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We’re looking for a Senior Data Engineer to join Apadmi and establish a high-performing data engineering capability for one of our key strategic healthcare accounts. In this senior, hands-on role, you will provide technical leadership across a specialist team of engineers working with cloud-based data infrastructure, business intelligence tooling, and client-facing analytics products. This is the perfect opportunity for someone technically deep who has the patience, credibility, and leadership skills to embed modern engineering discipline into a growing data function. You will sit at the intersection of technology delivery and data engineering, owning the data platform roadmap and governing the quality of all data outputs. Operating as an agile team leader, you will collaborate closely with operational, clinical, and commercial stakeholders to ensure the delivery of trusted, scalable, and beautifully documented data products. You'll be responsible for bringing software engineering rigour to a team expanding its technical maturity, establishing the right ways of working from the outset. As a Senior Data Engineer, you will define and own the data platform architecture while establishing team-wide standards across source control, environment management, peer reviews, and release processes. You will blend high-level strategy with hands-on automation, ensuring data quality checks are built-in from day one. Additionally, you will guide your squad through Agile sprint ceremonies and line-manage engineers to foster a culture of quality. What you'll be working on * Define and own the technical architecture of the cloud data platform, ingestion pipelines, and semantic reporting layer. * Establish and enforce core engineering standards, including Git-based source control, branching strategies, environment management, and peer code reviews. * Design scalable, maintainable data models and pipeline architectures that shift the function from reactive data handling to reusable data products. * Line-manage and mentor a team of three engineers, supporting their professional development in modern engineering discipline through collaborative working. * Drive the adoption of Agile methodologies, including sprint planning, stand-ups, retrospectives, and structured backlog refinement. * Proactively automate recurring workflows, forecasting processes, and ingestion monitoring to reduce manual effort and increase reliability. * Embed strict data quality checks at the point of ingestion and establish data dictionaries to secure strict metric governance before data reaches external audiences. * Translate complex business requirements into deliverable user stories, providing accurate effort estimates and managing technical dependencies. What you’ll bring to the team You are a solution-driven data leader who has spent time working within or alongside structured software development teams. You understand the rigour of technology delivery functions and possess a low tolerance for ambiguous data definitions. You are highly collaborative, capable of managing complex roadmaps, and excel at translating technical trade-offs into clear insights for non-technical stakeholders. * Proven experience in a senior data engineering or tech lead role with direct line management responsibility. * Strong hands-on experience with cloud data platforms, ideally utilizing Azure Data Factory, Azure SQL, or Synapse Analytics. * Demonstrable experience implementing CI/CD pipelines, automated testing, environment management, and Git practices within a data team. * Deep understanding of fact/dimension design, semantic layers, and advanced BI tool development (ideally Power BI and DAX). * Solid coding or scripting experience (ideally Python) used to automate data workflows and solve complex pipeline challenges. * Track record of introducing and sustaining agile delivery practices, backlog management, and iterative delivery metrics. * Exceptional communication skills to engage credibly with senior operational, clinical, and commercial business leaders. * Experience establishing data functions from a low baseline, familiarity with dbt, or experience working within highly regulated data environments like healthcare would be beneficial.
Business Analyst About Inizio Ignite: Inizio Ignite is the global advisory partner for health and life sciences, encompassing connected expertise across Research Partnership, Putnam, Vynamic, and STEM. Guided by purpose, passion, and precision, we collaborate with clients to ignite impact, accelerate performance, and deliver lasting change for patients. By uniting strategy, insights, and innovation with a unique depth and breadth of expertise, we drive transformation and shape the future of health. Inizio Ignite, STEM Inizio Ignite is the global advisory partner for health and life sciences, encompassing connected expertise across Research Partnership, Putnam, Vynamic, and STEM. Guided by purpose, passion, and precision, we collaborate with clients to ignite impact, accelerate performance, and deliver lasting change for patients. By uniting strategy, insights, and innovation with a unique depth and breadth of expertise, we drive transformation