Data & ML Architect

Associate Director RA & QA

HR Systems and Workforce Analyst

Logistics Analyst

Business Intelligence Analyst

Manager II – Manufacturing & Process Development Engineering

VP,  Senior Audit Manager

Manager, Data Science - Agentic AI

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

Responsibilities: Strategic Leadership: <ul><li>Set the vision and direction for data and AI architecture for project and client.</li><li>Influence enterprise data and AI strategies, driving adoption of best practices in data, ML, and AI architecture.</li><li>Mentor and develop junior architects and engineers, fostering a culture of technical excellence and innovation.</li></ul> Architectural Excellence: <ul><li>Architect and design enterprise-scale data platforms and ML/AI solutions for scalability, reliability, and performance.</li><li>Define and enforce data and ML architecture standards, patterns, and governance frameworks for data pipelines, ML workflows, and analytics platforms.</li><li>Lead solution design for integrating data from diverse sources (streaming, batch, cloud, on-premises) using Azure, AWS, and GCP services.</li></ul> AI &amp; ML Leadership: <ul><li>Architect advanced Data Science, ML and AI solutions, including NLP, RAG LLM and Agentic AI systems.</li><li>Oversee the implementation of MLOps frameworks, ensuring robust deployment, monitoring, and lifecycle management of ML models.</li><li>Evaluate and recommend emerging AI/ML technologies and platforms, driving innovation in intelligent data products.</li><li>Provide Ethical AI leadership to ensure intelligent solutions are implemented when required and in safe methods.</li></ul> Technical Leadership: <ul><li>Oversee data modelling (e.g. medallion architecture), data governance, and quality frameworks. Implementing technical reviews and driving high standards.</li><li>Collaborate with engineering and DevOps teams to establish CI/CD and MLOps architectures using Azure DevOps, Kubernetes, and Terraform.</li><li>Guide the selection and implementation of visualization and analytics tools (Power BI, Tableau, PowerApps).</li></ul> Stakeholder Engagement: <ul><li>Engage with senior stakeholders to translate complex business requirements into technical solutions and strategic roadmaps.</li><li>Ensure all solutions meet security, compliance, and performance standards, and align with enterprise architecture principles.</li></ul> Innovation &amp; Emerging Technologies: <ul><li>Apply modern data and AI architecture patterns (Cloud Native, Steaming/batch ingestion, Agentic AI Design) and leverage platforms such as AI/ML, Big Data, and Data Lakehouse.</li></ul> Requirements: <ul><li>Minimum 8 years’ experience client facing roles specializing in Data and Architecture roles.</li><li>Experience in both Agile and Waterfall project environments.</li><li>Strong stakeholder management and communication skills.</li><li>Security and compliance awareness.</li><li>Industry certifications (e.g., AWS Solution Architect, Azure Data Engineer, GCP Data Engineer).</li><li>Experience mentoring or managing technical teams.</li></ul>

