Data Engineering Manager, Analytics (Central Products) Job at Meta (Menlo Park)

Product Manager, Central Products

Meta Product Managers work with cross-functional teams of engineers, designers, ...

Location

United States , Menlo Park

Salary:

205000.00 - 277000.00 USD / Year

Staff Program Manager - Central Engineering Operations

Fivetran is building data pipelines to power the modern data stack for thousands...

Location

Serbia , Novi Sad

Salary:

Not provided

Fivetran

Expiration Date

Until further notice

Requirements

6+ years of experience in technical/operations management in the technology/software development industry with technical expertise that enables you to define automation requirements, automate operational workflows, and perform data analysis using query languages and AI
Ability to work directly with senior leadership on programs, including leading R&D-wide (engineering, product, design, security) initiatives from start to finish
Proven experience in optimizing operations on an Engineering and R&D scale, creating actionable plans, and managing execution to enhance operational effectiveness, efficiency, and scalability across multiple engineering teams and departments, and adhering to various compliance requirements
You can facilitate discussions with engineering subject matter experts on topics such as System Design, Data Architecture, Infrastructure Management (including cost management), Quality, etc., in the context of engineering operations
Ability to leverage AI to increase your own productivity and leverage it in the solutions you’re building
Excellent verbal and written communication and presentation skills with the ability to interact and collaborate with technical and non-technical groups at all levels
A data-driven and action-oriented mindset with excellent planning, analytical, problem-solving, project/program management, organizational, and leadership skills

Job Responsibility

Ensure operations and strategy execution work seamlessly and effectively, and streamline engineering and R&D processes to be simple, value-oriented, and scalable
Lead and manage engineering and R&D process enhancements to set up or improve engineering and cross-departmental processes, and be responsible for transitioning them to operational state (all in coordination with key stakeholders), resulting in documented, repeatable, and measurable processes. This includes end-to-end work from problem definition and data analysis through solution proposal, alignment with R&D leadership, and execution and adoption of the changes
Partner with engineering group leaders to improve planning, execution, and operational health within their organizations, with a particular focus on increasing the efficiency, stability, and effectiveness in the delivery of their strategic objectives
Support engineering leadership in quarterly planning, tracking OKRs, and driving execution against strategic priorities in consistent alignment with engineering-wide and R&D policies and practices
Provide technical leadership and guidance to the team of operations managers to manage engineering initiatives, solve problems, and optimize and automate routine operations, increasing the team's and engineering's value-added time
Work closely with senior engineers and leadership teams to ensure strict adherence to operational processes. Conduct audits and check-ins to identify areas for improvement and ensure continuous process refinement
Collaborate with operations managers and cross-functional partners to improve execution, automate workflows, and increase operational efficiency, and also directly contribute to the improvement and support of our internal knowledge management process and information structure in collaboration with other Ops and PMO teams
Manage R&D-wide initiatives. Coordinate and oversee the preparation, planning, and delivery of engineering updates, events, and R&D-wide initiatives, ensuring alignment with corporate goals
Drive operational excellence across R&D: spearhead and champion global operational strategies, focusing on optimizing engineering processes to be more efficient, scalable, and aligned with the company’s long-term vision

What we offer

100% employer-paid medical insurance*
Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays, and volunteer days off
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents

Fulltime

Manager, Data Product Manager - Travel Core Service

The Travel team is at a pivotal moment in our growth journey. We're building the...

Location

United States , McLean; Richmond; New York

Salary:

149800.00 - 205100.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

At least 3 years of experience working in Product Management
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field)
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration

Job Responsibility

Lead the data product strategy, design, delivery, and consumer convergence of for 1-2 key Travel produced data domains
Lead 2 tech teams to deliver data pipelines and standardized data assets to power human and AI enabled consumer use cases across the Travel business
Take an outcome based approach to shaping the data platform roadmap, informed by a “customer first” understanding of data consumption use cases
Support risk sloped delivery of major data centralization effort to set the business up for future growth
Support data governance and well managed agenda through existing or new capabilities (e.g. data quality tooling) and constructs (e.g. governance models)
Demonstrate proficiency in five key areas: Human Centered, Business Focused, Technology Driven, Integrated Problem Solving, Transformational Leadership

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 that support your total well-being

Fulltime

New

Senior Manager, Data Analysis - Network Platforms and Product Operations

At Capital One, data is at the center of everything we do. When we launched as a...

