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Program Manager Data Analytics Jobs in Alabama (NOW HIRING)

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Data, Analytics & AI Engineer

Birmingham, AL

$107K - $128K/yr

Data, Analytics & AI Engineer Help Build the Future of Data, Analytics & AI Are you passionate ... Develop and manage curated data models in Azure SQL while helping migrate to Microsoft Fabric ...

Leidos

Manufacturing Program Manager

Huntsville, AL · On-site

$92K - $166K/yr

... data analytics, cybersecurity, logistics, training, and intelligence analysis and operations ... Manage & report out program status using Earned Value Management System (EVMS) CPI & SPI

Leidos

Manufacturing Program Manager

Huntsville, AL · On-site

... data analytics, cybersecurity, logistics, training, and intelligence analysis and operations ... Manage & report out program status using Earned Value Management System (EVMS) CPI & SPI

deploy.

Data, Analytics & AI Engineer

Birmingham, AL · On-site

$107K - $128K/yr

... manage curated data models in Azure SQL while helping migrate to Microsoft Fabric Lakehouse and ... Analytics • Build interactive dashboards, semantic models, and reports using Power BI. • ...

Leidos

Program Manager

Huntsville, AL · On-site

$139K - $251K/yr

... data analytics, cybersecurity, logistics, training, and intelligence analysis and operations ... Prepare and present program status reports and briefings to senior management and DoD clients.

i3

Program Manager

Huntsville, AL

Data analytics focus and firm understanding of digital transformation. * Strong background of ... Demonstrated ability to manage complex programs that include multiple subcontractors, material ...

Turner Construction

xPL Program Manager

Huntsville, AL · On-site

Use data analytics to establish, monitor, and measure program Key Performance Indicators (KPIs) and ... Manage Project Management employees and other team members; and may participate in hiring process ...

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Program Manager Data Analytics information

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.

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.

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.
What are popular job titles related to Program Manager Data Analytics jobs in Alabama? For Program Manager Data Analytics jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Program Manager Data Analytics jobs in Alabama look for? The top searched job categories for Program Manager Data Analytics jobs in Alabama are:
Program Manager Data Analytics jobs near you
Infographic showing various Program Manager Data Analytics job openings in Alabama as of July 2026, with employment types broken down into 1% Internship, 83% Full Time, 10% Part Time, and 6% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution.
Sr. Manager, Data Reporting & Analytics

Sr. Manager, Data Reporting & Analytics

Teledyne FLIR LLC

Huntsville, AL • On-site

Full-time

Posted 7 days ago

Job description

Be visionary
Teledyne Technologies Incorporated provides enabling technologies for industrial growth markets that require advanced technology and high reliability. These markets include aerospace and defense, factory automation, air and water quality environmental monitoring, electronics design and development, oceanographic research, deepwater oil and gas exploration and production, medical imaging and pharmaceutical research.
We are looking for individuals who thrive on making an impact and want the excitement of being on a team that wins.
Job Description
Job Summary:
The Senior Manager, Data Reporting & Analytics leads the enterprise Power BI and reporting function across multiple ERP platforms and business units. This role is accountable for both delivery and transformation-managing a team of Power BI developers while driving the transition from decentralized, gateway-based reporting to standardized Microsoft Fabric-based analytics. This role combines strong people leadership, deep technical expertise in Power BI and Microsoft Fabric, and enterprise-level coordination across business, ERP, and data platform teams. The Senior Manager ensures reporting solutions are scalable, governed, performant, and aligned to enterprise standards-while pragmatically supporting legacy content during the transition period.
Key Responsibilities:
People Leadership & Delivery Management:
  • Lead, coach, and develop a team of Power BI developers
  • Own delivery planning, capacity management, and prioritization across reporting demands
  • Establish technical expectations, quality standards, and best practices across the team
  • Conduct performance reviews, mentor developers, and build long-term analytics capability

Enterprise Reporting Ownership:
  • Own the enterprise reporting portfolio spanning multiple ERP systems and data sources
  • Coordinate reporting development across business units to reduce duplication and inconsistency
  • Rationalize legacy and bespoke reports, guiding consolidation toward standard solutions
  • Serve as the accountable owner for reporting quality, performance, and reliability

Microsoft Fabric Transition & Modernization:
  • Lead the evolution from gateway-dependent, ERP-specific Power BI architectures to Microsoft Fabric-aligned patterns
  • Define coexistence strategies for legacy reports during the transition period
  • Drive adoption of shared semantic models, standardized datasets, and reusable reporting assets
  • Partner with data engineering and platform teams on Lakehouse, Warehouse, and OneLake integration

Technical Direction & Governance:
  • Set technical standards for Power BI, semantic modeling, DAX, and report design
  • Provide hands-on architecture and design reviews for complex or high-impact analytics
  • Act as escalation point for performance optimization, model design, and advanced DAX issues
  • Ensure appropriate use of Row-Level Security (RLS), Object-Level Security (OLS), and governance controls

Stakeholder & Demand Management:
  • Act as the senior reporting point-of-contact for business and ERP stakeholders
  • Translate business questions into scalable, enterprise-ready reporting solutions
  • Balance enterprise governance with pragmatic business delivery
  • Clearly communicate trade-offs, priorities, and roadmap implications

Enablement & Community Leadership:
  • Oversee development of Power BI training materials and internal best-practice guidance
  • Sponsor and run internal Power BI user group sessions (quarterly or more frequently)
  • Promote adoption of standardized patterns and continuous improvement across the organization

Required Professional & Leadership Experience:
  • 8-12+ years in analytics, BI, or reporting roles
  • 3-7+ years managing Power BI developers or analytics teams
  • Proven experience leading reporting functions through architectural or platform transformation
  • Demonstrated ability to influence across business units and technology teams

Technical Expertise:
  • Expert-level Power BI experience:
    • Advanced semantic modeling
    • DAX optimization and performance tuning
    • Large-scale enterprise datasets
  • Strong working knowledge of Microsoft Fabric, including:
    • Lakehouse, Data Warehouse, OneLake
    • Direct Lake and Fabric-aligned modeling patterns
  • Deep experience with:
    • Dimensional modeling (star / snowflake schemas)
    • SQL optimization and query performance
    • On-premises gateways and cloud transition strategies
  • Experience implementing:
    • RLS / OLS
    • Governance, data quality checks, and documentation standards
  • Familiarity with Git-based source control and CI/CD patterns for Power BI and Fabric artifacts

Preferred Qualifications:
  • ERP reporting experience (SAP S/4, ECC, or comparable platforms strongly preferred)
  • Microsoft certifications such as PL-300 (or equivalent)
  • Exposure to Microsoft Purview for lineage and data governance
  • Experience with Power Platform (Power Apps / Power Automate) for write-back or workflow integration
  • Working knowledge of Python or R for advanced analytics scenarios

** US Citizenship is required for this position. We are unable to hire individuals currently on a work visa or individuals who will require a work visa in the future. **
Salary Range:
$83,400.00-$111,200.000
The anticipated salary range listed for this role is only an estimate. Actual compensation for successful candidates is carefully determined based on several factors including, but not limited to, location, local regulations (such as minimum wage), education/training, work experience, key skills, and type of position.
Teledyne and all of our employees are committed to conducting business with the highest ethical standards. We require all employees to comply with all applicable laws, regulations, rules and regulatory orders. Our reputation for honesty, integrity and high ethics is as important to us as our reputation for making innovative sensing solutions.
Teledyne is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other characteristic or non-merit based factor made unlawful by federal, state, or local laws.

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