Role Description: <ul><li>The Associate Director – Regulatory Affairs (CA) will lead the development and execution of regulatory strategies to support the timely approval, lifecycle management, and commercialization of generic pharmaceutical products in Canada. </li><li>The role will focus heavily on Abbreviated New Drug Submissions (ANDS) and Supplemental ANDS filings, while acting as the primary interface with Health Canada for regulatory discussions, clarifications, and negotiations.</li><li>This position plays a critical strategic role in new product development, portfolio expansion, and in-licensing evaluation, ensuring all regulatory activities align with Health Canada requirements, corporate objectives, and market access timelines.</li><li>The Director will also support portfolio maximization (PMX) initiatives, identify regulatory opportunities, and oversee a small regulatory team.</li></ul> Responsibilities: Regulatory Strategy &amp; Leadership <ul><li>Develop and implement regulatory strategies for ANDS submissions to Health Canada that maximize probability of approval and accelerate time to market.</li><li>Provide strategic regulatory guidance during product selection and development phases, including formulation, bioequivalence, and labeling strategy.</li><li>Ensure regulatory considerations are integrated into R&amp;D, clinical, CMC, and commercial planning.</li><li>Advise senior leadership on Canadian regulatory landscape, evolving guidelines, and approval pathways.</li><li>Lead regulatory planning for first-to-file, complex generics, and niche opportunities where applicable.</li></ul> Health Canada Engagement &amp; Regulatory Submissions <ul><li>Serve as the primary liaison with Health Canada, maintaining professional and proactive relationships with regulatory authorities.</li><li>Lead preparation and submission of: o Abbreviated New Drug Submissions (ANDS)</li><li>Supplemental ANDS (SANDS)</li><li>Notifiable Changes</li><li>Post-approval regulatory filings</li><li>Manage Health Canada deficiency responses, clarification requests, and review cycles.</li><li>Coordinate cross-functional teams to ensure high-quality regulatory dossiers</li><li>Represent the company in Health Canada meetings, scientific advice discussions, and regulatory negotiations.</li><li>Track and interpret Health Canada guidance updates, policy changes, and regulatory precedents affecting generic drug approvals.</li></ul> In-Licensing &amp; Regulatory Due Diligence <ul><li>Conduct regulatory due diligence for potential in-licensing and partnership opportunities.</li><li>Evaluation of regulatory pathways and submission feasibility</li><li>Data package completeness</li><li>Bioequivalence strategy</li><li>Intellectual property and exclusivity considerations</li><li>Estimated approval timelines and risks</li><li>Provide regulatory risk assessments and strategic recommendations to senior management during deal evaluation.</li><li>Support technology transfer and regulatory integration of licensed products into the company’s Canadian portfolio.</li></ul> Portfolio Management &amp; Lifecycle Optimization <ul><li>Support portfolio maximization (PMX) initiatives, including o Label expansions</li><li>New strengths and dosage forms</li><li>Site transfers</li><li>Manufacturing changes</li><li>Competitive lifecycle strategies</li><li>Identify regulatory opportunities to extend product lifecycle or improve market competitiveness.</li><li>Partner with commercial, market access, and supply chain teams to align regulatory activities with business objectives.</li></ul> Cross-Functional Collaboration <ul><li>Work closely with internal teams including o R&amp;D / Formulation Development</li><li>Clinical &amp; Bioequivalence</li><li>Quality Assurance / Quality Control</li><li>CMC / Manufacturing</li><li>Intellectual Property</li><li>Business Development</li><li>Provide regulatory input during product development milestones and technical reviews.</li><li>Ensure regulatory compliance with Health Canada, ICH, and global regulatory standards.</li></ul> Team Leadership &amp; Development <ul><li>Lead, mentor, and develop 1–3 regulatory associates/managers.</li><li>Oversee work allocation, submission timelines, and performance development.</li><li>Build a high-performance regulatory function capable of managing increasing submission volume.</li><li>Promote a culture of accountability, quality, and regulatory excellence.</li></ul> Requirements: Education &amp; Experience <ul><li>Advanced degrees in Pharmacy, Life Sciences, Pharmacology, Regulatory Affairs, or related discipline.</li><li>Regulatory certification (e.g., RAC) is considered an asset.</li><li>15–20 years of regulatory affairs experience within the pharmaceutical industry.</li><li>Extensive experience with Canadian regulatory submissions, particularly:</li><li>ANDS</li><li>SANDS</li><li>eCTD filings</li><li>Demonstrated experience interacting directly with Health Canada.</li><li>Strong understanding of Generic drug approval pathways</li><li>Bioequivalence requirements</li><li>CMC regulatory expectations</li><li>Experience supporting business development or in-licensing regulatory evaluations.</li><li>Previous team leadership or mentoring experience preferred.</li></ul> Core Competencies <ul><li>Strategic Thinking Ability to translate regulatory requirements into business-focused strategies that accelerate approvals and strengthen the company’s competitive position.</li><li>Regulatory Expertise Deep knowledge of Health Canada regulatory frameworks, ANDS requirements, and generic drug approval processes.</li><li>Stakeholder Influence Proven ability to engage effectively with regulatory authorities, internal leadership, and external partners</li><li>Physical Requirements</li></ul> Physical &amp; mental requirements: <ul><li>Business travel (15% of time), driving as part of work responsibilities.</li></ul>