and shape the future of health. Our STEM team uses benchmarking through AI-enabled and evidence-based approaches to drive alignment resulting in accelerated performance. Serving clients across brand & commercial, Medical Affairs & sales, our expertise includes data, research & insights (proprietary benchmarking data), strategic brand alignment, and sales & MSL performance benchmarking. Proudly part of Inizio – the market-leading commercialization partner for health and life sciences. From early-stage development to loss of exclusivity, we simplify complexity, unlock value, and make collaboration seamless at every pivotal moment – supporting confident, insight-driven decisions that move innovation forward. Job purpose: We are looking for a highly analytical and data-driven professional to join us in the business analysis team. This role will help you to develop a solid understanding of the pharmaceutical industry, strong quantitative and qualitative analytical skills, and to gain a unique insight into best practices across the industry. As a member of the analysis team, you will have great visibility and exposure to senior directors in the company and the opportunity to take on a high level of responsibility for project delivery early-on in your career. You will be supported by an experienced analyst team through your development and training and be expected to collaborate and offer new insight within a close-knit team environment. Key Responsibilities: * Managing multiple LIVE projects and their timelines to meet both internal and client deadlines. * Collaborating with Project leaders/Lead Analysts to interpret data and formulate action plans and recommendations for clients. * Analyzing data from multi-sources using quantitative and qualitative methods to derive * Pressure testing data and identifying areas for investigation and training. * Perform detailed quality checks of deliverables (survey links, dashboards, Excel/Power Point outputs) before sending them to stakeholders * Develop interactive dashboards and reports using Power BI to support client decision-making * Use Python (where applicable) for data manipulation, automation, and basic analysis (e.g., Pandas, data cleaning) * Building and maintaining MS Excel databases from source data. * Produce high quality presentations and other deliverables for clients using PowerPoint. * Supporting members in the analysis team to meet client deadlines and drive development and efficiencies within the team both locally and on international projects. * Identify opportunities to improve processes, automate workflows, and enhance efficiency Essential Requirements: * The ideal candidate must have a Science/Analytics based degree in subjects with numerical emphasis (such as Chemistry, Physics, Mathematics, Biotechnology, Engineering, etc.) * 2–3 years of experience in business analysis, data analysis, or a similar role (pharma/healthcare preferred but not mandatory) * Strong communication and multi-tasking skills to handle multiple projects with different stakeholders. * Advanced Level experience in using Excel (pivots, macros, formulas, etc.) and PowerPoint (slide designing, aesthetics, etc.). * Ability to build Power BI dashboards, create data models, and use DAX for calculations * Ability to write SQL queries for data extraction, joins, filtering, and basic transformations * Python with experience in data manipulation (e.g., Pandas), data cleaning, and scripting/automation * Proactiveness in flagging issues, identifying improvement areas and taking initiative to discuss and align with leadership * Ability to understand the business ask and vision. * Proactive individuals with drive and ambition, a strong work ethic to grow in a dynamic environment with good opportunities to help develop and further the business. Don't meet every job requirement? That's okay! Our company is dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role, but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.
Honor Technology’s mission is to change the way society cares for older adults. As a leader in aging care innovation, Honor provides the technology, tools, and services that empower older adults to live life on their own terms. Honor’s growing portfolio includes its consumer care brand, Home Instead, Inc., the world’s leading provider of in-home care for older adults. With a global franchise network and more than 100,000 Care Pros, Home Instead delivers over 50 million hours of personalized care annually. Together, Honor and Home Instead are setting a new standard for aging in place, backed by powerful technology, compassionate care, and a commitment to aging on your own terms. Join us to create a new and better aging experience for our clients, their families, and our Care Professionals. ABOUT US Our mission is simple—we’re changing the way we care for our parents so they can live safely at home as they age. But how we accomplish our mission is anything but simple. Every day, we’re solving complex problems that don’t come with a playbook. Sound exciting? If you’re someone who shares our core values—Own the Outcome, Solve with Empathy, and Act with Honor—let’s talk. Founded in 2014, Honor is one of the fastest-growing non-medical