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Data Intelligence Jobs in Dallas, TX (NOW HIRING)

HW Media

Strategic Enterprise Account Executive

Dallas, TX · On-site

$175K - $200K/yr

Through journalism, market data, events, and HousingWire Intelligence, we help housing leaders make better decisions, faster. We are seeking a Strategic Enterprise Account Executive to help grow ...

HW Media

Strategic Enterprise Account Executive

Dallas, TX · On-site +1

$175K - $200K/yr

Through journalism, market data, events, and HousingWire Intelligence, we help housing leaders make better decisions, faster. We are seeking a Strategic Enterprise Account Executive to help grow ...

Scalence L.L.C.

ATM Architecture

Plano, TX · On-site

Data Intelligence, Business Resilience, and Digital Experience. Founded in , the company is headquartered in Morristown, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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Data Intelligence information

See Dallas, TX salary details

$78.6K

$131.3K

$176.6K

How much do data intelligence jobs pay per year?

As of Aug 6, 2026, the average yearly pay for data intelligence in Dallas, TX is $131,284.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,200.00 and $144,900.00 per year, depending on experience, location, and employer.

What is a data intelligence?

A Data Intelligence job involves collecting, analyzing, and interpreting data to support decision-making and business strategy. Professionals in this field use various tools and techniques, including data mining, machine learning, and visualization, to uncover insights and trends. They work closely with stakeholders to translate data into actionable recommendations, improving efficiency and innovation. Roles may vary from data analysts to data scientists, depending on the organization's needs and complexity.

What are the typical daily responsibilities of a data intelligence professional?

A Data Intelligence professional typically spends their workday collecting, processing, and analyzing large datasets to uncover trends and actionable insights. They often collaborate with cross-functional teams, such as business analysts, product managers, or IT professionals, to define data requirements and support ongoing projects. Additional responsibilities may include creating dashboards or reports, ensuring data accuracy and integrity, and communicating findings to both technical and non-technical stakeholders. Frequent problem-solving, adapting to shifting priorities, and keeping up with the latest analytical tools are also common aspects of the role.

What are the key skills and qualifications needed to thrive in the data intelligence position, and why are they important?

To thrive in Data Intelligence, you need strong analytical skills, a solid understanding of data science principles, and a background in fields such as statistics, computer science, or information systems. Familiarity with tools like SQL, Python, Tableau, and experience with data warehousing and business intelligence platforms are highly valuable, as are certifications such as Certified Analytics Professional (CAP) or related credentials. Excellent problem-solving abilities, effective communication, and a collaborative mindset help drive actionable insights from complex datasets. These skills are essential for translating raw data into meaningful intelligence that guides business strategy and decision-making.

What are popular job titles related to Data Intelligence jobs in Dallas, TX? For Data Intelligence jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Data Intelligence jobs in Dallas, TX look for? The top searched job categories for Data Intelligence jobs in Dallas, TX are:
Data Intelligence jobs near you
Infographic showing various Data Intelligence job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $131,284 per year, or $63.1 per hour.

Vice President Product Manager - Data Management

JPMorgan Chase & Co

Plano, TX • On-site

Full-time

Medical, Retirement

This job post has expired today. Applications are no longer accepted.

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 492 frontline employees who took The Breakroom Quiz

73rd of 170 rated banks

Job description

You enjoy shaping the future of product innovation as a core leader, driving value for customers, guiding successful launches, and exceeding expectations. Join our dynamic team and make a meaningful impact by delivering high-quality products that resonate with clients. Lead strategic initiatives to optimize operations and elevate customer experience through data insights and strong leadership
As a Vice President Product Manager - Data Management within the Consumer & Community Banking Data & Analytics team, you are an integral part of the team that innovates new product offerings and leads the end-to-end product life cycle. As a core leader, you are responsible for acting as the voice of the customer and developing profitable products that provide customer value. Utilizing your deep understanding of how to get a product off the ground, you guide the successful launch of products, gather crucial feedback, and ensure top-tier client experiences. With a strong commitment to scalability, resiliency, and stability, you collaborate closely with cross-functional teams to deliver high-quality products that exceed customer expectations.  You will help lead Data State Intelligence (DSI) - a strategic intelligence layer that provides centralized, cross-platform visibility into data readiness, data state, data usage, cost transparency, and data quality across the Consumer & Community Banking data ecosystem.