Overview: <ul><li>The HR Technology and Integration (T&amp;I) organization was established as part of the HR team’s journey through digital transformation.&nbsp;</li><li>Working as part of our Global HR Technology &amp; Integration team this role to Build, implement and improves global HR systems, data, reporting and analytics platform.&nbsp;</li><li>As a product owner you will Develop and improve existing HR systems in partnership with our Global Talent Rewards &amp; HR Services teams to meet business requirements.</li></ul> Responsibilities: <ul><li>Act as a Global Product Owner to support our Global Total Rewards systems &amp; development.</li><li>Partner closely with our Global Total Rewards team to provide product knowledge &amp; solutions.</li><li>Proactively recommend solutions and ideas to help address technical problems that hinder productivity within Total Rewards.</li><li>Collaborates with Total rewards business teams to analyse requirements, develops and implements various solutions &amp; procedures.</li><li>Provides expertise in the analysis, design, development, and implementation of our Global HRIS system &amp; applications.</li><li>Streamline &amp; continuously improve system configuration to support Global Total Rewards team</li><li>Research solutions to support HR programs and processes.</li><li>Acts as a liaison with IT (Internal &amp; External) on technical issues and projects requiring data integration and other technical support.</li><li>Troubleshoots production issues, including problem research and analysis, and performing steps for resolution.</li><li>Documents system specifications, configurations, processes and procedures.</li><li>Partners with IT, HR and business to ensure effective use of methodologies and communication of test strategies, test results and performance through testing teams</li><li>Audits and reviews changes within HRIS to ensure proper controls and separation of duties and assists in establishing new controls, as needed.</li><li>Contributes to training program development and provides Tier 3 end-user support. Partners with COE’s &amp; Shared Services on enhancements, new rollouts, etc.</li><li>Works with external vendors and other service providers to ensure the efficient, accurate, and timely exchange of information</li></ul> Requirements: <ul><li>Bachelor degree (or equivalent); advanced degree preferred.</li><li>Typically requires minimum of 5+ years of SuccessFactors experience with end to end implementation projects</li><li>SuccessFactors certification with experience and expertise in modules like Compensation and Variable Pay</li><li>Hands on experience with SuccessFactors Employee Central (EC)</li><li>Candidate should ideally have been experience in at least 1 previous global / regional implementation • Provided recommendations with half-yearly and periodic system updates</li><li>Ability to communicate recommendations and solutions to non-technical clients and end users.</li><li>Experience building and executing test scripts for HR information system upgrades and enhancements. • Desired ITIL Service Management Certified</li><li>Advanced proficiency in MS Office, especially Excel</li></ul>

Responsibilities: <ul><li>Maintain &amp; report KPIs related to Freight, Duty, Warehousing, and Inventory to drive stakeholder engagement &amp; action.</li><li>Act as a liaison between regional supply chain leaders, Global Logistics, and Finance to collect known headwinds, tailwinds, and cost reduction projects for inclusion in the quarterly consensus forecast</li><li>Track attainment to forecast every month, including Pareto analysis of any misses &amp; gap closure plan</li><li>Challenge existing targets &amp; identify opportunities for further improvements by partnering with the Global Logistics &amp; Global Trade Services organizations</li><li>Drive adherence &amp; standardization in the Premium Freight approval workflow, including training, specific guidelines for customer liability, and data input and reconciliation at the regional level</li><li>Identify and lead a project(s) that directly contributes to freight and/or duty cost reduction</li><li>Develop guidelines for inventory stocking strategy (Make-To-Stock / Make-To-Order), Safety Stock, Lot Sizes</li><li>Collaborate with the Master Data team to review and maintain system parameters in accordance with the latter.</li><li>Lead Slow-Moving / Obsolete inventory cadence &amp; drive actions to completion, including End-of-Life procedure</li><li>Integrate with Corporate initiatives for inventory optimization (ABC/FMR, Healthy Stock methodology)</li><li>Create innovation and digitize reports for better data presentation and action determination.</li></ul> Requirements: <ul><li>Bachelors degree in Supply Chain Management, Business Administration, Information Systems, or a related field. A Masters degree is preferred.</li><li>Proven experience 5+ years in master data management, data governance, or a related field, preferably in a supply chain planning environment.</li><li>Strong knowledge of supply chain planning processes, including demand planning, inventory management, and production planning.</li><li>Proficiency in utilizing master data management tools and systems (e.g., SAP MDG, Informatica MDM, etc.).</li><li>Solid understanding of data governance principles, data quality management, and data lifecycle management.</li></ul>

