Lead Extended Workforce Program Manager Jobs

This is an exciting opportunity to lead and grow the Data Science and Bioinformatics function supporting Natera's Women's Health and Organ Health product portfolios. In this role, you will build the bioinformatics capability within the Data Science development team, establish scalable AWS cloud infrastructure, and ensure the quality and reproducibility of the genomic algorithms powering our clinical products. PRIMARY RESPONSIBILITIES: Strategy and Vision Build and define the Bioinformatics function within the Data Science development team, identify technical tooling gaps, and execute a roadmap to advance genomics-based algorithm development. Establish and enforce pipeline and algorithm quality standards, including review processes, validation frameworks, and documentation practices Infrastructure and Automation Own and architect scalable AWS-based data science and bioinformatics infrastructure, ensuring quality, reproducibility, and reliable deployment of Next-Generation Sequencing (NGS) algorithms. Implement MLOps tooling and automated validation frameworks to support reliable algorithm deployment into clinical production. Cross-Functional Collaboration Partner with Research, Product Development, Laboratory Operations, Engineering, and Quality teams to implement stable, scalable pipelines and support successful productization Team Leadership Lead, mentor and hire a high-performing team of bioinformaticians and data scientists, establishing technical quality standards and clear operational ownership. Build technical depth within the team to support expanding product roadmaps across Women's Health and Organ Health. QUALIFICATIONS: Master of Science or Ph.D. in a quantitative technical discipline (Biostatistics, Bioinformatics, Computer Science, Physics, Applied Mathematics, or equivalent). Minimum of 10 years of experience in Data Science or Bioinformatics, with at least 5 years of direct people management experience leading technical teams. Hands-on experience archi

This is an exciting opportunity to lead and grow the Data Science and Bioinformatics function supporting Natera's Women's Health and Organ Health product portfolios. In this role, you will build the bioinformatics capability within the Data Science development team, establish scalable AWS cloud infrastructure, and ensure the quality and reproducibility of the genomic algorithms powering our clinical products. PRIMARY RESPONSIBILITIES: Strategy and Vision Build and define the Bioinformatics function within the Data Science development team, identify technical tooling gaps, and execute a roadmap to advance genomics-based algorithm development. Establish and enforce pipeline and algorithm quality standards, including review processes, validation frameworks, and documentation practices Infrastructure and Automation Own and architect scalable AWS-based data science and bioinformatics infrastructure, ensuring quality, reproducibility, and reliable deployment of Next-Generation Sequencing (NGS) algorithms. Implement MLOps tooling and automated validation frameworks to support reliable algorithm deployment into clinical production. Cross-Functional Collaboration Partner with Research, Product Development, Laboratory Operations, Engineering, and Quality teams to implement stable, scalable pipelines and support successful productization Team Leadership Lead, mentor and hire a high-performing team of bioinformaticians and data scientists, establishing technical quality standards and clear operational ownership. Build technical depth within the team to support expanding product roadmaps across Women's Health and Organ Health. QUALIFICATIONS: Master of Science or Ph.D. in a quantitative technical discipline (Biostatistics, Bioinformatics, Computer Science, Physics, Applied Mathematics, or equivalent). Minimum of 10 years of experience in Data Science or Bioinformatics, with at least 5 years of direct people management experience leading technical teams. Hands-on experience archi

FEQ427R29 Solution Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark™, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Sr. Field Engineering Manager for the team. The impact you will have: Partner with the sales team to help customers understand how Databricks can help solve their business problems Provide technical leadership for customers to evaluate and adopt Databricks Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications Build and present references architectures, how-tos, and demo applications for customers Become an expert in, and promote Databricks inspired open-source projects (Apache Spark™, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars Travel to customers in your region What we look for: 7+ years in a customer-facing pre-sales, technical architecture, or consulting role Experience designing and architecting distributed data systems Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R Experience supporting Public Sector clients Have built solutions with public cloud providers such as AWS, Azure, or GCP Expertise in

