DATA & AI RECRUITING AGENCY DALLAS

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Key Responsibilities

Infrastructure Design

• Develop physical and logical layouts for data center infrastructure, including racks, cabling, power, and cooling systems.
• Evaluate and integrate emerging technologies to optimize infrastructure performance and scalability.

Capacity Planning & Optimization

• Monitor current usage and forecast future needs to ensure proactive scaling and resource planning.
• Identify areas for operational efficiency in energy use, airflow, and system performance.

Security & Compliance

• Implement physical and cybersecurity best practices to safeguard infrastructure assets.
• Ensure compliance with corporate, industry, and regulatory standards.

Vendor & Stakeholder Coordination

• Oversee relationships with equipment suppliers, service providers, and contractors to ensure timely and compliant delivery of infrastructure components.
• Collaborate closely with internal Server, Storage, and Networking teams to align on goals and execution.

Project & Team Leadership

• Lead end-to-end data center projects, including planning, budgeting, and execution oversight.
• Provide mentorship and technical guidance to IT infrastructure staff.
• Drive initiatives in virtualization, automation, and modernization.

What We’re Looking For

• Minimum 5 years of experience in data center architecture at scale.
• Deep technical knowledge in networking, compute, storage, power, and HVAC.
• Proven experience designing, documenting, and implementing robust data center solutions.
• Demonstrated success leading multiple full-scale data center rollouts.
• Strong project management skills with an ability to deliver on tight timelines and budgets.
• Effective communication skills across technical and non-technical audiences.
• Experience working in or with large-scale tech companies or cloud providers (e.g., AWS, Azure, GCP) is highly desirable.
• Certifications in data center design or infrastructure (e.g., CDCP, CDCS, DCD) are a plus.

Ideal Background

We’re particularly interested in candidates who have:

• Designed and implemented data centers for hyperscale environments.
• Worked with companies specializing in data center build-outs.
• A background in cloud infrastructure design or hybrid data center strategy.

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LEAD DATA SCIENTIST (Future Team Lead/Manager)

REMOTE – US

$180,000 – $200,000 BASE SALARY

ABOUT THE COMPANY

We’re a global technology-driven education company helping institutions bring programs online and supporting students from enrollment through completion.

ABOUT THE ROLE

We’re seeking a Data Scientist to drive impact on enrollment and retention through projects like churn prediction, lead scoring, attribution, and media mix modeling. You’ll start as an individual contributor with a clear path to step into a Team Lead/Manager role within 6 months.

RESPONSIBILITIES

• Lead data science projects in marketing (lead scoring, churn prediction, attribution, segmentation, MMM, digital ads optimization)
• Collaborate with marketing stakeholders to turn business needs into data-driven solutions
• Build, test, and deploy predictive models that deliver clear business outcomes
• Communicate project results and impact effectively to non-technical audiences

TECH/TOOLS:

• Languages: Python, SQL
• Cloud & Tools: Databricks & AWS, GCP or Azure
• Focus Areas: Marketing attribution, customer segmentation, predictive modeling

What We’re Looking For

• 7-10 years of experience in Data Science or Analytics Data Science
• Proven expertise in marketing-focused data science (MMM, attribution, segmentation, ad performance)
• Strong track record of demonstrating business impact in past projects
• Excellent communication skills to translate insights into business terms
• Leadership potential – comfortable starting as an IC but eager to grow into management

Why You’ll Love It Here

This is a rare opportunity to combine hands-on data science work with a clear growth path into leadership. You’ll join a mission-driven EdTech company making higher education more accessible while shaping the future of a growing data science team. Your work will directly influence student success at scale.

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To Apply for this Job Click Here

Security Engineering Manager – Global Enterprise

We are seeking a detailed and results-oriented leader to join our global Information Technology team as a Security Engineering Manager. This role is critical to the success of our cybersecurity program, with responsibility for leadership, strategy, and execution of security engineering services and our cybersecurity tool stack.

Key Responsibilities

• Define and execute the vision, strategy, and roadmap for security architecture and engineering across the enterprise, leveraging leading frameworks such as NIST and implementing Zero Trust principles for robust perimeter-less security.
• Partner with cross-functional and platform teams to embed security-by-design, least privilege, and defense-in-depth principles into solutions and the development lifecycle, ensuring integration of SAST and DAST tools for continuous secure code reviews and vulnerability detection.
• Oversee the delivery, integration, and optimization of the enterprise security architecture and tool stack, including next-generation SIEM platforms and technologies such as Splunk for real-time threat monitoring and advanced analytics.
• Champion and automate incident response and security operations using SOAR solutions to streamline threat detection, remediation workflows, and playbook execution.
• Drive continuous improvement of security processes, governance, methodologies, and tools, emphasizing cloud-native protections and best practices for AWS environments.
• Translate business risks into scalable, practical security solutions that exceed policy mandates and regulatory requirements, leveraging insights from SIEM and SOAR data.
• Recruit, coach, and scale a high-performing team of security engineers, providing both strategic and tactical oversight in modern enterprise environments.
• Leverage data-driven approaches and security KPIs-sourced from SIEM/Splunk, code analysis reports, automated SOAR outputs, and AWS metrics-to monitor and strengthen organizational security posture.