Location

United States , New York; Chicago; Richmond; McLean

Salary:

182500.00 - 249900.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Has Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 7 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 5 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date
At least 5 years of experience performing professional data analysis work
At least 5 years of experience leading and developing with open source data technologies
At least 2 years of experience managing people

Job Responsibility

Refining the analytical assets and core monitoring framework across the Network Platforms and Products (NPP) tower
Planning and executing data architecture and automated platform monitoring projects
Assessing the quality, scalability, and performance of real-time transactional data logs (e.g., auth, settlement, and portal logs) and the nature of their usage across product domains
Understanding complex technical issues and gaps in network data and proactively assessing data-driven risks, anomalies, and operational optimization opportunities
Communicating technical results and data trends clearly and concisely both verbally and through written communications via operational reports, dashboards, and executive presentations
Partnering with the Central Global Analytics team to align local NPP data assets with enterprise data strategy, cloud infrastructure, and global governance mandates
Coaching and mentoring technical staff, setting high engineering standards for data utilization across the team

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Health benefits
Financial benefits
Other benefits that support your total well-being

Fulltime

Retail Analytics Manager

This is a key leadership role within our data function, responsible for driving ...

Location

United Kingdom , Liverpool

Salary:

Not provided

Matalan

Expiration Date

Until further notice

Requirements

Strong analytical mindset with a genuine interest in understanding the “why” behind the numbers
Advanced Power BI expertise (including DAX and Power Query), with the ability to create clear, compelling dashboards
Strong SQL skills, with experience handling complex data extraction and manipulation
Experience with Python or R for advanced analytics (desirable)
Solid understanding of retail and commercial drivers (e.g. LFL performance, margin, stock efficiency, P&L)
Good knowledge of modern data architecture and analytics tooling
Experience working in or leading an embedded analytics model, partnering cross-functionally with stakeholders
Strong prioritisation skills, balancing local business needs with central strategic goals
Strategic thinker who understands the wider business impact of data and reporting decisions
Confident communicator, able to translate technical insight into clear, actionable recommendations

Job Responsibility

Lead a team of high-performing embedded analysts to drive commercial value and operational excellence
Act as the bridge between complex data and executive decision-making, translating insight into action
Build and implement a scalable “commercial playbook” to standardise reporting and reduce duplication
Define best practice across retail and commercial analytics (KPIs, templates, visualisation) to ensure one version of the truth
Manage and develop a cross-functional analytics team, aligning them to central strategy while delivering tailored insight to business areas
Champion automation and self-service tools to reduce manual reporting and increase value-add analytical work
Support the evolution of advanced analytics capability, including predictive modelling
Take a product-led approach to BI and data, influencing the development of data warehouse and reporting architecture
Partner closely with Data Engineering and IT to prioritise retail and commercial requirements in the data roadmap
Ensure all reporting and analytical outputs are robust, governed and compliant with data standards

What we offer

20% staff discount, which increases with length of service
Thrive Recognition Scheme
Wellbeing support provided by the Retail Trust
Life Assurance
Retail Rewards platform offering discounts for other retailers
Pension Scheme
Access to a wide range of career development
Additional benefits may apply depending on your role and area of the business

Fulltime

Product Engineering Manager

As the Product Engineering Manager for the Enterprise Central Team – PNG, you wi...