Natera is seeking an Associate Director to lead a team of Bioinformatics Scientists in our Women's Health and Organ Health research organization. You will oversee the scientific planning and execution of research and assay-development of diagnostic projects, and you will be responsible for creating production-ready pipeline components. You will manage your team and its professional growth, the research strategy behind new product development, and the handoff of research work into production. The role calls for deep experience in algorithm and assay development, NGS data processing across multiple modalities, and the full life cycle of diagnostic product research and development in a regulated (CLIA) setting. You will evaluate new technologies and NGS assays, implement methods to optimize performance, and help define the product profile from a bioinformatics perspective, with input from R&D, Product, and Laboratory Directors. Primary Responsibilities: Team Leadership and Development: Lead and mentor a team of Bioinformatics Scientists. Own their professional growth, their responsibilities, and the standard the team holds itself to. Research Strategy: Own the research strategy behind new product development, from scoping through execution, working with cross-functional stakeholders on what the team takes on and in what order. Assay Science: Lead bioinformatics analysis for assay development and optimization, and troubleshoot experiments alongside laboratory scientists. This spans multi-omic approaches including methylation and fragmentomics and other cell-free DNA (cfDNA) derived features. It also spans short-read and long-read sequencing and both hybrid-capture and amplicon target enrichment. Study Design and Data Quality: Partner with laboratory teams on study design at the research and feasibility stage, covering new technology assessment, optimization, and performance determination. Make sure the resulting data holds up before anyone builds on it. Analys

Natera is seeking an Associate Director to lead a team of Bioinformatics Scientists in our Women's Health and Organ Health research organization. You will oversee the scientific planning and execution of research and assay-development of diagnostic projects, and you will be responsible for creating production-ready pipeline components. You will manage your team and its professional growth, the research strategy behind new product development, and the handoff of research work into production. The role calls for deep experience in algorithm and assay development, NGS data processing across multiple modalities, and the full life cycle of diagnostic product research and development in a regulated (CLIA) setting. You will evaluate new technologies and NGS assays, implement methods to optimize performance, and help define the product profile from a bioinformatics perspective, with input from R&D, Product, and Laboratory Directors. Primary Responsibilities: Team Leadership and Development: Lead and mentor a team of Bioinformatics Scientists. Own their professional growth, their responsibilities, and the standard the team holds itself to. Research Strategy: Own the research strategy behind new product development, from scoping through execution, working with cross-functional stakeholders on what the team takes on and in what order. Assay Science: Lead bioinformatics analysis for assay development and optimization, and troubleshoot experiments alongside laboratory scientists. This spans multi-omic approaches including methylation and fragmentomics and other cell-free DNA (cfDNA) derived features. It also spans short-read and long-read sequencing and both hybrid-capture and amplicon target enrichment. Study Design and Data Quality: Partner with laboratory teams on study design at the research and feasibility stage, covering new technology assessment, optimization, and performance determination. Make sure the resulting data holds up before anyone builds on it. Analys

The Central Project Planning & Control Lead is responsible for developing and executing mid/short-term project plans that align with the long-term strategy set by the Corporate PMAG Team. This role involves overseeing project budgeting, scheduling, document control, contract analysis, and risk management. The Project Planning & Control Incharge ensures that projects are executed efficiently, within budget, and on time while maintaining stringent control over project documents and stakeholder communication. Source: Adani Group | Job ID: 56078