What Will Set You Apart

• Passion for cybersecurity and solving complex problems using innovative techniques and modern automation (SOAR, Zero Trust, cloud security).
• Proven track record in designing and implementing secure architectures for enterprise applications, networks, security platforms, and AWS cloud deployments.
• Expertise in integrating and managing SIEM technologies, specifically Splunk, for monitoring, dashboarding, and advanced threat analytics.
• Advanced knowledge of NIST Cybersecurity Framework (CSF), securing cloud environments (AWS), and experience implementing Zero Trust architectures.
• Hands-on experience with secure code analysis tools and methodologies, including SAST and DAST, and integrating these into CI/CD pipelines.
• Advanced experience with DevSecOps practices, automating security workflows using SOAR platforms, and embedding security in agile development lifecycles.
• Strong communication skills for breaking down complex technical concepts, threat intelligence, and incident reports for technical and non-technical stakeholders.
• Deep understanding of regulatory and compliance requirements (PCI DSS, GDPR, SOX), threat modeling, and defending against advanced persistent threat groups.

Requirements

• Bachelor’s degree in Computer Science, Cybersecurity, or a related technical field.
• 5+ years of hands-on experience designing and delivering innovative security solutions, including SIEM (e.g., Splunk), AWS cloud, and security automation (SOAR).
• 3+ years leading security engineering/operational teams with demonstrated success integrating security tooling such as SAST, DAST, and SIEM.
• Experience collaborating cross-functionally, communicating risks, supporting a Zero Trust approach, and setting security priorities informed by frameworks like NIST.
• Demonstrated commitment to high ethical standards, regulatory compliance, and business integrity across hybrid/multicloud environments.

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The Role

We’re hiring a Director of Data Architecture & Governance to build the foundation of enterprise data across a complex, multi-system environment. This is a highly strategic, hands-on leadership role. You’ll define the data architecture, implement governance standards, and ensure trusted, compliant data flows across core business systems-spanning finance, operations, HR, and more.

This is the right role for someone who’s led data strategy at scale and is ready to take ownership of a company-wide transformation.

This role does not provide sponsorship and being on-site in San Antonio is non-negotiable

What You’ll Do

• Architect and maintain enterprise data systems including data lakes, warehouses, and real-time pipelines
• Define and enforce data governance policies across business-critical systems (POS, HRIS, finance, supply chain, etc.)
• Standardize metadata, master data, lineage, and stewardship practices across the organization
• Select and implement tools for data cataloging, access control, and classification
• Partner with Legal, IT, HR, and Operations to ensure responsible and compliant data usage
• Lead data quality efforts including validation, cleansing, and auditing
• Serve as a strategic advisor to executive leadership on data infrastructure, risk, and scalability

What We’re Looking For

• 8+ years of experience in data architecture, governance, or enterprise data management
• Proven ability to design scalable, cloud-based data systems (e.g., AWS, GCP, Snowflake)
• Experience with governance frameworks (e.g., DAMA, DMBOK) and compliance requirements (e.g., CCPA, PCI)
• Familiarity with ETL tools, metadata platforms, and data security standards
• Strong leadership, documentation, and cross-functional communication skills
• A systems thinker with a passion for building clean, scala

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Director of Analytics & Data Science

Semiconductors / Digital Commerce Transformation

Dallas, TX (On-site, 5 days per week – Headquarters)

$300,000 Base Salary + Bonus + Equity

Company Overview

Our client, a global leader in semiconductor technology, is hiring a Director of Analytics & Data Science to lead the evolution of its digital platforms. This is a high-visibility role, driving personalization, intelligent product discovery, and data-driven customer experiences for a worldwide B2B customer base.

About the Role

This position oversees the design and delivery of identity resolution, e-commerce optimization, and product search capabilities across large-scale digital platforms. The successful candidate will combine deep technical expertise with strong leadership skills to modernize infrastructure, leverage AI/ML, and ensure customers can seamlessly find and engage with complex product portfolios.

Key Responsibilities

• Define and deliver the strategy for customer identity resolution and session continuity across global digital properties.

• Oversee the integration of diverse data sources into unified platforms that power personalization, recommendation engines, and product discovery.

• Direct the development of advanced search and filtering capabilities to support complex product catalogs and technical buying journeys.

• Establish frameworks for first-party data collection, consent management, and compliance with privacy regulations (e.g., GDPR, CCPA).

• Lead the build-out of scalable data pipelines for product catalog ingestion, enrichment, and classification to improve accuracy and discoverability.

• Implement analytics frameworks to measure customer behavior, optimize search performance, and inform digital strategy.

• Guide the adoption of AI/ML approaches to enhance search ranking, recommendations, and real-time personalization.

• Manage and develop a multidisciplinary team of 50-60 engineers, analysts, and architects, while collaborating closely with product, marketing, and UX stakeholders.

Requirements

• 10+ years in data, digital platforms, or analytics leadership, with recent Director-level experience.

• Proven expertise in customer identity systems, personalization, and real-time segmentation.

• Experience with large-scale e-commerce, catalog management, and digital experience platforms.

• Hands-on familiarity with cloud infrastructure, APIs, and modern data tools.

• Strong knowledge of search and discovery systems, ideally for complex technical products.

• Track record of leading large cross-functional teams in high-scale environments.

• Degree in Computer Science, Engineering, or related field; advanced degree preferred.

Preferred

• Experience applying AI/ML to product ranking, recommendations, or personalization.

• Knowledge of identity management (SSO, CIAM) and global privacy regulations.

Additional Details

• Requires occasional international travel (approx. twice annually).

• Significant opportunity to shape digital strategy with visibility at the executive level.

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