Senior Production Support Engineer – IDM Engineering (VP2)

EH&S Analyst I

Data Analyst

Talent Acquisition Specialist

Cost Accountant

VP, IAM Assurance Leader

Manager, Data Science - Agentic AI

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

Manager, Data Engineering

Responsibilities: <ul><li>Engage in day-to-day support activities including incident and problem management</li><li>Perform production deployments, patch activities on the supported applications and servers.</li><li>Work with product support/development team for permanent resolution/change review – all types including enhancements, bug fixes, etc.</li><li>Work with level 1 support in application knowledge transfer in establishing standard first level recovery process/system health check monitoring/scheduled activities as well as common application user queries.</li><li>Collaborate with internal stakeholders like application, business, infrastructure, security, and operations to continuously improve the stability of applications.</li><li>Develop support operational documents to summarize common support issues.</li><li>Develop reports and drive audit RFI’s and requirements.</li><li>Develop Linux scripts based on the requirements.</li><li>Provide after office hours’ standby support and for emergency recoveries, including managing major incident of critical services.</li><li>Expected to drive improvements through influence and strong relationships with managers in other teams.</li><li>Correlate events across multiple systems to proactively surface and resolve deep, underlying issues.</li></ul> Requirements: <ul><li>Diploma/Degree in engineering/Computer Science / IT/Cyber Security from a recognized education institution</li><li>Professional qualification in information security, such as CISSP / CISM / CEH, or data Security product certifications will be advantageous.</li><li>9 to 12 years relevant experience</li><li>Strong working knowledge on Oracle Identity Governance 12c, Oracle Database, WebLogic, BI Publisher, Oracle Connectors, Linux, Unix &amp; Windows Enterprise Server OS, with mixed skills around administration, performance tuning and troubleshooting</li><li>Working knowledge of Python, java, Java Scripts,</li><li>Knowledge in network infrastructure like Load balancers, Firewalls, SSL etc</li><li>Working Knowledge on Directory - LDAP and AD Databases</li><li>Strong knowledge of Oracle SQL and proficient in writing complex SQL queries with hands on experience with reporting tools along with excellent computational ability.</li><li>Strong understanding of cybersecurity principles and frameworks including ISO 27001 &amp; NIST Cybersecurity Framework;</li></ul>

Responsibilities: EHS Analysts have full authority to: <ul><li>input, maintain, and update internal EHS databases and logs</li><li>Generate, analyze, and distribute EHS performance reports</li><li>Manage document versions and ensure accessibility of EHS policies and procedures</li><li>Coordinate with contractors, labs, or suppliers for compliance support</li><li>Can initiate fact-finding activities for minor incidents and near misses</li></ul> EHS analysts are required to escalate the following: <ul><li>Approval of changes to EHS policies, programs, or procedures</li><li>Final review and submission of external regulatory reports to government agencies</li><li>Signing of contracts or service agreements with third-party vendors</li><li>Initiation of major corrective actions involving cost, manpower, or cross-functional coordination</li><li>Disciplinary recommendations related to EHS non-compliance (major safety violations)</li></ul> Requirements: <ul><li>Minimum 1 to 3 years or more working experience in Environment Health and Safety Roles</li><li>Experience as a Safety Officer or Pollution Control Officer is an advantage</li><li>Experience in working with a multinational company, local or abroad, is an advantage</li><li>College degree, major in Environmental, Chemical, Electrical, Mechanical Civil Engineering.</li><li>Highly Knowledgeable in MS Office applications (Word, Excel, PowerPoint, Forms, etc.)</li></ul>

Responsibilities: Database Maintenance &amp; Support <ul><li>Assist in the maintenance of relational databases (Oracle, SQL Server).</li><li>Support schema creation, updates, normalization, and performance tuning.</li><li>Monitor data quality, identify inconsistencies, and help ensure data integrity across systems.</li></ul> Data Migration &amp; Platform Transition <ul><li>Support data extraction, transformation, and loading (ETL) during system migrations and platform upgrades.</li><li>Assist in transitioning data between legacy environments and modern systems, including Databricks.</li><li>Validate migrated data and document reconciliation results. Data Analysis &amp; Querying</li><li>Write and execute SQL queries for analysis, verification, and operational needs in Oracle and SQL Server environments.</li><li>Participate in exploratory and diagnostic analysis to uncover trends and support business decisions.</li></ul> Documentation &amp; Governance <ul><li>Maintain accurate documentation of data processes, transformations, and system behaviors.</li><li>Support compliance with organizational standards for data governance and metadata management.</li></ul> Requirements: Required Skills &amp; Qualifications <ul><li>Bachelor’s degree in Computer Science, Data Analytics, Information Systems, Engineering, or related field.</li><li>Foundational understanding of relational database concepts and SQL.</li><li>Introductory experience or coursework using Oracle, SQL Server, or similar RDBMS platforms.</li><li>Strong analytical thinking, attention to detail, and problem solving skills.</li><li>Ability to collaborate with technical teams in a fast paced environment.</li></ul> Preferred Skills &amp; Qualifications <ul><li>Exposure to Databricks or other big data / cloud analytics technologies.</li><li>Understanding of ETL concepts, data pipelines, or data transformation frameworks.</li><li>Familiarity with PL/SQL, SSIS, or other database programming tools.</li><li>Interest in learning modern data lake, delta, or virtualization technologies (e.g., Denodo).</li></ul>

