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Program Manager Data Analytics Jobs in Austin, TX

Munich Re

Technical Architect - Data, Analytics & AI

Austin, TX · Hybrid

$62.25 - $80/hr

Define and maintain technical standards for enterprise data management, analytics platforms, and AI ... program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid ...

Itron, Inc

Program Manager

Austin, TX · Hybrid

As a Program Manager- New Product Introduction , you will lead operational excellence for new ... Data Analysis: Utilize data analytics and technology to monitor and evaluate the performance of the ...

Apple

Program Manager, Analytics and Review

Austin, TX

$137K - $263K/yr

... using data analysis to identify trends, surface insights, and support informed decision-making ... program management Strong technology aptitude, with knowledge of common discovery tools, project ...

Apple

Program Manager, Analytics and Review

Austin, TX

$137K - $263K/yr

... using data analysis to identify trends, surface insights, and support informed decision-making ... program management Strong technology aptitude, with knowledge of common discovery tools, project ...

Apple

Program Manager, Analytics and Review

Austin, TX

$137K - $263K/yr

... using data analysis to identify trends, surface insights, and support informed decision-making ... program management Strong technology aptitude, with knowledge of common discovery tools, project ...

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All JobsProgram Manager Data Analytics JobsProgram Manager Data Analytics Jobs in Austin, TX

Program Manager Data Analytics information

See Austin, TX salary details

$38.2K

$106.5K

$155.6K

How much do program manager data analytics jobs pay per year?

As of Jun 23, 2026, the average yearly pay for program manager data analytics in Austin, TX is $106,516.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,800.00 and $131,300.00 per year, depending on experience, location, and employer.

What is the difference between Program Manager Data Analytics vs Data Analyst?

AspectProgram Manager Data AnalyticsData Analyst
CredentialsBachelor's or Master's in Business, Data Science, or related fields; certifications like PMP or CAPM beneficialBachelor's in Statistics, Data Science, or related fields; certifications like Microsoft Data Analyst Associate helpful
Work EnvironmentOversees multiple projects, collaborates with cross-functional teams, manages stakeholdersAnalyzes data sets, creates reports, supports decision-making within teams
Industry UsageCommon in tech, finance, healthcare, and large organizationsWidely used across industries for data interpretation and reporting

The Program Manager Data Analytics focuses on managing multiple analytics projects and coordinating teams, while Data Analysts primarily analyze data and generate reports. Both roles require strong analytical skills, but the Program Manager has broader responsibilities in project oversight and stakeholder management.

Is 40 too late for data science?

For a Program Manager in Data Analytics, starting a career in data science at age 40 is feasible, as many skills such as statistical analysis, programming, and data visualization can be learned at any age. Experience in related fields and continuous learning through certifications or courses can enhance job prospects regardless of age.

Is AI replacing data analysts?

Program managers in data analytics oversee projects that often involve AI tools, but AI is not replacing data analysts; instead, it automates routine tasks, allowing analysts to focus on complex analysis and strategic insights. Data analysts' skills in interpreting data, storytelling, and domain knowledge remain essential, and proficiency with AI and machine learning tools enhances their effectiveness.

How does a Program Manager in Data Analytics typically collaborate with cross-functional teams?

As a Program Manager in Data Analytics, you will frequently work with data engineers, analysts, business stakeholders, and IT teams to drive analytics initiatives from conception to completion. This collaboration involves translating business objectives into technical requirements, ensuring clear communication between teams, and managing timelines and deliverables. Regular meetings, stakeholder updates, and agile project management practices are commonly used to keep everyone aligned and to adapt quickly to changing priorities. Building strong relationships across departments is essential for successfully delivering data-driven solutions.

Do program managers need data analytics skills?

Program managers in data analytics roles typically need skills in data analysis, visualization tools, and understanding of data-driven decision-making. These skills help them oversee projects that involve large datasets and ensure strategic goals are met efficiently.

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

To thrive as a Program Manager in Data Analytics, you need strong project management skills, deep analytical expertise, and a background in statistics or computer science, often supported by a bachelor’s or master’s degree. Familiarity with analytics platforms (such as Tableau or Power BI), programming languages (like SQL or Python), and certifications like PMP or Agile are highly valuable. Exceptional communication, leadership, and stakeholder management skills help in aligning teams and translating complex data insights into actionable business strategies. These capabilities ensure successful delivery of analytics initiatives that drive informed decision-making and organizational growth.

What is a Program Manager in Data Analytics?

A Program Manager in Data Analytics is responsible for overseeing and coordinating multiple data analytics projects or initiatives within an organization. They work closely with data analysts, data scientists, and other stakeholders to ensure that data-driven projects align with business objectives, are delivered on time, and produce actionable insights. Their role includes strategic planning, resource allocation, risk management, and communication between technical teams and business leaders. Program Managers help bridge the gap between technical execution and organizational goals, ensuring that data analytics initiatives deliver measurable value.

Who earns more, a project manager or a data analyst?

