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Senior Data Strategy Jobs in Arizona (NOW HIRING)

Senior Data Engineer

Phoenix, AZ · Hybrid

$100K - $135K/yr

We have a strategic and actionable plan underway and are looking for associates who are just as ... The Senior Data Engineer is responsible for creating sustainable reporting, analytic, and data ...

Senior Data Analyst

Phoenix, AZ · Remote

$6.9K - $8.0K/mo

Extremely High Summary The Senior Data Analyst will work as part of the Data Services & Business ... Our strategic flexibility allows for local work from home opportunities. Qualifications To perform ...

Senior Data Analyst

Phoenix, AZ · On-site

$6.9K - $8.0K/mo

Extremely High Summary The Senior Data Analyst will work as part of the Data Services & Business ... Our strategic flexibility allows for local work from home opportunities. Qualifications To perform ...

Senior Data Engineer

Phoenix, AZ · Hybrid

$100K - $135K/yr

We have a strategic and actionable plan underway and are looking for associates who are just as ... The Senior Data Engineer is responsible for creating sustainable reporting, analytic, and data ...

$66.75 - $89.25/hr

Enterprise Data Strategy - Develop and drive the implementation of enterprise-wide data architecture strategies. Lead the design of complex, cross-functional data solutions. Align data architecture ...

Senior Data Engineer / Data Curator A job at TSMC Arizona offers an opportunity to work at the most ... Manage data storage and retrieval strategies, ensuring scalability and data consistency across ...

Senior Data Engineer / Data Curator

Phoenix, AZ · On-site

$130K - $177K/yr

Senior Data Engineer / Data Curator A job at TSMC Arizona offers an opportunity to work at the most ... Manage data storage and retrieval strategies, ensuring scalability and data consistency across ...

Mid-Senior Data Engineer

Phoenix, AZ · Hybrid

$100K - $115K/yr

Contribute to data platform strategy and ongoing improvements. What you've got: * 3+ years of experience for mid-level candidates; 6+ years for senior-level candidates. * Strong experience with Azure ...

Showing results 21-40

Senior Data Strategy information

What does a senior data strategy professional do?

A Senior Data Strategy professional is responsible for developing and overseeing the implementation of data-driven strategies that support an organization's business objectives. They analyze large datasets, identify trends and opportunities, and collaborate with stakeholders to align data initiatives with company goals. Their work also involves ensuring data quality, governance, and compliance, as well as leveraging data to drive innovation and competitive advantage.

What are the key skills and qualifications needed to thrive as a senior data strategy professional?

To thrive as a Senior Data Strategy professional, you need deep expertise in data analytics, business strategy, and data governance, often backed by a degree in a quantitative field and several years of relevant experience. Familiarity with analytics platforms (such as SQL, Python, and Tableau), data management frameworks, and certifications like Certified Data Management Professional (CDMP) are highly valuable. Strong communication, stakeholder management, and strategic thinking skills set top performers apart in this role. These skills are essential for aligning data initiatives with organizational goals and driving data-driven decision-making across the business.

How does a senior data strategy professional typically collaborate with cross-functional teams to drive data initiatives?

As a Senior Data Strategy professional, you will frequently work with cross-functional teams, including data engineers, business analysts, product managers, and executives. Your main responsibility is to align data initiatives with business goals, so you will facilitate communication between technical and non-technical stakeholders, ensuring data solutions are both technically feasible and strategically valuable. This role often involves leading workshops, defining data governance frameworks, and setting priorities for data projects. Effective collaboration and influence are key, as you will help translate complex data insights into actionable strategies for different departments.

What is the difference between Senior Data Strategy vs Data Analyst?

AspectSenior Data StrategyData Analyst
Required CredentialsBachelor's or Master's in Data Science, Business, or related field; experience in data strategyBachelor's in Data, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentStrategic planning, cross-department collaboration, executive communicationData collection, cleaning, analysis, reporting
Employer & Industry UsageTech companies, consulting firms, large enterprisesRetail, finance, healthcare, and other sectors

While both roles involve working with data, Senior Data Strategy focuses on developing overarching data initiatives and aligning them with business goals, whereas Data Analysts primarily analyze data to generate reports and insights. The senior role requires strategic thinking and cross-functional collaboration, while Data Analysts focus on technical data processing and visualization.

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

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

What cities in Arizona are hiring for Senior Data Strategy jobs?

Cities in Arizona with the most Senior Data Strategy job openings:

Senior Data Scientist - Operations & Analytics

Kforce Technology Staffing

Phoenix, AZ • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago


Job description

RESPONSIBILITIES:
Kforce has a client in Phoenix, AZ that is seeking a Senior Data Scientist - Operations & Analytics.
Summary:
This is not a -heads-down- data science role-this is a leadership seat at the table. As a Senior Data Scientist, you'll drive high-impact analytics and machine learning initiatives that directly influence operational strategy and execution. You'll work end-to-end: from problem framing and data discovery to production deployment and performance measurement-while mentoring a growing team of data scientists. You'll tackle real-world, complex problems using a powerful blend of GenAI, predictive modeling, and optimization, translating advanced analytics into clear, actionable business outcomes. This role is ideal for someone who enjoys owning outcomes, influencing strategy, and building scalable analytics solutions that actually get used.
Responsibilities include:
* Lead and deliver advanced data science initiatives across forecasting, optimization, experimentation, and machine learning
* Build and deploy production-ready models (statistical, ML, and AI) in cloud environments
* Perform time-series analysis, demand forecasting, hypothesis testing, and causal inference
* Design and analyze experiments to drive measurable operational improvements
* Transform large, complex datasets into actionable insights and executive-level recommendations
* Partner with business leaders to define and execute a data science roadmap
* Translate advanced analytics and AI concepts for non-technical audiences
* Mentor and elevate data scientists through best practices in modeling, experimentation, and analytics engineering
* Identify new, innovative ways to leverage enterprise data for competitive advantage
REQUIREMENTS:
* Bachelor's degree in a STEM field (Industrial Engineering, Computer Science, Mathematics, Statistics, Engineering)
* Master's degree preferred
* 5+ years of data science experience, with demonstrated leadership or mentorship responsibilities
* Seasoned data science leader with depth, versatility, and strong business instincts
* Strong hands-on expertise in forecasting and demand modeling
* Advanced proficiency in Python or R, SQL, and cloud-based analytics environments (AWS or similar)
* Experience deploying machine learning or AI models into production
* Strong background in statistical modeling (regression, clustering, decision trees, experimentation, time series)
Proven experience across three data science domains (must be highly proficient in at least two, with working knowledge of all three):
* Generative AI
* Traditional statistics & machine learning
* Operations Research/Optimization
Nice to have:
* Logistics, supply chain, fleet, trucking, or distribution analytics
* Optimization use cases such as routing, pricing, maintenance, or resource planning
* Experience working closely with senior business stakeholders
Work Model Notes:
* Hybrid role based in Phoenix, AZ (4 days onsite per week)
* Hiring decision contingent on completion of onsite process
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.

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About Kforce

Sourced by ZipRecruiter

Kforce is a professional staffing services firm that is located in Tampa, Florida, US. Operational since 1962, it specializes in flexible and direct hire staffing in Technology and Finance & Accounting, engaging over 23,000 highly skilled professionals annually with more than 4,000 customers. Kforce operates within various industry sectors such as healthcare, financial services, communications, and government. Their mission is to have a meaningful impact on all the lives they serve, with a focus on integrity, respect, and trust.

Industry

It services and finance and insurance

Company size

1,001 - 5,000 Employees

Headquarters location

Tampa, FL, US