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Financial Data Manager Jobs in Texas (NOW HIRING)

This role ensures the accuracy and usability of financial data, enabling effective tax analysis and compliance. Acting as a liaison between clients and internal teams, the Manager drives data ...

Data Manager

Dallas, TX ยท On-site

Data Manager leads Data Management and Movement team. This lead role will be responsible for ... sensitive financial and personal data. Develop data cleansing and validation processes. Data ...

Senior Financial Data Analyst

Frisco, TX ยท On-site

$80K - $99K/yr

We are seeking a Senior Financial Data Analyst, Customer Care Finance to support the Director and Sr. Manager of Customer Care & Ancillary Business Finance. This role will serve as a key finance ...

Workflow Task Manager

San Antonio, TX ยท On-site

$60K - $65K/yr

Workflow/Financial Data Analyst A Workflow/Financial Data Analyst assists in financial analysis, reporting, and forecasting, supporting senior analysts and managers in making strategic financial ...

Support master data management processes, including the chart of accounts, vendor/customer structures, dimensions, and financial attributes * Develop and maintain financial reports, dashboards, and ...

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Financial Data Manager information

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst, and many professionals transition into this role later in their careers. Success depends on acquiring relevant skills such as data analysis tools, programming languages, and certifications, regardless of age.

What are the key skills and qualifications needed to thrive as a Financial Data Manager, and why are they important?

To thrive as a Financial Data Manager, you need expertise in finance, data analysis, and accounting principles, often supported by a degree in finance or a related field. Familiarity with financial management software, data visualization tools, and systems like SQL or SAP, as well as certifications such as CFA or CPA, are commonly required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret data and collaborate with stakeholders. These competencies ensure accurate financial reporting, informed decision-making, and efficient management of financial information for organizational success.

Is FP&A a stressful job?

Financial Planning and Analysis (FP&A) roles can be stressful due to tight deadlines, high accuracy requirements, and the need for detailed financial forecasting. The job often involves long hours during reporting periods and requires strong analytical skills and attention to detail, but stress levels vary depending on company culture and workload management.

What is the difference between Financial Data Manager vs Financial Analyst?

AspectFinancial Data ManagerFinancial Analyst
CredentialsBachelor's degree in finance, accounting, or related field; certifications like CFA or CPA beneficialBachelor's degree in finance, economics, or related; CFA certification often preferred
Work EnvironmentData-focused roles within finance departments, often in corporate or financial institutionsAnalytical roles in investment firms, banks, or corporate finance teams
Employer & Industry UsageUsed in finance departments managing large datasets, reporting, and data integrityUsed for investment analysis, financial planning, and market research

Financial Data Managers focus on managing and maintaining financial datasets, ensuring data accuracy and integrity. Financial Analysts interpret this data to provide insights, forecasts, and investment recommendations. While both roles require strong analytical skills and finance knowledge, the Data Manager emphasizes data management, whereas the Analyst emphasizes data analysis and decision-making support.

Is AI replacing financial analysts?

Financial Data Managers and financial analysts use AI tools to automate data processing, forecasting, and reporting tasks. While AI enhances efficiency and accuracy, it generally complements rather than fully replaces human analysts, who provide critical judgment and strategic insights. Professionals in this field should develop skills in data analysis, AI tools, and financial modeling to stay competitive.

What is financial data management?

Financial data management is the process of collecting, organizing, and maintaining financial information to ensure accuracy, security, and accessibility. It involves using tools like spreadsheets and database systems, and often requires knowledge of data analysis and compliance standards to support financial decision-making and reporting.

What are some common challenges Financial Data Managers face when ensuring data integrity across multiple systems?

Financial Data Managers often encounter challenges related to data consistency and accuracy, especially when integrating information from various financial software and databases. Discrepancies can arise due to differing data formats, real-time updates, and legacy systems, requiring careful validation and reconciliation processes. To address these issues, Financial Data Managers collaborate closely with IT teams, auditors, and financial analysts to establish robust data governance protocols and regular quality checks. This collaborative approach helps maintain trustworthy financial reporting and supports strategic business decisions.

What does a Financial Data Manager do?