home care companies in the U.S. We combine innovative technology with the local, personal touch of our partner agencies to transform a $30B industry that touches millions of families. Our platform powers everything from caregiver operations and workforce management to business intelligence, forecasting, and machine learning. At Honor, we’re not building technology for technology’s sake. We’re building technology that helps people deliver better care. THE OPPORTUNITY We’re looking for a Staff Data Engineer to help shape the future of Honor’s data platform. This role is focused on building the foundational data platform that powers analytics, machine learning, operational decision-making, and emerging AI capabilities across Honor. As a senior technical leader, you will define architecture, drive platform strategy, and lead the implementation of scalable systems that make trusted data accessible across the organization. This is an opportunity to join at a pivotal point in our evolution. We are modernizing our data platform, investing in cloud-native AWS services, and building the governance and data access capabilities needed to support the next generation of AI-powered and agentic workflows. You'll tackle complex technical challenges, influence company-wide architecture decisions, and help define how data is consumed across the business. WHAT YOU'LL DO BUILD AND EVOLVE OUR AWS-NATIVE DATA PLATFORM * Lead the architecture and development of scalable, secure, and cost-efficient data platforms on AWS. * Architect and optimize our Data Warehouse to support growing analytical, operational, and AI-driven workloads. * Define and implement Infrastructure-as-Code standards using AWS CDK. OWN DATA ORCHESTRATION AND DATA ENGINEERING FOUNDATIONS * Design and operate scalable orchestration frameworks using Airflow and FiveTran. * Partner with the Data Analytics team to establish data modeling standards and transformation practices using dbt. * Build reusable, maintainable data pipelines and workflows that enable rapid development and reliable operation. ENABLE TRUSTED DATA ACCESS THROUGH GOVERNANCE AND AI READINESS * Establish governance, metadata, lineage, and access patterns that make data discoverable, trustworthy, and easy to use. * Help define how both employees and AI-powered systems safely access and leverage company data. * Build the foundations that enable self-service analytics and future agentic workflows across the organization. DRIVE RELIABILITY, OBSERVABILITY, AND OPERATIONAL EXCELLENCE * Establish monitoring, alerting, and observability standards using Datadog and modern platform engineering practices. * Build scalable data quality frameworks that ensure confidence in business-critical data. * Continuously improve platform reliability, performance, and cloud cost efficiency. LEAD THROUGH TECHNICAL INFLUENCE AND PARTNERSHIP * Partner closely with Data Science, Analytics, Product, and Engineering teams to solve complex business problems through data. * Provide technical leadership, architectural guidance, and mentorship across the data organization. * Influence long-term platform strategy and engineering best practices across multiple teams. WHAT WE'RE LOOKING FOR * 8–10+ years of experience building and operating large-scale data platforms, pipelines, and warehouses in cloud environments, with deep expertise in AWS. * Proven track record leading complex technical initiatives and influencing architecture across teams. * Strong software engineering fundamentals and experience building production-grade systems. * Deep expertise in modern data warehousing, ELT/ETL architectures, and data platform design. * Experience operating data platforms with a focus on reliability, observability, data quality, and cost optimization. * Proven ability to leverage modern AI-assisted and agentic development tools to architect, build, and operate production-grade systems. * Experience partnering with data scientists, analysts, product managers, and software engineers to deliver business impact. * Demonstrated ability to navigate ambiguity, drive alignment, and lead through influence rather than authority. * Passion for building platforms that empower others and scale organizational impact. PREFERRED QUALIFICATIONS * Strong hands-on experience with Python, Amazon Redshift, AWS-native ETL technologies (including ZeroETL and DMS), Airflow, dbt, Datadog, Fivetran, and AWS CDK. * Experience designing data governance, metadata, lineage, or self-service data platforms. * Experience supporting AI, machine learning, or agentic workflow initiatives. * Experience leading platform modernization efforts in high-growth environments. * Experience as a Staff Engineer, Principal Engineer, Technical Lead, or Engineering Manager. WHAT'S NEXT? Sound like a fit? Apply below! #LI-AN1 Our range reflects the hiring range for this position. We use national average to determine pay as we are a remote first company. Individual pay is based on a number of factors including qualifications, skills, experience, education, and training. Base pay is just a part of our total rewards program. Honor offers generous equity packages that increase with position level and responsibilities, and a 401K with up to a 4% employer match. We provide medical, dental and vision coverage including zero cost plans for employees. Short Term Disability, Long Term Disability and Life Insurance are fully employer paid with a voluntary additional Life Insurance option. We offer a generous time off program, mental health benefits, wellness program, and discount program. Hiring Salary Range $194,000—$220,000 USD At Honor, we put people first. Our leadership culture is guided by Leadership Principles that prioritize integrity, compassion, and excellence. We offer a unique opportunity to lead with purpose and make a meaningful impact no matter your role. Honor is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information, political affiliation or belief.
