Manufacturing, Business Process, or related experience OR Doctorate degree and 2 years of Supply Chain, Operations, Data Management, Manufacturing, Business Process, or related experience

Job Responsibility

Lead data stewardship activities across Operations, ensuring timely, accurate, and compliant execution
Serve as the primary business lead for Production Master Data, including oversight of data standards, data quality, issue resolution, and lifecycle management
Establish and maintain data governance practices, controls, and documentation to support operational readiness and business continuity
Partner with business and technical teams to define data ownership, accountability, validation rules, and escalation pathways
Ensure adherence to applicable policies, procedures, regulatory expectations, and internal controls related to master data management
Oversee and coordinate data load activities supporting operational processes across the Plan-to-Stock stream of work
Lead planning, readiness, validation, defect resolution, and post-load support for data migration, transformation, and ongoing maintenance activities
Collaborate with IT, business process owners, and functional SMEs to ensure data load requirements are understood, tested, and successfully executed
Monitor data load performance, identify risks or gaps, and drive timely corrective actions
Act as the functional lead for Production Master Data across supply chain and operations processes

What we offer

Health and welfare plans
Financial plans with opportunities to save towards retirement or other goals
Work/life balance
Career development opportunities
Retirement and Savings Plan with generous company contributions
Group medical, dental and vision coverage
Life and disability insurance
Flexible spending accounts
Discretionary annual bonus program
Stock-based long-term incentives

Fulltime

Sr. Manager, Data Science

As a Data Science Manager, you will lead the organization’s data science and AI ...

Location

United States , San Diego

Salary:

162000.00 - 242000.00 USD / Year

ResMed

Expiration Date

Until further notice

Requirements

8+ years of industry experience in Data Science, Machine Learning Engineering, or related fields
Master’s or PhD in Data Science, Machine Learning, Computer Science, Operations Research, Applied Statistics, Biomedical Informatics, or closely related disciplines
Proven experience managing and leading data science or AI teams, including mentoring junior members and developing team processes
Experience in productionization of AI models and collaboration with engineering for deployment and support
Excellent communication and stakeholder management skills
Proven ability to work across cross-functional teams and drive consensus on technical strategies and business priorities
Demonstrated expertise in model development, deployment, and performance evaluation for production-grade AI solutions
Strong foundation in probability, statistics, computer science, time series analysis, linear algebra, and discrete math
Extensive, practical experience applying advanced AI and machine learning methods—such as NLP, time-series analysis, computer vision, recommender systems, and reinforcement learning—using common algorithms, with a strong understanding of their real-world trade-offs in production settings
Extensive experience building and managing ETL pipelines and data workflows to handle large, complex structured and unstructured datasets, enabling their effective use in AI algorithm development

Job Responsibility

Stakeholder Engagement: Build strong partnerships with AI Product stakeholders, Product Management, Engineering, and business teams to identify business challenges, opportunities, and define requirements for AI solutions
AI Model Development Roadmap: Lead and continually refine the AI model development roadmap, ensuring alignment between technical strategy, business goals, and emerging opportunities
Risk Mitigation: Proactively identify and address AI-related risks, maintaining robust standards for model governance, compliance, and ethical deployment of AI solutions
Model Development Enablement: Anticipate and overcome challenges in data science projects by bridging gaps in technology, data, platforms, or skillsets to ensure teams have the resources and support needed for timely product delivery
Standardization of Experimentation: Establish and implement standardized processes for experimentation, including documentation, validation, and performance evaluation to ensure consistent, reproducible results
Technical Review and Guidance: Participate in code and model reviews, providing technical guidance to ensure model robustness and quality while identifying areas for improvement
Collaboration with Engineering: Partner with engineering teams to ensure smooth integration, scalability, and monitoring of AI models in production environments
Opportunity Analysis: Help stakeholders pinpoint key problem areas where AI solutions can deliver measurable impact, leveraging organizational data and advanced analytics
Team Leadership and Development: Mentor and empower a team of data scientists, fostering innovation and aligning technical skills with long-term AI strategy for impactful model delivery
Continuous Technical Strategization: Monitor industry and academic breakthroughs in AI to proactively set and evolve the technical roadmap, ensuring the team is prepared to deliver state-of-the-art solutions

What we offer

comprehensive medical, vision, dental, and life, AD&D, short-term and long-term disability insurance, sleep care management, Health Savings Account (HSA), Flexible Spending Account (FSA), commuter benefits, 401(k), Employee Stock Purchase Plan (ESPP), Employee Assistance Program (EAP), tuition assistance, Flexible Time Off (FTO), 11 paid holidays plus 3 floating days, eligible for 14 weeks of primary caregiver or two weeks of secondary caregiver leave

Fulltime

Sr. Director, Data Analysis

As Capital One continues to mature its Business Intelligence and Analytical capa...

Location

United States , Plano

Salary:

245100.00 - 279800.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Currently has, or is in the process of obtaining a Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 10 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 8 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date
At least 8 years of experience performing professional data analysis work
At least 8 years of experience leading and developing with open source data technologies
At least 6 years of experience managing people

Job Responsibility

Leading the Analyst team
Driving data source and tool innovations based on stakeholder data needs, including adoption of Big Data technologies and development of a program to train and enhance associate skill-sets
Creating leading-edge data products that uncover opportunities for improvement
Leading governance of our data assets, including development of a governance plan and structure
Providing strategic leadership on large cross-functional horizontal initiatives
Reporting on data analysis activities to partner groups, incorporating novel reporting and data visualization techniques
Partnering with diverse stakeholders (from Analysts to Executives)
Actively championing the usage and adoption of data tools and solutions across the Data Analyst community
Working in an agile fashion, managing the stakeholder set and capacity for the team
Partner with various engineering and enterprise functions in adopting and informing data flow standards across ingestion, transformation, access and publishing

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Comprehensive, competitive, and inclusive set of health, financial and other benefits

Fulltime

Sr. Business Analysis Manager - Technical Lead

Media Data and Insights (MDI) is T-Mobile's data and AI team for paid media and ...