A Financial Data Manager oversees the collection, analysis, and management of financial data within an organization. They ensure the accuracy and integrity of financial information, develop data management strategies, and support decision-making by providing relevant financial insights. Their role often involves working with large datasets, implementing financial software, and collaborating with accounting and finance teams to streamline reporting and compliance processes.
What are the most commonly searched types of Financial Data jobs in Texas? The most popular types of Financial Data jobs in Texas are:
What job categories do people searching Financial Data Manager jobs in Texas look for? The top searched job categories for Financial Data Manager jobs in Texas are:
Product Manager, Internal Financial Data

Product Manager, Internal Financial Data

MongoDB

Austin, TX โ€ข On-site, Remote

Full-time

Medical, Retirement, PTO

Posted 27 days ago


Job description

The Internal Data team is on a mission to power data-informed decisions and applications across MongoDB, oriented around the business areas of Customer, Product, Finance, and Employee. We build and scale the data products MongoDB employees rely on every day, including data pipelines, datasets, analytics, APIs, ML models, and frameworks that form the backbone of our internal data ecosystem.

We treat data as a product. That means applying the same rigor, user focus, and outcome orientation to internal data that MongoDB brings to its external-facing platform and products. As MongoDB scales, our financial data footprint has grown exponentially. You will inherit the challenge of providing the focus and product management needed to transform complex, high-volume consumption data into clean, compliant, and near-real-time financial products; moving our Finance teams away from manual workflows and toward automated, AI-driven forecasting.

This role can be based out of one of our NYC, Austin, Palo Alto, or San Francisco office locations or remotely in the United States.

What You\'ll Do
  • Drive the end-to-end product vision, strategy, and roadmap for critical data products that power company-wide financial planning, forecasting, spend efficiency, and operational rigor
  • Navigate ambiguity and shape requirements by partnering deeply with Finance leadership to unpack complex, unformed business problems. Proactively translate high-level financial strategies into concrete data requirements, technical frameworks, and user stories
  • Lead cross-functional squads to design, build, and deploy robust pipelines, datasets, dashboards, APIs, and frameworks. Champion underlying data management tools that serve as the foundational engine for AI and BI across the enterprise
  • Act as the ultimate advocate for the voice of the data consumer. Proactively audit user workflows, enforce data trust, and relentlessly push for the right strategic technical solutions over temporary, ad-hoc fixes
  • Ruthlessly prioritize the product backlog, breaking down massive, ambiguous data initiatives into well-scoped, high-value increments. Direct agile delivery from sprint planning through to release while aggressively managing cross-functional dependencies
  • Establish and track aggressive success metrics focused on product adoption, system usability, data accuracy, and quantifiable business value
  • Own the data lifecycle from deployment to adoption. Drive organizational change management, establish comprehensive technical documentation, and proactively lead incident resolution alongside engineering to continuously optimize system uptime
What We\'re Looking For
  • 3 - 5 years of strong, technical Product Management experience, specifically managing data-as-a-product
  • Direct experience partnering with Finance teams on planning, forecasting, and reporting workflows
  • Deep familiarity with modern data architecture, including lakehouse and medallion models
  • Strong product judgment and an outcomes-oriented mindset, with the ability to balance user needs, business priorities, technical direction, and delivery constraints while driving measurable impact and adoption
  • Hands-on experience with ERPs and core finance systems, with a strong understanding of journal entries, AR/AP, and aging schedules
  • Familiarity with FP&A and Workforce Planning (WFP) ecosystems
  • Experience handling sensitive data and SOX compliance, with the judgment to balance risk controls with velocity
  • Strong communication skills, with a track record of providing clear product visibility to both technical and non-technical stakeholders
  • High autonomy, with the ability to take full ownership of workstreams once priorities are aligned
  • Experience at top-tier software companies with consumption-based business models is a major plus
About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDBโ€™s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, weโ€™re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. Itโ€™s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, weโ€™re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employeesโ€™ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what itโ€™s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 2273437387

MongoDBโ€™s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDBโ€™s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.

MongoDBโ€™s base salary range for this role in the U.S. is:$108,000โ€”$212,000 USD