Responsibilities: <ul><li>Manage the recruitment process end to end&nbsp;</li><li>Keep an overview of our recruitment needs via regular meetings with our Hiring Managers.</li><li>Design job descriptions and interview questions that reflect the position’s requirements and attract talent to Company</li><li>Determining selection criteria for the open positions, in line with the Company-culture and strategy.</li><li>Sourcing of potential candidates through different sourcing channels</li><li>Screening of potential candidates and planning interviews and assessments</li><li>Run regular updates to hiring managers</li><li>Will need to make presentations to senior management</li><li>Organize and lead feedback sessions and coordinate the hiring decision</li><li>Proposing employment offers in line with Company guidelines</li><li>Run reference checks when needed</li><li>Ensure that the recruitment process is efficient, effective and equitable.</li><li>Implement employer branding initiatives, both internally and externally</li><li>Organize and attend job fairs and recruitment events</li><li>Foster long-term relationships with candidates</li><li>Conduct Hiring manager and Brand ambassador workshops</li><li>Maintain strong connections with HR colleagues within Company to share best practices</li></ul> Requirements: <ul><li>Work experience as a recruiter with relevant experience with average of 7-10 years</li><li>Familiarity with social media, resume databases and professional networks</li><li>Experience with headhunting for mid to senior positions</li><li>Hands-on experience with full-cycle recruiting using interview techniques.</li><li>Experience with assessments is a plus but not a must</li><li>Strong communication skills</li><li>Good relationship building skills</li><li>Growth mindset and learning agility</li><li>Passion and desire to make a difference</li></ul>

Responsibilities: Product Costing <ul><li>Calculate and maintain standard costs for products.</li><li>Determine labor rates and overhead absorption rates.</li><li>Maintain costing sheets and databases, including new product costing and pricing support.</li><li>Perform quarterly standard cost updates (cost roll).</li></ul> Cost Analysis <ul><li>Analyze and explain variances including:</li><li>Purchase price.</li><li>Material usage.</li><li>Labor and machine rates.</li><li>Efficiency and overhead.</li><li>Compare actual costs to standard costs and investigate deviations.</li><li>Identify root causes of cost fluctuations.</li><li>Analyze cost trends and evaluate cost behavior (fixed vs. variable).</li></ul> Month-End Activities <ul><li>Support month-end close with cost accounting entries.</li><li>Prepare journal entries with appropriate documentation.</li><li>Ensure accurate Cost of Goods Sold (COGS) reporting in P&amp;L.</li><li>Reconcile general ledger accounts with subledgers.</li></ul> Budgeting &amp; Forecasting Support <ul><li>Support preparation of cost budgets for operations/production.</li><li>Provide historical cost data for planning and analysis.</li><li>Calculate standard costs for budget models.</li><li>Monitor actual performance vs. budget.</li><li>Support forecasting through cost projections.</li></ul> Cost Optimization &amp; Business Partnering <ul><li>Identify cost reduction opportunities through data analysis.</li><li>Track and validate savings from cost improvement initiatives.</li><li>Partner with procurement on material cost updates.</li><li>Work closely with production on labor and overhead rates.</li><li>Provide cost insights to support operational decision-making.</li></ul> Requirements: <ul><li>Education &amp; Experience.</li><li>Bachelor’s degree in Finance, Accounting, Economics, or related field.</li><li>Professional accounting qualification is a plus.</li><li>Minimum 3+ years of experience in cost accounting (manufacturing environment preferred).</li><li>Experience in product costing and standard costing methodologies.</li><li>Exposure to SAP or similar ERP systems.</li></ul> Technical Skills <ul><li>Strong understanding of cost accounting principles and practices.</li><li>Advanced proficiency in Microsoft Excel.</li><li>Knowledge of Power BI and/or VBA is an advantage.</li><li>Familiarity with integrated systems and costing modules.</li></ul> Functional &amp; Industry Experience <ul><li>Experience working in a manufacturing or production environment.</li><li>Understanding of production processes, cost drivers, and operational workflows.</li><li>Hands-on exposure to plant-level costing and operational finance.</li></ul> Core Competencies <ul><li>Strong analytical and problem-solving skills.</li><li>High attention to detail and accuracy.</li><li>Structured and organized approach with the ability to manage multiple priorities.</li><li>Ability to work cross-functionally and collaborate with operations and supply chain teams.</li><li>Strong communication skills in English (written and verbal).</li></ul>