Kyowa Kirin is a fast-growing global specialty pharmaceutical company that applies state-of-the-art biotechnologies to discover and deliver novel medicines in four disease areas: bone and mineral; intractable hematologic; hematology oncology; and rare disease. A Japan-based company, our goal is to translate science into smiles by delivering therapies where no adequate treatments currently exist, working from drug discovery to product development and commercialization. In North America, we are headquartered in Princeton, NJ, with offices in California, North Carolina, and Mississauga, Ontario. Summary: The Associate Director, Clinical Quality Management serves as the central Risk-Based Quality Management (RBQM) Lead for Clinical Operations, responsible for enterprise-wide, proactive risk management across clinical trials. This role owns the end-to-end RBQM framework, including risk identification, assessment, mitigation, centralized monitoring, lessons learned, and maintenance of a clinical risk library, ensuring risks are managed consistently and intelligently across studies, programs, vendors, and regions. The role partners cross-functionally to embed risk-based decision-making into study design, execution, oversight, and continuous improvement, in alignment with ICH E6 (R3), GCP, and global regulatory expectations. Essential Functions: Risk-Based Quality Management (RBQM) Leadership • Lead the design, implementation, and continuous evolution of a holistic RBQM framework across Clinical Operations, aligned with ICH E6 (R3) and regulatory guidance. • Serve as the central RBQM authority ensuring consistent risk management approaches across trials, programs, regions, and vendors. • Integrate RBQM principles into study planning, execution, oversight, and close-out activities. • Provide expert oversight and guidance to study teams on study-level RBQM plans, ensuring alignment with enterprise risk strategy. Central Risk Identification, Monitoring & Mitigation • Lead proactive, cross-study and cross-functional risk assessments to identify systemic, emerging, and study-specific risks. • Define, standardize, and maintain Key Risk Indicators (KRIs) and Quality Tolerance Limits (QTLs) across trials. • Oversee centralized risk monitoring and trending to enable early detection of critical risks. • Partner with study teams to develop and oversee risk mitigation, contingency, and escalation plans, ensuring inspection Lessons Learned & Risk Library Management (Core Ownership) • Establish and maintain a centralized Clinical Risk Library, capturing: o Known and emerging risks o Root causes o Mitigation strategies o Effectiveness of controls • Lead lessons learned activities across trials, audits, inspections, and CAPAs. • Ensure lessons learned are: o Systematically captured o Analyzed for trends o Fed back into RBQM planning, SOPs, training, and future studies • Drive organizational learning by translating lessons learned into preventive, forward-looking risk controls.readiness. Quality Oversight & Regulatory Compliance • Ensure clinical trial conduct complies with GCP, regulatory requirements, and company SOPs. • Provide centralized quality oversight across trials, CROs, and vendors. • Support audit and inspection readiness activities, including: o Risk-based inspection preparation o Impact assessments o CAPA development and effectiveness checks Vendor & CRO Risk Oversight • Design and implement risk-based oversight strategies for CROs and external vendors. • Monitor vendor performance using quality metrics and risk indicators. • Lead or support quality governance discussions with external partners. • Ensure vendor-related risks are integrated into the central risk library and lessons learned framework. Data-Driven Quality & Continuous Improvement • Leverage data analytics and centralized monitoring tools to enable real-time risk detection and decision-making. • Generate enterprise-level risk trend reports and insights for senior leadership. • Continuously refine RBQM methodologies based on data, inspection outcomes, and lessons learned. • Champion a culture of proactive quality and continuous improvement across Clinical Operations. Cross-Functional Collaboration & RBQM Expertise • Act as the RBQM Subject Matter Expert (SME) for Clinical Operations and Clinical Quality Compliance. • Provide RBQM training and coaching to study teams and cross-functional stakeholders. • Collaborate closely with Regulatory, Biostatistics, Data Science, QA, and Vendor Management