Develop and communicate data-driven and actionable insights to inform launch & go-to market strategies and meet commercial objectives within the DHH US & Global Market Engagement Team.
Locations (4)
North Wales, Pennsylvania, United States
San Francisco, California, United States
Los Angeles, California, United States
Rahway, New Jersey, United States
Compensation
The salary range for the primary location of this role is: $129,000.00 - $203,100.00
Responsibilities
Translate business needs and priorities to build analytical plans that answer business questions by providing actionable insights
Communicate & collaborate effectively with cross functional teams
Stay current with industry trends and advancements in analytical methodologies (including GenAI)
Contribute to innovative experiments for idea generation and incubation
Derive actionable business insights from various data sources and develop clear data story
Requirements
BS (or equivalent) in Data Science, Mathematics, Economics, Computer Science, Statistics, Decision Science, Marketing, Engineering, Public Health, or equivalent scientific/ commercial discipline
Job Title: Data Engineer – Databricks
Client: Infosys / State Street
Location: Boston, MA
Job Description:
We are looking for an experienced Data Engineer with strong Databricks expertise to design, develop, and maintain data pipelines and scalable data solutions. The candidate should have experience in data processing, transformation, and integration.
Key Skills:
Databricks
Python / PySpark
SQL
Data Engineering
ETL / ELT Pipelines
Data Transformation
Data Integration
Lead global product strategy for AI‑driven laboratory automation and workflows, shaping digital backbone of research labs and architecting autonomous, closed‑loop labs.
Compensation
The expected salary range for this position based on the primary location of CA is 170,200-$316,000. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance.
Responsibilities
Own multi‑year product vision, strategy, and roadmap for AI‑orchestrated laboratory workflows and automation globally
Identify high‑value opportunities where AI, intelligent automation, optimization, and agentic capabilities can improve experiment planning, laboratory execution, scientific throughput, and researcher experience
Partner closely with scientists and laboratory teams to understand existing workflows and determine where automation, AI, or workflow redesign can remove bottlenecks and improve experimental outcomes
Guide emerging capabilities—including experiment planning, intelligent scheduling, agentic execution, and anomaly detection—from prototype to production‑scale scientific adoption
Lead multidisciplinary global teams spanning product, scientific SMEs, AI/ML, software and data engineering, automation engineering, UX, laboratory operations, security, quality, and external vendors
Requirements
Advanced degree (Master’s or Ph.D.) in Life Sciences, Bioengineering, Robotics, Computer Science, AI/ML, or an adjacent quantitative discipline
Drive the adoption of AI-assisted engineering and intelligent automation across the enterprise data platform, focusing on defining and executing an AI-first Data Engineering strategy.
Responsibilities
Define and execute the AI-enabled Data Engineering strategy to improve engineering velocity, quality, reliability, scalability and operational efficiency.
Identify, assess and prioritize high-value AI and automation use cases across Data Engineering, Data Warehouse and BI teams.
Develop reusable patterns and accelerators for introducing AI into existing Data Engineering and platform operations.
Build an AI-first engineering culture by adopting driving, enablement, governance and measurable engineering outcomes.
Lead adoption of GitHub Copilot, Snowflake Cortex and Databricks Genie to accelerate engineering activities and improve developer productivity.
Lead the design, development, and operation of high‑scale Java services and AI‑enabled data pipelines for Amazon Ads’ central data lake, Spektr, ensuring 99%+ availability and rapid deployment through CI/CD automation.
Compensation
USA, WA, SEATTLE - 168,100.00 - 227,400.00 USD annually
Responsibilities
Design, code and deploy micro‑services for the core job management pipeline
Ensure testability, maintainability and low operational footprint for your code
Participate in operational responsibilities with your team
Innovate on AWS technology to improve latency, reduce cost and operations
Engage with key decision makers such as Product & Program Managers to understand customer requirements and brainstorm on solutions
Requirements
Bachelor's degree in computer science or equivalent
Architect, scale, and own the technical roadmap for the platforms that drive IREN’s global data center footprint, bridging complex supply chain business processes (Demand Planning, Capacity Forecasting, MRP, S&OP) with cutting-edge software and data systems.
Compensation
The expected base salary for this role USD $290,000-$330,000/annum. Total Compensation package may be inclusive of annual incentive bonus, equity (long-term incentive).
Responsibilities
Define the end-to-end technical architecture and data strategy for IREN’s proprietary and integrated supply chain planning platforms, and own the technical roadmap for them.
Translate supply chain business problems into scalable software requirements and technical roadmaps.
Lead the integration of Enterprise Resource Planning (ERP) and Supply Chain Planning (SCP) systems (for example SAP and Oracle) with bespoke internal microservices and telemetry data.
Oversee the design and optimization of high-throughput distributed data pipelines, both batch and real-time streaming.
Partner with Data Science to deploy machine learning and advanced analytics models for component-level demand forecasting, lead-time anomaly detection and buffer stock optimization.
Requirements
Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Systems, Operations Research, Data Science, Supply Chain Management, Engineering or a related quantitative field
MBA or advanced degree preferred
Technical Program Manager - AI/ML & Software Delivery
Lead the planning, execution, and delivery of AI/ML and enterprise software development activities supporting Government-approved investigative workflows within the existing AI environment.
Responsibilities
Lead the planning, execution, and delivery of AI/ML and enterprise software development activities supporting Government-approved investigative workflows within the existing AI environment.
Manage a multidisciplinary technical team of AI architects, AI engineers, and data engineers, coordinating technical execution, staffing, schedules, priorities, and delivery commitments.
Develop and maintain integrated program plans, schedules, technical backlogs, staffing plans, quality management plans, risk registers, and delivery roadmaps aligned with contract requirements and Government priorities.
Oversee the full software delivery lifecycle, including requirements analysis, architecture and design reviews, Agile development, integration, testing, deployment, Government acceptance, and sustainment.
Lead Agile planning activities, technical exchange meetings, sprint reviews, demonstrations, and recurring program status reviews to monitor progress and resolve delivery challenges.
Requirements
Bachelor's degree in Computer Science, Information Technology, Engineering, Business Administration, Project Management, or a related field, or equivalent relevant professional experience.
Nice to have: Project Management Professional (PMP)
Design, develop, support, and optimize enterprise data integration solutions that enable the movement, transformation, and delivery of data across business systems.
Compensation
The potential base pay hiring range for this role is $73,500 to $105,600 yearly.
Responsibilities
Design, develop, test, deploy, and support ETL/ELT processes and data integration solutions.
Build and maintain data pipelines that ingest information from internal applications, vendors, APIs, and third‑party financial systems.
Develop reusable integration frameworks and patterns to improve scalability and maintainability.
Support batch, near real‑time, and event‑driven data integration architectures.
Troubleshoot and resolve data flow, performance, and reliability issues.
Requirements
Bachelor's degree in Computer Science or related field
Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
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