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Manager Data Analytics Engineer Jobs in Grapevine, TX

Predictive Analytics Engineer

Dallas, TX · On-site

$100K - $120K/yr

Opportunity for advancement Data Scientist / Predictive Analytics Engineer Location: Dallas, TX (Hybrid, 3 days onsite per week) Employment Type: Full-Time / Contract (W2) Duration: Long-Term Work ...

ABOUT THE ROLE Baker Botts is building its Enterprise Data Services team and is seeking an Analytics Engineer to help transform enterprise data into trusted, analytics-ready assets that support ...

Data Engineer

Dallas, TX · On-site

$55 - $60/hr

Analytics Engineer/Data Engineer Dallas, TX Hybrid: 3 days a week, 2 Days Remote $55-$60/hour - Depending on Experience 3 Month Contract to Hire - W-2 with Brooksource **U.S. Citizens and all other ...

... Engineers, Plant Managers, and operators to understand how production runs in real time ... Bachelor's Degree in Computer Science, Data Analytics, Engineering, or related field, with 1-2+ ...

Predictive Analytics Engineer

Dallas, TX · On-site

$100K - $120K/yr

Opportunity for advancement Data Scientist / Predictive Analytics Engineer Location: Dallas, TX (Hybrid, 3 days onsite per week) Employment Type: Full-Time / Contract (W2) Duration: Long-Term Work ...

Comfortable presenting to the business and upper management. Experience in deep dive analysis and ... one statistical programming language (R, SQL, SAS, and/or Python) Strong quantitative skills ...

Strong experience managing enterprise database platforms supporting operational and analytical ... Experience working within DevOps, DataOps, or agile delivery environments * Excellent communication ...

Senior Analytics Engineer

Dallas, TX · On-site

$103K - $142K/yr

POSITION SUMMARY As a Senior Analytics Engineer , you will serve as the technical leader ... Understanding of data governance, metadata management, and data privacy/compliance standards.

Showing results 41-60

Manager Data Analytics Engineer information

See Grapevine, TX salary details

$41.1K

$119.8K

$164K

How much do manager data analytics engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for manager data analytics engineer in Grapevine, TX is $119,842.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,800.00 and $127,000.00 per year, depending on experience, location, and employer.

What is a manager data analytics engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.

How does a manager data analytics engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

What are the key skills and qualifications needed to thrive as a manager data analytics engineer, and why are they important?

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

What are popular job titles related to Manager Data Analytics Engineer jobs in Grapevine, TX?

For Manager Data Analytics Engineer jobs in Grapevine, TX, the most frequently searched job titles are:

What job categories do people searching Manager Data Analytics Engineer jobs in Grapevine, TX look for?

The top searched job categories for Manager Data Analytics Engineer jobs in Grapevine, TX are:

What cities near Grapevine, TX are hiring for Manager Data Analytics Engineer jobs?

Cities near Grapevine, TX with the most Manager Data Analytics Engineer job openings:

Sr Manager Data Products, Analytics & Ai/ML

Aven Hospitality

Dallas, TX • On-site

$150 - $230/hr

Other

Medical, Dental, PTO

Posted 4 days ago


Key responsibilities

  • Define and drive the product roadmap for Data, Reporting, Analytics, and AI/ML capabilities.

  • Improve the usability of operational reporting to reduce failures, manual workarounds, support costs, and customer friction.

  • Drive self-service analytics by improving how customers access, analyze, personalize, visualize, and export data across the platform.


