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Program Manager Data Analytics Jobs in Tennessee

ZipLiens

Data & Analytics Manager (Hybrid)

Franklin, TN · On-site

$122K - $165K/yr

Zipliens is looking for a Data & Analytics Manager to join our team, building the data foundation that powers the next generation of applications and analytics for the legal industry. After several ...

Target Specialty Products

We are seeking a Manager, Pricing & Data Analytics to lead our business intelligence efforts and ... Training and development programs available * Tuition Reimbursement benefits (for FT Colleagues ...

CGI Inc.

Data & Analytics Engineer

Nashville, TN · On-site

$110K - $132K/yr

Understanding of Master Data Management tools and processes . Software development experience in ... Wellness and Well-being programs #LI-JN1 Skills: * Amazon Web Services Cloud * ETL * Microsoft SQL ...

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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.

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 Tennessee? For Program Manager Data Analytics jobs in Tennessee, the most frequently searched job titles are:
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Program Manager Data Analytics jobs near you
Data & Analytics Manager (Hybrid)

Data & Analytics Manager (Hybrid)

ZipLiens

Franklin, TN • On-site

$122K - $165K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

Job description

Zipliens is looking for a Data & Analytics Manager to join our team, building the data foundation that powers the next generation of applications and analytics for the legal industry. After several years of high growth, Zipliens has become a leader in lien resolution, a process required in most personal injury settlements. The software we build supports the lien resolution work we perform on behalf of law firms, helping them operate more efficiently while ultimately enabling the injured parties they service to access settlement funds more quickly and completely - giving our work a clear, real-world impact beyond the technical challenges.

The Data & Analytics Manager will  lead the foundational data work powering our Mass Torts and Single Event Operations teams, and to set the stage for broader business intelligence and AI/ML capabilities across the company. You'll spend most of your time hands-on: building the pipelines that bring data together from across our source systems, designing the data warehouse and models that make that data usable, and developing the quality frameworks that keep what the business relies on accurate and complete. You'll partner closely with Operations to translate their evolving data needs into reliable assets, while building and leading the data team as it grows.

Requirements

Responsibilities:

Data Foundation & Quality

  • Design and build the data models, structure, and architecture needed to support Operations workflows and future analytics use cases.
  • Develop and maintain data quality frameworks - validation, testing, and monitoring - so the data the business relies on is accurate and trusted.
  • Own decisions about data tooling, modeling approaches, and how the data is organized over time.

Operations Partnership

  • Partner closely with our Mass Torts and Single Event Operations teams to understand their data needs and translate them into well-structured, reliable data assets.
  • Support Operations in gathering, quality-checking, and delivering data files to outside vendors and clients.
  • Surface data gaps, inefficiencies, and opportunities through ongoing collaboration with operational stakeholders.

Team Leadership

  • Manage and develop a small team, beginning with one direct report and expected to grow to as many as five (5) over the next year.
  • Set biweekly and quarterly priorities that align with the company's broader data goals.
  • Establish standards for quality, documentation, and consistency across the team's work.
  • Own hiring, onboarding, and performance management as the team grows.

Cross-Functional Support

  • Support leadership and internal departments by making clean, well-organized data accessible for reporting and analysis.
  • Lay the groundwork for downstream business intelligence and AI/ML capabilities by ensuring data is structured to support those use cases as the company evolves.
Qualifications:
  • 5+ years in a data engineering or analytics engineering role, with hands-on experience building data pipelines, models, and warehouses.
  • 2+ years formally managing or leading others, with comfort owning hiring, performance, and development decisions.
  • Strong SQL skills and direct experience with modern cloud data warehouse platforms (Snowflake, BigQuery, Redshift, or similar).
  • Working knowledge of ETL/ELT processes and modern transformation tooling (e.g., dbt).
  • Demonstrated ability to translate business needs into well-modeled, durable data assets.
  • Strong communication skills and a track record of partnering effectively with non-technical stakeholders.

Nice to Have 

  • Experience supporting operational data flows in regulated or services-heavy industries (legal, healthcare, financial services).
  • Familiarity with BI tooling (Tableau, Power BI, Looker) and how data infrastructure supports the BI layer.
  • Exposure to data science workflows - enough to support future data science hires and use cases.

Benefits

  • Private Health Care Plan (Medical, Dental & Vision)
  • Company HSA contributions for HDHP participants
  • Flexible Spending Accounts (Health & Dependent Care)
  • Company-Paid Short-Term Disability Coverage
  • Voluntary Long-Term Disability, Life, AD&D, and Supplemental Coverage Options
  • 401(k) Plan with Company Match
  • Paid Time Off (Vacation, Sick Time & Select Holidays)
  • Paid Parental Leave

Pay Disclosure: The total base salary range for this role is $122,000 - $165,000 annually, with opportunity for a discretionary bonus. Final compensation will be determined based on skills and experience.

Work Authorization: Applicants must be authorized to work in the United States without the need for employer-sponsored visa support now or in the future.

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