Responsibilities: <ul><li>Design, develop, and maintain dashboards and reports using Power BI and or Tableau</li><li>Connect to data sources including data warehouses (for example Redshift), ERP systems, and structured datasets</li><li>Prepare and transform data using Power Query, Tableau Prep, or similar tools</li><li>Build and maintain data models and calculations within BI tools to support scalable reporting</li><li>Translate business requirements into clear and effective visualizations and reports</li><li>Analyze data to identify trends, performance gaps, and opportunities for improvement</li><li>Ensure data accuracy by validating outputs against source systems and established definitions</li><li>Support user acceptance testing and incorporate feedback into reporting solutions</li><li>Maintain and enhance existing dashboards to improve usability and performance</li><li>Document key metrics, business logic, and report structures</li><li>Collaborate with cross-functional teams including business stakeholders and technical partners</li></ul> Requirements: <ul><li>Bachelor’s degree in Industrial engineering, Information Technology, Data Analytics, or related field</li><li>3 to 5 years of experience in Business Intelligence, Data Analytics, or Reporting roles</li><li>Experience developing dashboards using Power BI or Tableau</li><li>Experience working with enterprise data sources such as ERP systems or data warehouses</li><li>Experience supporting business or operational analytics, with supply chain exposure considered an advantage</li></ul>

Responsibilities: Lead a team of engineers who will: <ul><li>Develop power connector assembly manufacturing process in accordance with LEANPD product development.</li><li>Drive for excellence in existing manufacturing technologies and methods.</li><li>Strive to implement new manufacturing technologies to provide improved process and tolerance control.</li><li>Support Product Development in the optimization designs (DFM) and piece parts for manufacturability; realizes sample tooling, product samples, and prototypes.</li><li>Design, develop, and qualify tooling and processes to meet company DDN quality and production standards.</li><li>Support the supply chain to verify supplier compliance and capability.</li><li>Act as the binding element between product development and manufacturing engineering, ensuring the effectiveness and efficiency of this critical interface.</li><li>Maintain communication with the project management team to understand current and future strategic business needs</li><li>Prioritize and time manage a portfolio of projects/work efforts based on criticality and business need</li><li>Provide readouts to Senior manager and Director-level cross-functional management as necessary</li><li>Work with the Philippines operations team to assign resources necessary for the successful execution of new product development</li><li>Facilitate and coordinate cross-functional communication across globally matrixed organizations</li></ul> Requirements: <ul><li>Bachelors or above degree with mechanical/electrical related majors.</li><li>At least 5 years of managerial-level experience related to a multinational manufacturing site.</li><li>Familiar with Lean, Six Sigma. etc. industrial methods/tools.</li><li>With 2 years or above work experience in the connector assembly industry is preferred.</li><li>Fluent in English and good presentation skills.</li><li>Familiar with MS software.</li><li>Familiar with industrial specification (i.e., IPC 620).</li><li>Familiar with Stamping / Plating / Molding / Assembly processes</li></ul>

Responsibilities: <ul><li>Engage with India Leadership to understand emerging risk while providing risk themes and trends that can inform and help improve governance and control awareness.</li><li>Provide IA leadership to the Internal Audit team based in India by motivating and developing individuals to elevate quality and expand capabilities.</li><li>Assist with continuous monitoring activities related to Technology.</li><li>Supervise, manage, and motivate Audit Managers on scheduled audits.</li><li>Oversee audit planning and execution of audits including audit scoping, setting audit objectives, defining audit test steps, performing audit fieldwork and drafting audit reports.</li><li>Review and provide feedback to Audit Managers on the documentation of detailed process walkthroughs performed with management, including the identification of process risks and controls.</li><li>Review and provide feedback on detailed audit work papers performed during fieldwork, including control design and effectiveness testing.</li><li>Ensure Audit Managers have developed and documented clear audit work papers that succinctly articulate the process, risks, controls, test work performed, and conclusions reached.</li><li>Ensure effective and efficient execution of audits in conformance with professional and department quality standards.</li><li>Identify and articulate control gaps or control deficiencies.</li><li>Ensure timeliness of audit work and ensure audit is performed within budget.</li><li>Present audit results to various levels of internal audit leadership, as well as the business organization.</li><li>Contribute to risk assessment process and ongoing business/industry monitoring.</li><li>Maintain internal audit competency through ongoing professional development.</li><li>Oversee career and professional development of direct reports.</li><li>Perform other duties and/or special projects as assigned.</li></ul> Requirements: <ul><li>Bachelors or advanced degree in technology, business, or finance, with a minimum of 10+ years of relevant experience working within audit or a risk management function or minimum 12+ years relevant experience in lieu of a degree</li><li>Bachelor’s degree in Accounting, Auditing, or a technology-related degree with 9+ years of audit experience</li><li>5+ years in technology audit, controls, operations, and/or compliance</li><li>2+ years recent experience managing, supervising, and mentoring individuals</li><li>2+ years recent experience in leading projects and motivating teams</li><li>CISA/CISM/CPA/CIA/CRISC/CISSP certifications</li><li>Ability and flexibility to travel for business as required</li></ul>

