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Analytics Program Manager Jobs in Spring, TX (NOW HIRING)

Program Manager This role has been designed as 'Hybrid' with a requirement that you will work on ... We help companies connect, protect, analyze, and act on their data and applications wherever they ...

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Hill International is seeking a Program Manager - Utilities for Texas. This is a full-time position ... Must be able to analyze requested changes and to manage the change process * Assist project ...

Must be able to analyze requested changes and to manage the change process * Assist project ... schedule and program or risk for practice * Ability to review project documents (drawings ...

Program Manager, Lead

Houston, TX · On-site

$99K - $225K/yr

Program Manager, Lead The Opportunity: An effective program requires a manager who is passionate ... Ability to collect and define their IT requirements, analyze and translate those requirements into ...

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Analytics Program Manager information

See Spring, TX salary details

$34.3K

$95.6K

$139.7K

How much do analytics program manager jobs pay per year?

As of Aug 8, 2026, the average yearly pay for analytics program manager in Spring, TX is $95,628.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,700.00 and $117,900.00 per year, depending on experience, location, and employer.

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

AspectAnalytics Program ManagerData Analyst
Required CredentialsBachelor's or Master’s in Business, Analytics, or related field; certifications like PMP or Six Sigma beneficialBachelor's in Statistics, Mathematics, or related field; often certifications in data tools
Work EnvironmentLeads cross-functional teams, manages projects, strategic planningAnalyzes data sets, creates reports, supports decision-making
Employer & Industry UsageUsed in corporate, tech, finance sectors for managing analytics initiativesCommon in various industries for data interpretation and reporting

The Analytics Program Manager focuses on overseeing analytics projects, coordinating teams, and aligning analytics strategies with business goals. In contrast, Data Analysts primarily analyze data, generate reports, and support operational decisions. While both roles require strong analytical skills, the Program Manager role emphasizes project management and strategic oversight.

How does an analytics program manager typically collaborate with cross-functional teams to drive data initiatives?

An Analytics Program Manager works closely with stakeholders such as data engineers, analysts, product managers, and business leaders to align analytics projects with organizational goals. They facilitate clear communication between technical and non-technical teams, ensuring that data solutions address real business needs. Regular check-ins, project updates, and cross-team workshops are common, helping to prioritize initiatives and resolve roadblocks efficiently. This collaborative approach ensures data-driven decisions are effectively implemented across the organization.

What are the key skills and qualifications needed to thrive as an analytics program manager, and why are they important?

To excel as an Analytics Program Manager, you need strong project management abilities, experience in analytics or data science, and often a relevant degree such as in business, statistics, or computer science. Familiarity with data visualization tools (like Tableau or Power BI), analytics platforms (such as Google Analytics), and project management software (like Jira or Asana) is typically required, and certifications like PMP or Agile are advantageous. Exceptional communication, leadership, and stakeholder management skills set top performers apart in this role. These competencies are crucial for successfully guiding analytics initiatives, aligning cross-functional teams, and delivering actionable insights that drive business value.

What is an analytics program manager?

Analytics Program Managers are professionals responsible for overseeing and coordinating analytics projects within an organization. They bridge the gap between business goals and data-driven insights, ensuring that analytics initiatives align with strategic objectives. These managers work closely with data analysts, engineers, and business stakeholders to plan, execute, and deliver analytics solutions that drive business value. Their role often includes managing project timelines, budgets, stakeholder communications, and the overall success of analytics programs.
What job categories do people searching Analytics Program Manager jobs in Spring, TX look for? The top searched job categories for Analytics Program Manager jobs in Spring, TX are:
What cities near Spring, TX are hiring for Analytics Program Manager jobs? Cities near Spring, TX with the most Analytics Program Manager job openings:
Infographic showing various Analytics Program Manager job openings in Spring, TX as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 18% Part Time, 1% Temporary, and 5% Contract. Highlights an 94% Physical, 4% Hybrid, and 2% Remote job distribution, with an average salary of $95,628 per year, or $46 per hour.

Technical Program Manager, Modernization

Tiger Analytics Inc.

Houston, TX • On-site

$123K - $159K/yr

Full-time

Re-posted 26 days ago


Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Various market research firms, including Forrester and Gartner, have recognised our business value and leadership. We solve complex analytical problems at scale and have built a reputation for delivering valuable data-driven solutions across various industries, including Pharma and Life Sciences.
We are seeking a senior-level Technical Program Manager to lead a large-scale operational modernization and technology transformation initiative. This role will focus on driving execution, governance, and coordination across multiple technical and operational workstreams related to cloud modernization, data platforms, analytics enablement, and operational systems transformation.
The company is currently evolving from a more traditional BI-heavy and siloed reporting environment into a modern AWS-centric data ecosystem. Their broader technology direction includes Databricks, AWS S3, Redshift, Athena, Power BI, Apache Iceberg, and more modern streaming and analytics capabilities. AWS is heavily involved in the initiative alongside engineering/data teams.
The ideal candidate will have strong experience managing enterprise-scale programs involving cloud technologies, analytics, AI/ML initiatives, and cross-functional stakeholder management in complex operational environments.
RESPONSIBILITIES:
  • Lead end-to-end program execution across multiple technical and business workstreams.
  • Drive governance, planning, prioritization, risk management, and stakeholder communication for enterprise modernization initiatives.
  • Coordinate with internal engineering, data, analytics, operations, and executive leadership teams.
  • Manage collaboration across external vendors, consulting partners, cloud providers, and internal delivery teams.
  • Oversee cloud and data modernization initiatives including analytics enablement, operational reporting, forecasting, and visualization solutions.
  • Support modernization of enterprise data ecosystems leveraging cloud technologies and modern analytics platforms.
  • Drive delivery of operational analytics, AI/ML, and business intelligence initiatives aligned with business objectives.
  • Manage multi-workstream technical programs involving infrastructure modernization, operational systems, and enterprise analytics platforms.
  • Track program milestones, budgets, dependencies, risks, and implementation timelines.
  • Facilitate executive-level reporting, governance reviews, and strategic planning discussions.
  • Ensure successful execution within highly operational, fast-paced, and cross-functional enterprise environments.
  • Preferred experience working in operationally complex industries such as energy, utilities, infrastructure, manufacturing, transportation, or supply chain environments.
  • Experience collaborating with cloud providers, enterprise consulting partners, and distributed engineering/data teams.
  • Exposure to operational analytics, forecasting, scheduling, enterprise planning, and reporting systems is highly preferred.

Requirements
  • 10+ years of experience in Technical Program Management, Project Portfolio Management, or Enterprise Program Delivery.
  • Strong experience leading enterprise cloud transformation or data modernization programs.
  • Proven expertise managing large-scale, multi-workstream technical initiatives.
  • Experience driving AI/ML, analytics, business intelligence, or data engineering programs.
  • Strong stakeholder management and executive communication skills.
  • Experience managing consulting-led, vendor-heavy, or outsourced delivery engagements.
  • Ability to work effectively across engineering, operations, analytics, and leadership teams.
  • Experience with Agile, Waterfall, or hybrid project delivery methodologies.
  • Preferred experience with modern cloud and analytics technologies including AWS, Databricks, Amazon S3, Redshift, Athena, Power BI, Apache Iceberg, and modern data platform technologies.
  • Familiarity with cloud engineering, data engineering, analytics platforms, and enterprise modernization initiatives is highly preferred.

Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.