(FEQ327R582) The Specialist Solutions Architect Manager will lead a team of Specialist Solutions Architects (SSA’s) responsible for key elements of the technical sales cycle. You will grow and develop a dynamic team with expertise in areas including enterprise software, data engineering, and data science/machine learning, who will continue to deepen their knowledge of Databricks as the platform expands. You will guide and get involved to enhance your team's effectiveness; be an expert at communicating complex, business value-focused solutions; support complex sales cycles and customer architectures; and build relationships with key stakeholders in large corporations. The SSA Team is engaged in our most important and complex customer engagements, providing deep technical expertise to both new and existing customers. Your team provides specialist expertise to the Solution Architect (SA) and Sales teams, which are responsible for developing and overseeing the overall technical account strategy. Reporting to Director, Field Engineering. The impact you will have: You will hire, train, and grow a diverse team of Specialist Solutions Architects for Databricks, a company in hyper-growth mode Exceed your region's consumption targets - by working with your cross-functional counterparts to determine where to deploy your team of technical experts to drive the most critical use cases forward Make your customers extremely successful with Databricks and provide outsized value to their businesses Establish relationships across the business to make your customers and team successful Grow Databricks Platform usage and prevent churn in strategic accounts by overseeing and retiring a regional growth quota Create positive morale for the team and help foster a working relationship between Field Engineering, Sales, and other important internal partners Help resolve customer questions and concerns on accounts and opportunities deemed strategic by Sales and Pre-sales field leadership

Pharma Commercial Consulting & Data Analytics Leader Role Overview We are looking for a senior Pharma consulting leader with strong expertise in Data & Analytics (D&A) and technology-led transformation. This individual will be part of the Business Consulting Group and will work closely with Account Management and Sales teams to drive consultative client engagement, solutioning, presales, and onsite delivery leadership for strategic Pharma and Consumer Health clients. The ideal candidate should be able to engage credibly with senior client stakeholders (VP+ level) and articulate how technology, AI, and data-driven solutions can solve complex business problems across the Pharma Commercial value chain. Key Responsibilities Consultative Sales & Client Advisory Partner with Sales and Account teams to drive strategic growth opportunities across Pharma and Consumer Health accounts. Lead client-facing consultative discussions, workshops, roadshows, and executive presentations. Influence customer decision-making through domain-led solutioning and thought leadership. Engage with senior client stakeholders (VP/CXO level) across Commercial, Marketing, Sales, and Analytics functions. Presales & Solution Leadership Own and lead presales efforts including: Opportunity qualification Solution development Proposal creation RFP responses POV creation and storytelling Provide outside-in industry perspectives and inside-out capability positioning. Build differentiated offerings and GTM narratives around Pharma Commercial analytics and AI. Delivery Leadership Lead onsite delivery engagements for strategic clients. Work closely with global delivery teams to ensure successful execution and client satisfaction. Act as a trusted advisor to clients while ensuring alignment between business outcomes and technology implementation. Functional Expertise Required Strong understanding of Pharma Commercial business processes and analytics use cases, including: Sales Force Effecti

The job purpose of a Lead - Cell Maintenance is to manage and oversee the maintenance operations specifically for PERC (Passivated Emitter and Rear Cell) technology, ensure the optimal performance and reliability of PERC solar cells, lead troubleshooting and repair efforts, and implement preventive maintenance strategies to maintain high production quality and efficiency. Source: Adani Group | Job ID: 56274

About the Team OpenAI’s Governance, Risk, and Compliance team helps ensure security and privacy are grounded in how our products and systems actually operate. Assurance Operations partners with Security, Engineering, Infrastructure, Product, Privacy, and Legal to make controls provable, risk decisions explicit, and audit readiness a result of well-designed systems. About the Role We are hiring a technical, product-minded GRC builder who can own consequential audits while improving the control and evidence systems behind them. You will build a reusable common control framework, use Codex to automate assurance work, validate changing system scope, and turn repeated audit friction into measurable improvements. We are looking for someone who questions inherited assumptions, solves novel problems creatively, works closely with engineers, and makes the next audit easier by improving the underlying system. You’ll be responsible for: Lead external, internal, customer, and certification audit work from scoping through evidence review, fieldwork, remediation, and closeout. Build a common control framework linking risk, control intent, implementation, owner, system, environment, evidence, and applicable frameworks. Validate actual scope and ownership instead of assuming last year's controls, product boundaries, or evidence remain accurate. Use Codex to build and test evidence checks, control mappings, request triage, owner workflows, monitoring, and remediation reporting. Partner with engineers on cloud architecture, identity, logging, data flows, software changes, vulnerabilities, and control effectiveness. Design maintainable, permission-aware tools that preserve source provenance, human review, and evidence integrity. Reduce repeated requests and operational burden for control owners through measurable workflow improvements. Define roadmaps, decision rights, milestones, success metrics, and clear cross-functional escalations. We’re looking for someone with: Direct ownership

