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Vp Data & Analytics Jobs (NOW HIRING)

## First Vice President, Data AnalyticsApplyremote type: Onsitelocations: Central Region (City Area ... Analyze macro and micro data (structured/less structured) to answer business questions via ...

VP, Data (Bradenton)

Bradenton, FL · On-site

$125K - $160K/yr

Data Science & Analytics: Responsible for advanced analytics, machine learning, and applied data ... P of Product Engineering, executive leadership, board members, and cross-functional teams to ...

New

Vice President, Data amp; Analytics Products About OptimizeRx OptimizeRx is a leading healthcare technology company that's redefining how life science brands connect with patients and healthcare ...

Position Summary The Vice President, Market Data, Analytics & Insights is a high-impact role responsible for shaping andleading a best-in-class analytics capability that drives commercial performance ...

Job Overview The VP of Data & Analytics is the senior leader responsible for AGS's entire data strategy, data platform, and analytical capabilities. This role is responsible for end-to-end data ...

Showing results 21-40

Vp Data Analytics information

See salary details

$33K

$81.5K

$140K

How much do vp data & analytics jobs pay per year?

As of Aug 9, 2026, the average yearly pay for vp data & analytics in the United States is $81,518.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $96,500.00 per year, depending on experience, location, and employer.

What are the main challenges faced by a VP Data & Analytics, and how are they addressed?

A VP Data & Analytics often faces challenges such as aligning data initiatives with overall business strategy, ensuring data quality and governance across diverse sources, and bridging the gap between technical teams and executive leadership. Addressing these challenges typically involves establishing robust data governance frameworks, promoting a data-driven culture, and continuously updating analytics strategies to reflect changing business needs. Collaboration with stakeholders from IT, operations, finance, and marketing is essential to gather requirements and ensure analytics efforts are driving measurable outcomes. By proactively managing these obstacles, a VP Data & Analytics helps unlock the full value of organizational data and supports sustainable business growth.

What are the key skills and qualifications needed to thrive as a VP Data & Analytics?

To thrive as a VP Data & Analytics, you need deep expertise in data strategy, analytics methodologies, data management, and a relevant advanced degree, often combined with significant leadership experience. Familiarity with data warehousing, visualization tools (such as Tableau or Power BI), programming languages (like Python, R, or SQL), and certifications in data management or analytics (e.g., Certified Analytics Professional, CDMP) are highly valued. Exceptional communication, business acumen, and the ability to lead cross-functional teams are crucial soft skills for this position. These competencies are vital to drive data-driven decision-making, shape business strategy, and foster a culture of analytics maturity within the organization.

What is a VP Data & Analytics?

A VP of Data & Analytics is a senior executive responsible for overseeing an organization's data strategy, analytics initiatives, and data-driven decision-making. They lead data teams, implement data governance, and ensure the organization leverages data effectively to drive business growth. Their role typically involves collaborating with other executives, managing data infrastructure, and identifying opportunities for innovation through analytics.

What does a VP Data & Analytics do?

A VP of Data & Analytics oversees an organization’s data strategy, ensuring data collection, management, and analysis support business goals. They lead teams of data scientists and analysts, develop data-driven insights, and implement tools like data warehouses and analytics platforms. This role requires strong leadership, strategic thinking, and expertise in data management and analytics tools.
More about Vp Data Analytics jobs
What cities are hiring for Vp Data & Analytics jobs? Cities with the most Vp Data & Analytics job openings:
What are the most commonly searched types of Data & Analytics jobs? The most popular types of Data & Analytics jobs are:
What states have the most Vp Data & Analytics jobs? States with the most job openings for Vp Data & Analytics jobs include:
Infographic showing various Vp Data & Analytics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $81,518 per year, or $39.2 per hour.

First Vice President, Data Analytics

UOB

Central, LA • On-site

$120 - $160/hr

Other

Posted 4 days ago


Job description

## First Vice President, Data AnalyticsApplyremote type: Onsitelocations: Central Region (City Area)time type: Full timeposted on: Posted Todayjob requisition id: JR57642Company: 1011 United Overseas Bank Ltd **About UOB**United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices. Our history spans more than 80 years. Over this time, we have been guided by our values – Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers.**Job Description**The Wholesale Bank function operates a dynamic business model that provides financial services and solutions to help our clients achieve their strategic business objectives. Our mission is to become the premier-provider of banking services and solutions for Asia-based commercial banking companies (small medium enterprises), large corporations, financial institutions as well as multinational corporations. Our coverage teams work in full alignment with specialised teams across Transaction Banking, Investment Banking, Global Markets and Group Retail to deliver seamless solutions to our clients.**Job Responsibilities*** Lead large scale analytic projects in corporate space to drive for business impact with a focus on AFC/AML* Analyze macro and micro data (structured/less structured) to answer business questions via strategic analysis, machine learning/NLP models.* Coordinate with various internal and external business stakeholders to ensure smooth data-to-insights conversion and the necessary of the insights implementation**Job Requirements*** At least 7-10 years' solid data analytics/science experience, deep technical expertise on ML/NLP/OR, with hands-on capability, Python/SAS/R, Hadoop/Spark* Excellent problem solver, good understand of financial industry knowledge, consulting experience is a plus* Strong sense of responsibility and teamwork* Good communication and interpersonal skills to effectively interact with internal and external stakeholders of all levels## **Additional Requirements**Be a Part of the UOB FamilyUOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.Apply now and make a Difference #J-18808-Ljbffr