Job responsibilities
  • Develops a product strategy and product vision that delivers value to customers
  • Manages discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap
  • Owns, maintains, and develops a product backlog that enables development to support the overall strategic roadmap and value proposition
  • Builds the framework and tracks the product's key success metrics such as cost, feature and functionality, risk posture, and reliability
  • Own the product roadmap, vision, execution, risk management, and performance outcomes for the platform. Manage the full product lifecycle by setting strategy, translating customer needs into prioritized capabilities, and continuously adapting the roadmap to deliver business outcomes. Coach and mentor product teams on best practices including solution generation, market research, storyboarding, prototyping, and product delivery.
  • Be accountable for product performance by investing in enhancements and addressing barriers that limit adoption, usability, and operational scalability. Monitor market trends, conduct competitive analysis, and identify opportunities to differentiate through modern data observability, cloud-native data ecosystems, and cost intelligence practices.
  • Define and drive strategic capabilities spanning data observability, cost transparency, data state tracking, usage analytics, and centralized metrics aggregation to deliver holistic data intelligence at scale. Lead development of core capabilities including data readiness observability, state-based lifecycle tracking, centralized alerting, cost attribution models, and AI-driven conversational experiences.
  • Drive self-service intelligence experiences that enable stakeholders to proactively assess and act on data readiness, cost, and operational signals through unified dashboards and AI-driven conversational interfaces.
  • Build AI-driven intuitive conversational experiences that enable users to explore data insights, ask questions in natural language, and act on intelligence through guided, interactive dialogue.
  • Drive cross-platform integration by partnering with data platforms, pipeline infrastructure, and governance teams to ensure reliable metrics availability, consistent telemetry standards, and signal correlation.
  • Connect data-state signals to customer, financial, and risk outcomes to drive business-impact intelligence and informed decision-making across the organization.
 
Required qualifications, capabilities, and skills
  • 5+ years of experience or equivalent expertise in product management or a relevant domain area
  • Advanced knowledge of the product development life cycle, design, and data analytics
  • Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management
  • 5+ years of experience or equivalent expertise delivering products, projects, or technology applications. Extensive knowledge of the product development lifecycle, technical design, and data analytics
  • Ability to drive adoption of product lifecycle activities including discovery, ideation, strategic development, requirements definition, and value management
  • Experience driving change and managing stakeholders across multiple functions. Experience partnering with compliance, security, and governance stakeholders
  • Executive-level product management capability within a large organization, including strong strategic thinking and crisp product communication
  • Proven experience owning data observability, data intelligence, or similar cross-platform data products that aggregate signals across distributed systems. Strong grasp of data architecture principles including APIs, streaming, batch, lineage, data state modeling, and signal correlation patterns
  • Deep understanding of multi-cloud data ecosystems, including platforms such as AWS, Databricks, and Snowflake
  • Foundational understanding of AI/ML concepts including large language models, natural language processing, and conversational AI, with the ability to translate AI capabilities into user-centric product experiences
  • Familiarity with design tools such as Figma and rapid prototyping techniques to effectively collaborate with design teams and iterate on product concepts
 
Preferred qualifications, capabilities, and skills
  • Demonstrated prior experience working in a highly matrixed, complex organization
  • Advanced degree in a related field (e.g., Computer Science, Business Administration)
  • Familiarity with AI/ML integration for anomaly detection, intelligent alerting, and predictive data-state analytics
  • Strong stakeholder management and executive communication skills, including experience presenting to C-level audiences
  • Experience designing unified platform experiences that bridge technical depth and business accessibility and with modern data observability and intelligence platforms
  • Familiarity with data state concepts, event-driven architectures, and near real-time data processing frameworks
  • Experience defining responsible AI practices including managing bias, ensuring explainability, and addressing hallucination risks in AI-driven product experiences
  • Familiarity with prompt engineering, conversational design patterns, and feedback-loop mechanisms for continuously improving AI-powered features

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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