The job purpose of a Lead - Cell Maintenance is to manage and oversee the maintenance operations specifically for PERC (Passivated Emitter and Rear Cell) technology, ensure the optimal performance and reliability of PERC solar cells, lead troubleshooting and repair efforts, and implement preventive maintenance strategies to maintain high production quality and efficiency. Source: Adani Group | Job ID: 55801

FEQ327R128 Mission Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Field Engineering Manager for the team. Important Eligibility Requirement: Due to contractual requirements supporting U.S. Public Sector customers, this position requires U.S. citizenship. Candidates who are not U.S. citizens are not eligible for consideration. The impact you will have: Partner with the sales team to help customers understand how Databricks can help solve their business problems Provide technical leadership for customers to evaluate and adopt Databricks Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications Build and present references architectures, how-tos, and demo applications for customers Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars Travel to customers in your region What we look for: U.S. citizenship is required due to contractual requirements supporting U.S. Public Sector customers. 8+ years in a customer-fa

FEQ327R400 Mission Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Field Engineering Manager for the team. The impact you will have: Partner with the sales team to help customers understand how Databricks can help solve their business problems Provide technical leadership for customers to evaluate and adopt Databricks Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications Build and present references architectures, how-tos, and demo applications for customers Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars Travel to customers in your region What we look for: 7+ years in a customer-facing pre-sales, technical architecture, or consulting role Experience designing and architecting distributed data systems Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R Have built solutions with public cloud providers such as AWS, Azure, or GCP Data Engineering technologies ( Ex: Spark, Hadoop, Kafka )

We’re seeking an experienced engineer to lead bump interconnect development for advanced semiconductor devices (2.5D/3D/chiplet/fan-out). This role spans ubump and C4 bump metallurgy, RDL design and plating, chip-side and interposer capture pad design rules, OSAT engagement, reliability, failure analysis, and cross-functional support through package and system productization. Core Responsibilities Own end-to-end bump interconnect development for both ubump (micro-bump) and C4 processes, including bump formation, and reflow for use with mass reflow, TCB, and LAB chip attach for high-performance semiconductor packages. Define and own bump metallurgy stacks for ubump (e.g., Cu pillar/SnAg) and C4 (e.g., SAC alloys) interconnects, including UBM selection and pad finish specifications for both chip-side and interposer capture pads. Develop and own design rules for bump interconnects including pitch, bump diameter, standoff height, keep-outs, and land pad geometry for both the chip side and interposer or substrate capture pads. Lead RDL (redistribution layer) process development including electroplating of Cu RDL traces, via fills, and pad finishes; define RDL design rules for line/space, via diameter, and layer stack-up to meet electrical and reliability requirements. Collaborate with OSATs and bumping foundries to qualify ubump and C4 bumping processes, drive design rule alignment, and manage process transfers into production. Evaluate and mitigate bump interconnect assembly risks including non-wet opens, voiding, head- in-pillow, intermetallic growth, and joint fatigue failures across both ubump and C4 interconnect types. Perform root cause analysis of assembly and reliability failures using cross-sectioning, SEM, CSAM, and other failure analysis techniques. Support reliability qualification including thermal cycling, drop, mechanical shock, and power cycling. Work cross-functionally with design, reliability, thermal, and manu

FEQ427R58 Mission Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Field Engineering Manager for the team. The impact you will have: Partner with the sales team to help customers understand how Databricks can help solve their business problems Provide technical leadership for customers to evaluate and adopt Databricks Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications Build and present references architectures, how-tos, and demo applications for customers Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars Travel to customers in your region What we look for: 6+ years in a customer-facing pre-sales, technical architecture, or consulting role Experience designing and architecting distributed data systems Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R Experience supporting Public Sector clients Have built solutions with public cloud providers such as AWS, Azure, or GCP Data Engineering