Job description

## Sr Manager Data Products, Analytics & Ai/MLApplylocations: Dallas-Fort Worth Metroplex: USA Remotetime type: Full timeposted on: Posted 3 Days Agojob requisition id: JR110142**Aven Hospitality** is an innovative technology provider powered by **SynXis,** the leading global hospitality commerce and distribution platform. We empower hoteliers around the world to exceed expectations, solve daily challenges, and stay ahead of the competition.With our comprehensive portfolio of solutions, hoteliers can manage distribution, retailing, payments, operations, and more. Providing hoteliers the tools to maximize revenue, improve operational efficiency, and deliver personalized guest experiences that drive satisfaction.Our tools are built to seamlessly integrate with each hotelier’s unique strategy, elevating guest satisfaction and creating meaningful connections.We are pioneering AI in hospitality technology to unlock new opportunities, drive efficiency, and personalize the guest experience. By prioritizing stability, scalability, and data-driven insights, we equip hoteliers to adapt and thrive in an ever-changing landscape, ready for whatever comes next..**Sr. Manager, Data Products, Analytics &****AI/ML****Role Summary*** This Senior Manager role drives the product strategy, roadmap, and execution for Aven Hospitality's Data, Reporting, Analytics, and AI/ML capabilities. The role partners with Product, Engineering, Innovation, and Data teams to help evolve a trusted and scalable analytics ecosystem, modernize operational reporting into a system of record, and advance analytics from dashboards into decision-driving, predictive, and AI/ML-assisted products.* A core mandate is to increase customer adoption and business value while identifying opportunities to monetize analytics, insights, and data-driven capabilities across the Aven platform. The role works closely with Commercial, Customer Success, and Product leaders to understand customer needs, validate opportunities, and deliver impactful analytics experiences that support measurable business outcomes.* Success in this role requires a strong understanding of modern data platforms, analytics products, business intelligence tooling, and emerging AI/ML capabilities. The ideal candidate combines product management expertise with technical fluency and can translate complex data and analytics concepts into compelling customer value propositions and business results.* The role is responsible for defining success metrics, measuring adoption and business outcomes, evaluating analytics platform and BI tooling investments, and helping guide analytics and AI/ML initiatives that improve customer experiences, drive platform adoption, and create long-term business value.**Portfolio*** **Operational Reporting:** Modernize and scale reporting to improve reliability, performance, and flexibility—establishing reporting as the operational system of record.* **Analytics & Insights:** Evolve dashboards into actionable insights, diagnostics, benchmarking, forecasting, and guided decision-making.* **AI/ML-Assisted Analytics:** Introduce AI/ML-assisted, predictive, generative AI/ML, conversational, and natural-language analytics capabilities to accelerate insight discovery, automate high-frequency questions, and improve decision-making.* **Data Platform & BI Strategy:** Shape the strategy for data platforms, semantic layers, business intelligence tooling, analytics architecture, and platform modernization to ensure scalability, usability, governance, and long-term business value.* **Data Governance, Security & Compliance:** Partner across teams to improve data quality, governance, privacy, security, and compliance capabilities that enable trusted analytics and responsible AI/ML innovation.**Responsibilities*** Define and drive the product roadmap for Data, Reporting, Analytics, and AI/ML capabilities.* Improve the usability of operational reporting to reduce failures, manual workarounds, support costs, and customer friction.* Drive self-service analytics by improving how customers access, analyze, personalize, visualize, and export data across the platform.* Establish clear separation between operational reporting, analytics, and insights—reducing over-reliance on reporting as a data extraction tool.* Define and validate priority analytics and AI/ML use cases to guide product, data, and platform investment decisions.* Develop and execute data and analytics monetization strategies, including premium reporting, benchmarking, diagnostics, recommendations, and AI/ML-driven insights.* Use analytics and AI/ML intentionally to increase adoption and usage of Aven products by helping customers optimize configuration, pricing, distribution, operations, and performance decisions.* Partner with Engineering, Innovation, UX, and Commercial teams to deliver scalable, differentiated, and monetizable analytics capabilities.* Evaluate and recommend data, analytics, reporting, business intelligence, and AI/ML technologies to ensure Aven's platform remains competitive, scalable, and aligned to customer needs.