Location

United States , Bellevue

Salary:

96700.00 - 174400.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's degree plus plus 7 years of related work experience OR Advanced degree with 5 years of related experience is required. Acceptable areas of study include Data analysis, data science, decision science, similar quantitative fields or equivalent practical experience
7-10 years Building and maintaining production data pipelines and gold/semantic layers in modern cloud data environments
7-10 years Hands-on experience with Python and SQL for data pipeline and transformation work
7-10 years Working with big data and clickstream data at enterprise scale
4–6 years Experience with Databricks, dbt, or equivalent modern transformation and orchestration tooling
4–6 years Designing data quality, testing, and validation frameworks
4–6 years Experience setting technical standards and mentoring team members in a senior role
Deep technical expertise in modern data infrastructure practices, including pipeline design, orchestration, automation, and reliability
Strong opinions on data quality, testing, and technical rigor — has built systems that don't need constant babysitting
Big data and clickstream experience at enterprise scale

Job Responsibility

Own the gold layer architecture across all paid media and search performance data
Set design standards, naming conventions, and patterns that scale across the team and align with peer teams
Define how the team builds, validates, and ships data products
Build and maintain reliable, automated pipelines in Databricks that don't require constant manual intervention
Establish monitoring, alerting, and SLAs that make our data the source of truth leadership depends on
Partner closely with Engineering on enterprise clickstream tables — pageview, visit, and user-level — defining MDI's requirements, validating outputs, and ensuring data quality so the team can analyze web behavior and media impact at scale
Establish testing, validation, and anomaly detection standards so our data is trusted across the organization
Lead QA against ingestion pipelines, data sources, and platform UIs
Partner with peer analytics teams to align on shared conventions and standards, ensuring consistency between macro-level analytics and diagnostic reporting
Provide guidance and uplift the technical capabilities of the broader team

What we offer

Competitive base salary and compensation package
Annual stock grant
Employee stock purchase plan
401(k)
Free, year-round money coaches
Medical, dental and vision insurance
Flexible spending account
Paid time off and up to 12 paid holidays
Paid parental and family leave
Family building benefits

Fulltime

Sr. Risk Manager, Data Protection

This position represents a unique opportunity for those with hands-on cybersecur...

Location

United States , Richmond, Virginia; New York, New York; Plano, Texas; McLean, Virginia

Salary:

209000.00 - 286200.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor’s degree or military experience
At least 5 years of experience in cybersecurity or enterprise data management
At least 3 years of hands-on experience with data protection, technology such as encryption, tokenization, labeling or cryptography
At least 2 years of audit, risk management, program management or technology leadership experience

Job Responsibility

Play a lead role in identifying areas of cyber risk to provide oversight, analysis, effective challenge, and risk-informed recommendations for enhancement
Provide technical assessments of cybersecurity and controls design and effectiveness
Draft assessments for senior management and other stakeholders, to include regulatory agencies and the Board of Directors, as needed
Stay current on emerging cyber threats and potential implications to the firm
Collaborate effectively with colleagues, stakeholders, and leaders across multiple organizations to achieve objectives
Coordinate program-related activities and deliverables to ensure effective collaboration within the team and across stakeholder groups

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits

Fulltime

Sr. Business Analysis Manager, Network Product Marketing

This role owns the measurement spine that connects marketing programs, product e...

Location

United States , Bellevue; Overland Park

Salary:

96700.00 - 174400.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's Degree plus 7 years of related work experience OR Advanced degree with 5 years of related experience (Required)
7-10 years of Analytics experience solving analytical problems using quantitative approaches (Required)
7-10 years of Reporting & analyzing performance & data visualization (Tableau, Power BI, etc.) (Required)
7-10 years of experience in advanced analytics, which includes SQL analysis of complex datasets, competitive analysis, quantitative analysis & research (Required)
Communication: Ability to manage relationships, influence and communicate complicated analysis, logic, and solutions in a clear and concise manner at the executive level and provide decision support, analysis and recommendations that help to drive effective execution of initiatives (Required)
Data Analysis: Exceptional at using wide ranging datasets to deliver broad analysis and insights to maximize value creation and return on investment (Required)
Problem Solving skills (Required)
Financial Modelling experience (Required)
At least 18 years of age
Legally authorized to work in the United States

Job Responsibility

Provide insights and recommendations that optimize experiences by collaborating with cross-functional teams across the organization, including serving as a direct analytical partner to PMMs on the team in support of their product and program strategies, opportunity sizing, and business case modeling
Develop and maintain data and reporting solutions including reports, dashboards, and self-service tools to support enterprise objectives
Apply analytical and modeling techniques to enhance decision-making and prioritize resources across various business options
Create and deliver executive-level presentations that clearly communicate complex analytical findings to influence leadership decisions
Ensure alignment of Network Product Marketing measurement, and integration, with enterprise reporting, including Finance

What we offer

competitive base salary and compensation package
annual stock grant
employee stock purchase plan
401(k)
access to free, year-round money coaches
medical, dental and vision insurance
flexible spending account
paid time off and up to 12 paid holidays
paid parental and family leave
family building benefits

Fulltime

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Sr. Manager- Data Analysis

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

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