Empowering organizations to take a data-first approach to decision making.
Establish processes to make faster, insightful decisions to help you stay above the competition.

ShyftLabs

Browse and apply for open jobs at ShyftLabs.

chief-technology-officer

ShyftLabs is a company that specializes in delivering data and AI solutions to enterprises. They offer a range of services, including consulting, prototyping, solutions, platform scaling, and operations to help businesses navigate their data journey and leverage AI for transformative impact. ShyftLabs focuses on empowering organizations with advanced data analytics, AI capabilities, and secure data infrastructure to drive real value and optimize operations across the enterprise. They partner with clients throughout the entire lifecycle of data and AI needs, ensuring efficient and impactful integration of AI solutions into existing workflows. With expertise in cloud platform services and a commitment to secure, optimal performance, ShyftLabs delivers tailored solutions for strategic data and AI transformation.

Empowering organizations to take a data-first approach to decision making. Establish processes to make faster, insightful decisions to help you stay above the competition.

• Direct, plan, and oversee the company’s overall operations by leading and coordinating middle managers across all functions.
• Establish and implement strategic policies that guide the company’s vision, ensuring alignment with ShyftLabs’ mission to deliver data-driven, AI-powered solutions for its clients.
• Approve the creation and structuring of key departments, defining senior leadership roles and ensuring organizational alignment with corporate strategy.
• Define the long-term vision and growth strategy of the company, leading the development and execution of critical programs, initiatives, and operational frameworks.
• Allocate and manage financial, human, and technological resources to support business objectives, operational efficiency, and sustainable growth.
• Oversee talent acquisition, workforce planning, and leadership development to build and retain a highly skilled team of professionals in data science, engineering, and consulting.
• Lead the appointment, evaluation, and development of middle and senior managers to ensure operational excellence and alignment with company goals.
• Foster collaboration and integration across departments and business units, ensuring unified execution of projects and delivery of services to global clients.
• Represent ShyftLabs in high-level negotiations, partnerships, and official events, safeguarding the company’s interests and strengthening its market presence.
• Drive innovation by monitoring global technology trends, emerging data solutions, and industry best practices to maintain ShyftLabs’ competitive advantage.
• Develop and implement strategies to improve operational efficiency, reduce costs, and enhance the quality of services delivered to clients.
• Introduce and lead sustainability and ethical AI initiatives, ensuring responsible innovation, data governance, and compliance with evolving industry standards.
• Establish performance measurement systems and key performance indicators (KPIs) to evaluate operational effectiveness, client satisfaction, and financial performance.
• Monitor financial performance, analyze operating costs, and implement strategies to optimize profitability and efficiency.
• Ensure the adoption and integration of cutting-edge data platforms, software tools, and digital systems to enhance accuracy, scalability, and innovation in service delivery.
• Allocate material, human, and financial resources to execute organizational policies, programs, and long-term initiatives.
• Authorize and structure the establishment of major departments, including hiring and appointing senior leadership roles.
• Establish organizational objectives and formulate or approve policies, programs, and technology roadmaps that support overall business strategy.
• Represent the organization or appoint delegates in negotiations, strategic partnerships, regulatory discussions, and other official functions.
• Select and empower middle managers, directors, and executive technical staff, ensuring clarity in responsibilities, decision-making authority, and success metrics.
• Plan, organize, direct, control, and evaluate daily technology operations, ensuring reliability, scalability, compliance, and alignment to business outcomes.
• Champion engineering excellence, modernization, and innovation across all technical teams.
• Ensure the organization maintains strong security, data governance, and compliance standards, suitable for enterprise-level clients and partnerships.
• Build a high-performance culture rooted in collaboration, accountability, and continuous improvement.

Chief Technology Officer

Chief Technology Officer at ShyftLabs driving technical vision for Fortune 500 solutions and leading innovation efforts.

data-engineer

• Own the technical vision and architecture for the Unified Customer Data Mart, ensuring solutions are scalable, secure, compliant, and aligned with enterprise standards.
• Design and implement end-to-end data architectures of data pipelines, including raw data ingestion (Bronze), data cleaning and standardization (Silver), and curated data marts (Gold) that serve CDP, reporting, and activation use cases.
• Define and evolve data modeling standards for customer data, including customer dimensions, transaction facts, engagement events, web behavior, support interactions, and loyalty activity.
• Decomposing complex business requirements into structured technical solutions and driving alignment with client stakeholders.
• Formulate, compare, and present multiple architectural approaches for data ingestion, transformation, identity resolution, and consumption patterns, guiding clients and internal teams toward optimal long-term solutions that balance speed, maintainability, and scalability.
• Architect and build production-grade data pipelines using DBT and Airflow that support customer analytics, segmentation and reporting at scale.
• Partner directly with client stakeholders to understand business objectives, translate customer journey requirements into robust technical designs, and act as a trusted technical advisor on data architecture decisions.
• Lead and mentor cross-functional teams, including Analytics Engineers, Data Engineers, and BI developers, setting a high bar for technical quality, code review standards, and documentation practices.
• Influence and contribute to data governance initiatives, including PII handling, data quality frameworks, identity resolution strategies, and platform reliability.

Data Architect

Data Architect leading the design of a Customer Data Mart at ShyftLabs for Fortune 500 AI solutions. Collaborating with teams to implement scalable, secure, and modern data architectures.

research-scientist

• Conduct applied research to solve real-world problems using LLMs, graph-based models, and multimodal AI.
• Rapidly understand problem context, constraints, and success metrics, and design pragmatic AI solutions aligned with product and business goals.
• Design hybrid AI architectures combining knowledge graphs, vector search, and deep learning for reasoning-aware systems.
• Research and implement graph embeddings, graph attention networks (GATs), and graph neural networks (GNNs) for representation learning and inference.
• Design and build advanced RAG systems at scale, going beyond naïve vector similarity search.
• Implement hybrid semantic retrieval across vector stores and graph databases (e.g., entity-aware retrieval, path-based reasoning, graph-augmented RAG).
• Optimize retrieval pipelines for latency, relevance, grounding, and explainability in production environments.
• Fine-tune LLMs and embedding models for domain-specific tasks (instruction tuning, adapters, LoRA, etc.).
• Design and implement LLM agent systems, including multi-agent orchestration strategies, tool use, planning, and memory.
• Evaluate, iterate, and optimize agent architectures to solve complex, multi-step enterprise workflows efficiently.
• Build and fine-tune document extraction pipelines, including (OCR systems, Layout-aware models, Vision-Language Models (VLMs), Multimodal document understanding and classification).
• Design scalable pipelines for enterprise document ingestion, enrichment, indexing, and retrieval.
• Build end-to-end AI pipelines covering data ingestion, feature engineering, training, evaluation, deployment, and monitoring.
• Partner with platform and data engineering teams to productionize solutions on AWS or GCP.
• Monitor model performance, detect drift, and drive continuous improvement strategies.
• Design evaluation frameworks, offline metrics, and online experimentation (A/B testing) to measure real-world impact.

Applied Scientist

Applied Scientist leveraging applied research to design production AI systems for Fortune 500 companies. Focusing on knowledge-centric AI, graph-based learning, and advanced RAG architectures.

ShyftLabs

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Chief Technology Officer

ShyftLabs

Data Architect

ShyftLabs

Applied Scientist

ShyftLabs