* Partner across teams to help shape the long-term direction for analytics, self-service reporting, business intelligence, data products, and AI/ML-powered insights, balancing customer demand, technical investment, and commercial opportunities.* Partner with Product Development and Architecture teams to influence data models, semantic layers, governance standards, platform modernization efforts, and future analytics capabilities.* Monitor industry trends and emerging technologies across data platforms, business intelligence, analytics, AI/ML, and Gen-AI/ML to identify opportunities for innovation and product differentiation.* Develop product requirements for AI/ML-assisted workflows, conversational analytics, anomaly detection, recommendations, forecasting, intelligent automation, and other insight-driven capabilities.* Define adoption, engagement, monetization, and customer outcome metrics and use those measures to prioritize future investments.* Partner with Engineering and Architecture teams to support modernization of Aven's analytics and data platform ecosystem, ensuring readiness for future AI/ML and advanced analytics use cases.* Collaborate with Security, Privacy, and Engineering teams to ensure analytics and AI/ML capabilities align with data governance, compliance, and responsible AI/ML principles.* Drive analytics and AI/ML capabilities that increase adoption, retention, and customer value across CRS, Booking Engine, Digital Marketing, Payments, Revenue Optimization, and future platform products.**What Success Looks Like*** Operational reporting is reliable, scalable, and trusted as the system of record.* Self-service analytics adoption increases while manual exports and reliance on external tools decline.* Analytics, benchmarking, and AI/ML-powered insights generate incremental revenue and improve customer retention.* Insights demonstrably influence customer decisions and increase adoption of Aven products and services.* A scalable and modern data platform supports rapid delivery of analytics, AI/ML-assisted experiences, and future innovations.* Customers view Aven's analytics capabilities as a differentiated reason to select, expand, and retain the platform.* Technology investments in BI, analytics, and AI/ML demonstrably improve customer outcomes, product adoption, and business performance.* Analytics and AI/ML capabilities increase the adoption of CRS, Booking Engine, Payments, Digital Marketing, and other strategic platform products.* Data governance, quality, privacy, and compliance capabilities enable trusted and scalable analytics across the platform.**Ideal Background*** 8–12 years of experience in Product Management, Analytics, Data Platforms, Business Intelligence, or AI/ML-enabled products.* Proven success building, modernizing, or scaling analytics, reporting, data platform, or business intelligence products in B2B SaaS environments.* Experience owning complex cross-functional initiatives involving Product, Engineering, Data, UX, and Commercial stakeholders.* Demonstrated success monetizing analytics, data-driven products, or premium insight offerings.* Strong understanding of data foundations, cloud data platforms, analytics architectures, semantic layers, and modern business intelligence ecosystems.* Experience with technologies such as Snowflake, Databricks, Looker, Tableau, Power BI, Sigma, Databuildtool, and Microsoft Fabric* Proven ability to evaluate and influence analytics platform, BI tooling, and AI/ML investment decisions.* Experience defining and delivering AI/ML-assisted or data-driven product experiences, including conversational analytics, recommendations, forecasting, or predictive insights.* Strong product management fundamentals, including customer discovery, roadmap development, prioritization, business case development, and go-to-market execution.* Track record of improving usability, self-service adoption, customer engagement, and measurable business outcomes.* Ability to communicate effectively with technical teams, executive stakeholders, customers, and prospects.* Experience building or managing analytics, data platforms, business intelligence, or AI/ML-enabled products used by enterprise customers.**Outstanding Benefits*** Very competitive compensation* Generous Paid Time Off (25 PTO days)* 8 Hours of Volunteer Time Off (VTO)* We offer a comprehensive medical, dental and Wellness Program* 12 weeks paid parental leave* An infrastructure that allows flexible working arrangements* Formal and informal reward, recognition and acknowledgement programs* Lots of fun and engaging employee development events**Reasonable Accommodation**Aven Hospitality is committed to working with and providing reasonable accommodation to applicants with disabilities. Applicants applying for a Aven Hospitality position with a disability who require a reasonable accommodation for any part of the application or hiring process may contact Aven Hospitality at Contact UsDeterminations on requests for reasonable accommodation will be made on a case-by-case basis.**Affirmative Action**Aven Hospitality is an equal employment opportunity/affirmative action employer and is committed to providing employment opportunities to minorities, females, veterans and disabled individuals. EEO IS THE LAW#LI-Hybrid#LI-TJ1 #J-18808-Ljbffr