ZipRecruiter

Log In

1

Data Strategy Jobs in Arizona (NOW HIRING)

Pwc

Data Engineer - Senior Manager

Phoenix, AZ · On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver ...

Globe Telecom, Inc.

Data Engineer Manager

Globe, AZ · On-site

$108K - $130K/yr

This role ensures the integration, storage, and cleansing of data to support the organization's data strategy. The Data Engineering Manager drives compliance with data governance standards and best ...

Globe Telecom, Inc.

Data Management Manager

Globe, AZ · On-site

Working closely with Business, Enterprise Architecture, Solution Delivery, Engineering, and Data Owners, the Data Management Manager translates enterprise data strategy into operational execution by ...

HCVT

Senior Data & Analytics Specialist

Phoenix, AZ · Hybrid

Technical Leadership & Data Strategy: Provide technical leadership in enterprise data architecture, analytics technologies, and modern data engineering practices. Evaluate emerging tools and ...

previous pagenext page

Showing results 21-40

All JobsData Strategy JobsData Strategy Jobs in Arizona

Data Strategy information

See Arizona salary details

$23.8K

$110.5K

$205.3K

How much do data strategy jobs pay per year?

As of Sep 11, 2026, the average yearly pay for data strategy in Arizona is $110,522.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,582.00 and $140,777.00 per year, depending on experience, location, and employer.

What is a data strategy?

A Data Strategy job focuses on defining and implementing an organization's approach to data management, governance, and utilization. Professionals in this role ensure that data is aligned with business goals, enabling better decision-making and competitive advantage. They work on data policies, frameworks, and analytics strategies while collaborating with stakeholders across IT, business, and data teams. The role often involves assessing data quality, strategic planning for data infrastructure, and identifying opportunities for data-driven innovation.

What are the key skills and qualifications needed to thrive in data strategy?

To thrive in Data Strategy, you need strong analytical skills, business acumen, experience with data governance, and typically a degree in data science, analytics, or a related field. Familiarity with tools such as SQL, BI platforms (like Tableau or Power BI), and data management systems, along with certifications such as CDMP or DAMA, are often required. Excellent communication, stakeholder management, and problem-solving skills set top professionals apart in this domain. These abilities are vital for bridging technical and business teams to drive actionable strategies and maximize data-driven value for organizations.

What are some typical projects or initiatives a data strategy professional works on?

Data Strategy professionals often lead projects related to developing enterprise data roadmaps, improving data quality standards, implementing data governance frameworks, and aligning analytics initiatives with business objectives. They may be involved in launching new data platforms, advising on data privacy compliance, or collaborating on cross-functional teams to ensure data is effectively leveraged for decision-making. The role usually requires partnering with IT, analytics, and business units to coordinate efforts and ensure alignment with organizational priorities.

What does a data strategist do?

A data strategist develops and implements data management and analytics strategies to help organizations make informed decisions. They analyze data, establish data governance policies, and collaborate with teams to align data initiatives with business goals, often using tools like SQL, data visualization software, and analytics platforms.

What does a data strategy do?

A data strategy defines how an organization manages, uses, and governs its data to support business goals. A data strategist develops plans for data collection, storage, quality, security, and analytics, often utilizing tools like data warehouses and governance frameworks. This role ensures data is reliable, accessible, and aligned with organizational priorities.

What are the most commonly searched types of Data Strategy jobs in Arizona?

The most popular types of Data Strategy jobs in Arizona are:

What are popular job titles related to Data Strategy jobs in Arizona?

For Data Strategy jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Data Strategy jobs in Arizona look for?

The top searched job categories for Data Strategy jobs in Arizona are:

Data Strategy jobs near you
Infographic showing various Data Strategy job openings in Arizona as of September 2026, with employment types broken down into 7% Internship, 80% Full Time, and 13% Part Time. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $110,522 per year, or $53.1 per hour.

Senior Vice President of Enterprise Data - AZ - On site

Chandler, AZ • On-site

Vensure Employer Services
Finance and Insurance • 501 - 1,000 employees
Learn more about Vensure Employer Servicesexternal

$66.25 - $88.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago

Job description

We are a proud work-from-office company. If you're ready to work on-site in a dynamic, global company, we'd love to hear from you.
About Us
Vensure Employer Solutions is the largest privately held organization in the HR technology and service sector, providing a comprehensive portfolio of solutions, including HR/HCM technology, managed services, and global business process outsourcing (BPO). The company and its service providers collectively serve over 95,000 businesses and process over $135B in annual payroll. As a "One Employer Solution" headquartered in Chandler, Arizona, Vensure helps thousands of businesses streamline and grow their operations with custom strategies that benefit both employers and employees. Find out more by visiting www.vensure.com .
Position Summary
The Senior Vice President of Enterprise Data is an executive leader and main data architect responsible for operationalizing a unified, enterprise-grade data foundation that powers daily reporting, advanced analytics, and AI across our HR, payroll, and insurance businesses. The SVP will own the end-to-end data strategy-spanning architecture, engineering, and governance helping to drive a cultural shift toward data reliability, speed, and reuse at scale.
Essential Duties and Responsibilities
Top Priorities (First 12-18 Months)
1. Unify Vensure HR data into a single data lake/Lakehouse across all platforms and subsidiaries, with robust governance and security.
2. Industrialize data readiness-compile, cleanse, standardize, and productize data for easy consumption by daily reporting, self-service analytics, and AI/ML training.
Key Responsibilities
  • Data Strategy & Architecture