Location

Malaysia , Penang

Salary:

Not provided

AMD

Expiration Date

Until further notice

Requirements

Proven people manager, with experience building and leading teams (typically 5+ engineers)
Experience leading NPI teams and understanding the broader ecosystem of product development
strong stakeholder management and communication across organizations and levels
Strong technical/engineering background aligned to product engineering domains that support production launch (e.g., characterization, yield learning, product definition, issue debug)
Familiarity with fab processes, package/test interactions, and production screening strategies
Track record of technical decision‑making at the product level
Analytical, data‑driven approach
able to understand complex data and draw conclusions to drive next actions (tools such as JMP or Jupyter)
BS/MS Electrical Engineering, Computer Engineering, or comparable disciplines

Job Responsibility

Establish and grow the Enterprise Central Team – PNG Product Engineering capability (hiring, onboarding, coaching, performance management) to support ramping product execution needs
Reduce single‑person dependencies by building bench strength and developing subject matter owners as the Penang organization scales
Manage the Product Engineering team and deliver against commitments on cost, quality, reliability, and yield
Ensure product engineering deliverables needed for production launch are executed (e.g., product definition, characterization, yield and distribution attainment, and product‑level issue debug)
Provide product technical leadership and drive alignment across functional teams to achieve product technical requirements
Drive execution alignment across the broader product “swim lanes” (e.g., Product Engineering, Test Solution, Quality) so that handoffs and interdependencies are actively managed
Take ownership of PEO inputs to design based on characterization results and work with design teams to close issues
Drive engineering learning loops (characterization → issue closure → product definition updates) as part of product readiness
Lead product Test, Cost, and Quality gate deliverables and conduct reviews aligned to development milestones
Ensure Penang PE execution is integrated into the broader Enterprise cadence and readiness reviews as the site ramps

Fulltime

Manager, Data Science

Intuit is the global financial technology platform that powers prosperity for th...

Location

Canada , Toronto

Salary:

168000.00 - 227500.00 USD / Year

Intuit

Expiration Date

Until further notice

Requirements

7+ years of experience applying data science, advanced analytics, or quantitative methods to marketing, growth, or lifecycle use cases
Experience leading and developing teams of data analysts or data scientists, with a demonstrated ability to coach both technical and business skills
Strong expertise in statistics, experimental design, and causal inference, including A/B testing, multivariate testing, and incremental lift measurement
Hands-on experience building or operationalizing machine learning models (e.g., propensity, segmentation, churn, personalization) in partnership with engineering or platform teams
Proficiency with SQL and Python (or equivalent) for data analysis, experimentation, and modeling
Proven ability to lead cross-functional analytical projects end-to-end, from problem framing through execution and executive readout
Strong data storytelling and influence skills, with experience presenting insights and recommendations to senior leaders
Domain experience in lifecycle marketing, CRM, fintech, SaaS, or marketing technology preferred

Job Responsibility

Lead a team of marketing data scientists in defining and executing end-to-end data science roadmaps that support lifecycle marketing across QuickBooks Services (Capital, Payroll, Payments, Bill Pay) and Mailchimp, aligned to short- and long-term business outcomes
Own the measurement, experimentation, and modeling strategy for lifecycle marketing initiatives, including onboarding, attach, upsell, retention, and active use, leveraging causal inference, experimentation frameworks, and advanced analytics
Design, evaluate, and scale incrementality measurement approaches, including randomized experiments, holdouts, and quasi-experimental methods, to quantify the true impact of lifecycle marketing across Email, IPD, Push, SMS, Web, and cross-channel programs
Drive development and adoption of machine learning models for lifecycle marketing use cases such as propensity scoring, churn risk, personalization, and next-best-action, in partnership with central DS and ML platform teams
Translate complex analytical findings into clear, data-backed perspectives on marketing and business performance, with actionable recommendations tied to customer growth, revenue, and retention
Partner closely with Lifecycle Marketing, CRM Analytics, Product, GTM, and Finance to ensure strong metric definitions, data quality, and alignment between marketing performance and financial outcomes
Shape forward-looking data science capabilities by identifying gaps in experimentation, modeling, and data infrastructure, and influencing investments that improve learning velocity and decision-making
Manage a team of data scientists and contractors, including coaching on technical rigor, experimental design, modeling best practices, and data storytelling, while owning prioritization, intake, and delivery

Fulltime

Product Manager, Central Product

Meta Product Managers work with cross-functional teams of engineers, designers, ...

Location

United States , Menlo Park

Salary:

173000.00 - 241000.00 USD / Year

Select Country

Data Engineering Manager, Analytics (Central Products)

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

Looking for more opportunities?