Responsibilities: <ul><li>Leading development of advanced AI Agentic tech.</li><li>Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.</li><li>Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.</li><li>Analyzing large datasets to identify patterns and trends that can inform AI development.</li><li>Communicating findings and insights to stakeholders in a clear and concise manner.</li><li>Staying current with the latest AI and machine learning trends and technologies.</li><li>Mentoring junior data scientists and provide guidance on AI and machine learning best practices</li><li>Driving best practices across our data science functions.</li><li>Setting strategy and team direction, with a clear vision for Data Science.</li><li>Working with product leaders to apply data science solutions..</li><li>Evaluating and creating new frameworks and defining methodologies and governance.</li><li>Leading small- to medium-sized teams (direct or indirect).</li><li>Setting a high bar for model development.</li></ul> Requirements: <ul><li>3+ years of people management experience.</li><li>7+ years of AI/ML experience.</li><li>Significant experience in managing larger technical teams (direct or indirect).</li><li>Have experience in mentoring or training others, acting as a subject matter expert to guide colleagues.</li><li>Be a natural problem solver, able to take a lead in collaborating to resolve issues.</li><li>Have excellent communication skills and the ability to convey information clearly to senior stakeholders.</li><li>Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests.</li><li>Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.</li><li>Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.</li><li>Experience with reinforcement learning, prompt engineering, hallucination mitigation.</li><li>Working understanding of the business risks associated with applying LLM in a business.</li><li>Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark).</li><li>Strong coding skills in Python or another programming language.</li><li>Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders.</li></ul>

Responsibilities: <ul><li>Lead experimentation and model development for AI/ML solutions in legal products.</li><li>Design and evaluate NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).</li><li>Define agentic workflows and reasoning strategies for multi-step legal tasks.</li><li>Define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</li><li>Analyze large-scale legal datasets to extract insights and improve model performance.</li><li>Establish best practices for model evaluation, validation, and benchmarking.</li><li>Translate experimental results into clear product recommendations and business impact.</li><li>Collaborate with product, legal experts, and engineers to align solutions with user needs.</li><li>Mentor team members and provide technical leadership in data science and AI.</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Data Science, Statistics, Mathematics).</li><li>Strong experience in machine learning, NLP, and LLM-based modeling.</li><li>Proven experience designing and running experiments, including model evaluation and iteration.</li><li>Experience with generative AI techniques (e.g., prompt engineering, RAG).</li><li>Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.</li><li>Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.</li><li>Proficiency in Python and data analysis tools.</li><li>Ability to define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</li><li>Able to analyze large-scale legal datasets to extract insights and improve model performance.</li></ul>

Responsibilities: <ul><li>Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).</li><li>Define agentic workflows and reasoning strategies for multi-step legal tasks.</li><li>Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</li><li>Analyze large-scale legal datasets to extract insights and improve model performance.</li><li>Establish best practices for model evaluation, validation, and benchmarking.</li><li>Translate experimental results into clear product recommendations and business impact.</li><li>Collaborate with product, legal experts, and engineers to align solutions with user needs.</li><li>Mentor team members and provide technical leadership in data science and AI.</li></ul> Requirements: <ul><li>Education: Master’s degree or above in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.).</li><li>Strong experience in machine learning, NLP, and LLM-based modeling.</li><li>Strong experience designing and running experiments, including model evaluation and iteration.</li><li>Experience with generative AI techniques (e.g., prompt engineering, RAG).</li><li>Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.</li><li>Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.</li><li>Proficiency in Python and data analysis tools.</li><li>Strong foundation in statistics, modeling, and large-scale text processing.</li></ul>

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147 senior tax analyst Jobs found

Data & ML Architect

Associate Director RA & QA

HR Systems and Workforce Analyst

Logistics Analyst

Business Intelligence Analyst

Manager II – Manufacturing & Process Development Engineering

VP, Senior Audit Manager

Manager, Data Science - Agentic AI

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

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147 senior tax analyst Jobs found

Data & ML Architect

Associate Director RA & QA

HR Systems and Workforce Analyst

Logistics Analyst

Business Intelligence Analyst

Manager II – Manufacturing & Process Development Engineering

VP, Senior Audit Manager

Manager, Data Science - Agentic AI

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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