A project manager typically earns more than a data analyst due to greater responsibilities, leadership requirements, and often higher levels of experience and certification. Project managers usually oversee entire projects, budgets, and teams, which contributes to higher compensation compared to data analysts who focus on data interpretation and reporting.
What are popular job titles related to Program Manager Data Analytics jobs in Austin, TX? For Program Manager Data Analytics jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Program Manager Data Analytics jobs in Austin, TX look for? The top searched job categories for Program Manager Data Analytics jobs in Austin, TX are:
What cities near Austin, TX are hiring for Program Manager Data Analytics jobs? Cities near Austin, TX with the most Program Manager Data Analytics job openings:
Program Manager Data Analytics jobs near you
Staff Data Analytics

Staff Data Analytics

Advanced Micro Devices, Inc

Austin, TX • On-site

$79K/yr

Full-time

Posted 23 days ago

Advanced Micro Devices rating

8.4

Company rating: 8.4 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

22nd of 139 rated electronics manufacturers

Job description

WHAT YOU DO AT AMD CHANGES EVERYTHING
At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.
THE ROLE:
This role is a high-visibility position within AMD's Finance organization, with an expanded scope to accelerate AI adoption across the Global Sales & Marketing finance team. The role blends strong data analytics skills combined with financial acumen to drive advanced analytics, automation, and adoption of modern AI-enabled tools. The position reports directly to the Sr. Finance Manager.
This role reviews complex financial and operational data and performs strategic analyses and reporting (i.e. profit and loss, balance sheet, cash flow, pricing, rebates) with the goal of influencing business outcomes and driving cross-business initiatives. In addition, the role will help lead the team's AI movement by identifying high-value use cases, driving process improvements and standard work, building scalable automation, and delivering group training and ongoing enablement so the organization can adopt AI responsibly.
THE PERSON:
The ideal candidate has a bias for action, a high sense of collaboration, and the ability to make clear recommendations in a fast-paced environment. We are looking for a teammate who brings strong technical capability combined with finance fundamentals to modernize reporting and analysis through data, automation, and AI. The successful candidate will take ownership of outcomes, drive process improvements, and help elevate team capability by designing and delivering group AI training, coaching peers to drive process improvements and help elevate overall team capability.
KEY RESPONSIBILITIES:
  • Serve as the Global Sales finance data expert supporting Global Channel Sales Organization.
  • Perform month-end and quarter end close activities, support reporting and consolidation activities related to pricing/rebates.
  • Identify, prioritize, and deliver AI/automation use cases that solve business problems; drive efficiency by automating, simplifying, or eliminating routine work.
  • Plan and deliver recurring group training (and office hours) on AI-enabled workflows for finance, including best practices, validation techniques, and reusable examples/templates.
  • Champion AI adoption across the group by sharing best practices, partnering with stakeholders on process improvements, and measuring impact (time saved, quality improvements, cycle-time reduction).
  • Accurately forecast pricing discounts and provide business insights and variance analysis.
  • Perform scenario analysis & planning to be used for decision making and approvals (e.g. pricing deals, revenue & gross margin analysis, etc.).
  • Analyze financial impact of customer deals and communicate impact across functional teams to ensure financial goals are met.
  • Drive continuous improvements in execution by collaborating with Corporate Financial Planning, Accounting, Regional Finance, Legal, and Business Unit Operations
  • Take full ownership of and accountability for ongoing reports providing validation and supporting documentation to business partners as required.
  • Assist in providing valuable management decision support, driving key business goals, identifying major trends and corresponding business issues.

PREFERRED QUALIFICATIONS:
Technical / Analytics
  • Advanced Excel skills, including data modeling and process automation.
  • Strong experience querying and preprocessing data from structured and/or unstructured sources using SQL (or similar query languages).
  • Technical skills in one or more scripting languages (such as Python, Java, etc.) for statistical analysis and/or building and scoring AI/ML models.
  • Preferred knowledge of Power BI or Tableau (or equivalent visualization tools).
  • Passion for applying AI to drive process improvements, standardize reporting, and enable broader team productivity (including helping with AI training/enablement).
  • Proven experience writing code that is easy to follow and well documented; comments added where necessary to explain logic (high code transparency).

Finance / Business
  • Experience in Finance/Accounting related roles such as Corporate FP&A, Sales Finance, Strategy Finance, Marketing Finance, Business Finance, Accounting, and/or related consulting experience.
  • Strong understanding of US GAAP principles and revenue recognition standards under ASC 606.
  • Ability to translate between technical and finance stakeholders, turning complex data and tools into actionable business recommendations.
  • Self-starter with excellent interpersonal communication, teaming, and problem-solving skills.
  • Robust analytical skills required and the ability to turn sophisticated data and concepts into valuable information to present in a simple/understandable manner.

ACADEMIC CREDENTIALS:
  • Bachelor's or Master's degree in Finance, Accounting, MIS, Computer Science, or related field preferred

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Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here.
This posting is for an existing vacancy.

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