teams to align risk strategies and metrics. • Participate as an observing member on assigned study teams to provide real-time quality and risk support. SOP Management & Governance Support • Partner with Document Control and SOP Administration teams to ensure RBQM and lessons learned are reflected in SOPs, WIs, and templates. • Support governance activities, senior management reporting, and quality metrics standardization. • Recommend and support implementation of corrective and preventive actions to protect system, process, and data integrity.provide real-time quality and risk support. Requirements: Education • Bachelor’s degree in Life Sciences, Pharmacy, Nursing, Public Health, or related field (required) • Advanced degree in Clinical Research, Quality Management, Regulatory Affairs, or Data Science (preferred) Experience • 10+ years of experience in Clinical Operations, Clinical Quality, RBQM, or RBM • Demonstrated experience leading enterprise or cross-study risk management frameworks • Strong background in audit/inspection readiness, CAPA management, and vendor oversight • Deep knowledge of ICH-GCP, FDA, EMA, and global regulatory requirements Technical Skills • Expertise with RBQM tools, centralized monitoring systems, and risk analytics • Experience defining and using KRIs, QTLs, and quality metrics • Familiarity with CTMS, eTMF, and data visualization tools (Spotfire, Tableau, Power BI) • Exposure to AI or predictive analytics for quality monitoring (preferred) Working Conditions: Requires up to 25% domestic and international travel. May involve working outside of regular business hours to accommodate global time zones and project deadlines. The anticipated salary for this position will be $175,000 to $190,000. The actual salary offered for this role at commencement of employment may vary based on several factors including but not limited to relevant experience, skill set, qualifications, education (including applicable licenses and certifications, job-based knowledge, location, and other business and organizational needs. The listed salary is just one component of the overall compensation package. At Kyowa Kirin North America we provide a comprehensive range of benefits including: * 401K with company match * Annual Bonus Program (Sales Bonus for Sales Jobs) * Generous PTO and Holiday Schedule which includes Summer and Winter Shut-Downs, Sick Days and, Volunteer Days * Healthcare Benefits (Medical, Dental, Prescription Drugs and Vision) * HSA & FSA Programs * Well-Being and Work/Life Programs * Life & Disability Insurance * Concierge Services * Long Term Incentive Program (subject to job level and performance) * Pet Insurance * Tuition Assistance * Employee Referral Awards The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market. KKNA and all of its employees have an obligation to act in accordance with the law and with integrity in all our operations and interactions It is the policy of Kyowa Kirin North America, Inc. to provide equal employment opportunity to all qualified persons without regard to race, religion, creed, color, pregnancy, sex, age, national origin, disability, genetic trait or predisposition, veteran status, marital status, sexual orientation or affection preference or citizenship status or any other category protected by law. When you apply to a job on this site, the personal data contained in your application will be collected and stored by Kyowa Kirin, Inc. (“Controller”), which is located at 510 Carnegie Center Dr. Princeton, NJ 08540 USA and can be contacted by emailing kkus.talentacquisition.8h@kyowakirin.com. Controller’s data protection officer can be contacted at usprivacyoffice@kyowakirin.com. Your personal data will be processed for the purposes of managing Controller’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. Such processing is legally permissible under Art. 6(1)(f) of General Data Protection Regulation (EU) 2016/679 (“GDPR”) as necessary for the purposes of the legitimate interests pursued by the Controller, which are the solicitation, evaluation, and selection of applicants for employment. Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller’s behalf. Accordingly, if you are located outside of the United States, your personal data will be transferred to the United States once you submit it through this site. The transfer will be made using appropriate additional safeguards under the standard contractual clauses approved by regulators for transfers of personal data outside the European Union. Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for employment. Under the GDPR, if you are located in the European Union, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have the right to data portability, and to lodge a complaint with an EU supervisory authority. If you have any questions about our use of your data, you may contact us by email at usprivacyoffice@kyowakirin.com. RECRUITMENT & STAFFING AGENCIES Kyowa Kirin does not accept agency resumes unless contacted directly by internal Kyowa Kirin Talent Acquisition. Please do not forward resumes to Kyowa Kirin employees or any other company location; Kyowa Kirin is not responsible for any fees related to unsolicited resumes. #LI-TT1 #Hybrid #Princeton