o Define and execute the enterprise data architecture (data lake/lakehouse, streaming, MDM, metadata, lineage, quality) aligned to business OKRs.
o Select and govern platform standards (e.g., Azure/AWS; Databricks/Snowflake/Synapse; ClientSpace; dbt/Airflow; Power BI/Tableau).
  • Data Engineering & Operations

o Build high-throughput, cost-efficient pipelines (batch/streaming) with automated testing, observability, and data SLAs.
o Implement gold/semantic layers for trusted daily and intraday reporting.
o Establish data product ownership, versioning, and change-management for stable AI/ML training sets.
  • Governance, Risk, & Compliance

o Implement data governance (catalog, lineage, access controls), privacy-by-design, and retention standards; ensure compliance with SOC 2, HIPAA where applicable, and state/federal employment data regulations.
o Create incident response and data quality playbooks with measurable remediation timelines.
  • People & Operating Model

o Mentor teams across data engineering, architecture, governance, and analytics; recruit and develop top talent.
  • Stakeholder Partnership & Value Realization

Knowledge, Skills, and Abilities
  • Proven track record building enterprise data lakes/lakehouses and migrating disparate source systems to standardized models.
  • Deep expertise in data modeling (3NF, star, data vault), MDM/reference data, metadata/lineage, and data quality frameworks.
  • Hands-on leadership with modern stacks: cloud data platforms (Azure preferred), Spark/Databricks or Snowflake, Python/SQL, orchestration (Airflow/dbt), streaming (Kafka/Event Hubs), CI/CD and IaC (Terraform), BI (Power BI/Tableau/Looker).
  • Demonstrated success enabling daily operational reporting at scale and producing AI/ML-ready datasets (feature stores, governance for model risk).
  • Executive communication skills: able to set vision, influence senior stakeholders, and translate technical roadmaps into business outcomes.
  • Industry plus: experience with PEO/HR Tech, payroll, benefits, workers' comp, or insurance data domains (HRIS, time & attendance, claims, underwriting, policy/billing).

Leadership & Operating Model
  • Establish a federated-to-centralized model: central standards and platforms with domain-aligned data product teams.
  • Drive a culture of accountability with outcome-based metrics, transparent roadmaps, and executive dashboards.

Success Metrics (Illustrative)
  • 90 days: Target state architecture & migration plan; baseline data inventory, lineage, and quality; staffing and operating model finalized with SVP Analytics.
  • 6 months: First unified domains in lakehouse (e.g., HR, payroll), certified daily KPI packs live, data SLAs operational; AI feature store v1.
  • 12 months: 70%+ critical sources unified; daily reporting reliability >99%; time-todataset reduced by 50%; 3+ AI initiatives trained on governed datasets.
  • 18 months: Full run-rate operating model; cost per query and pipeline efficiency improved; measurable ROI from analytics & AI programs.

Education & Experience
  • BS/MS in Computer Science, Data/Software Engineering, Information Systems, or related; MBA or equivalent executive experience preferred.
  • 15+ years progressive experience across data architecture, data engineering, and analytics; 7+ years leading large, multi-disciplinary data organizations in complex, multi-brand environments.

Required Licenses and/or Certifications
  • None

Physical Demands
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.
  • Frequently required to sit; occasionally required to stand and walk.
  • Specific vision abilities required include close vision, color vision, and ability to adjust focus.
  • Frequently required to talk and hear.
  • Moderate concentration/intensity, which includes prolonged mental effort.

Disclaimer
The above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow any other instructions, and perform any other related duties, as assigned by their supervisor.
This position is eligible for the following benefits:
  • Health Insurance: Medical, dental, and vision coverage
  • Retirement Plan: 401(k) with company match
  • Paid Time Off: PTO, Holidays, Parental leave and Sick Leave provided as required by applicable state law
  • Other Benefits: Life insurance, short term disability, long term disability, employee assistance program (EAP), flexible spending account (FSA), health savings account (HSA), Identity theft protection, critical illness, accident, cancer, hospital protection, legal and pet insurance.
  • Additional Compensation: [e.g., signing bonus, commission structure] if applicable

Apply