Responsibilities: <ul><li>Create and Maintain Strategic Roadmaps: Develop and execute multi-year roadmaps to drive innovation, strengthen security posture, meet regulatory requirements, and streamline IAM operations—specifically for IAM assurance capabilities, control monitoring, and evidence automation.</li><li>Stakeholder Engagement: Build and nurture strong relationships across Security Operations, Technology Teams, Governance, Operational Risk, and Internal Audit, ensuring program alignment, audit readiness, and the ability to clearly demonstrate IAM control effectiveness to stakeholders and regulators.</li><li>Risk and Progress Management: Identify, assess, and mitigate technical and organizational risks while regularly reporting blockers, corrective actions, and program milestones to executive leadership; ensure timely remediation of control gaps and recurring defects.</li><li>Solution Design &amp; Automation: Lead and contribute to designing technical solutions for complex automation use cases, driving operational efficiency and scalability—especially automation to detect, track, and remediate IAM control defects.</li><li>Program Integrity: Ensure standards, policies, and procedures are accurately documented and officially maintained for audit and compliance requirements; recommend updates to IAM standards based on security threats, regulatory expectations, and industry trends.</li><li>Performance Tracking: Define, implement, and monitor Key Risk Indicators (KRIs) and Key Performance Indicators (KPIs) to measure program maturity and overall effectiveness, including assurance coverage, control pass rates, remediation SLAs, defect recurrence, and reporting timeliness/accuracy.</li><li>Assurance Operations Leadership: Lead assurance activities to track, validate, and remediate key logical access and authentication controls across centralized IAM services (e.g., Active Directory, Oracle LDAP, Beyond Identity) and decentralized implementations as applicable.</li><li>Assurance Reporting Platform Ownership: Manage and evolve the IAM assurance reporting platform(s) used to monitor adherence to company standards, control design, and operational effectiveness; ensure reporting is accurate, resilient, and audit-ready.</li><li>Agile Partnership with Product Owners: Partner with IAM product owners and delivery teams using Agile methodologies to prioritize and implement control improvements, balancing risk reduction with service stability and customer impact.</li><li>Control Evidence &amp; Audit Support: Ensure the organization can efficiently produce high-quality evidence for SOX, PCI, and other examinations; proactively address audit issues with root-cause correction and sustainable control improvements.</li><li>Documentation &amp; Enablement: Oversee creation, maintenance, and review of operational process documentation and end-user/training materials needed to support consistent execution of IAM assurance activities.</li><li>Problem Resolution: Independently resolve technical challenges while escalating issues with clarity when necessary.</li><li>Perform other critical duties or special projects as assigned.</li></ul> Requirements: <ul><li>BS/BA in Computer Science, Information Technology, Cybersecurity, Business Management, or equivalent, plus 10+ years IT experience, OR in lieu of a degree with 12+ years IT experience demonstrating progressive responsibility.</li><li>Minimum 5 years of experience leading multiple IAM service products (e.g., authentication, privileged access, identity governance) and driving outcomes across both centralized and distributed service models.</li><li>Minimum 5 years of experience developing and improving IAM service processes and reporting on IAM service key controls (design and operating effectiveness).</li><li>Minimum 3 years leading operations or assurance teams, including continuous monitoring, issue management, and control remediation.</li><li>At least 2 years working with Agile methodologies in roles such as Product Owner, Scrum Master, or Technical Lead.</li><li>Minimum 2 years of people management experience, leading teams of 2+ engineers or contractors.</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>

Responsibilities: <ul><li>DATA &amp; ANALYTICAL SOLUTIONS: Oversees the development of data products and solutions using big data and cloud based technologies, ensuring they are designed and built to be scalable, sustainable and robust.</li><li>DATA PIPELINES: Develops and monitors streaming and batch data pipelines that facilitate the seamless ingestion of data from various data sources, transform the data into information and move to data stores like data lake, data warehouse and others.</li><li>DATA SYSTEMS: Reviews existing data systems and architectures to lead identification of areas for improvement and optimization.</li><li>DATA INFRASTRUCTURE: Oversees the preparation of data infrastructure to drive the efficient storage and retrieval of data.</li><li>DATA FORMATS: Reviews and resolves appropriate data formats to improve data usability and accessibility across the organization.</li><li>STAKEHOLDER MANAGEMENT: Partners collaboratively with multi-functional data and advanced analytic teams to capture requirements and ensure that data solutions meet the functional and non-functional needs of various partners.</li><li>DATA FRAMEWORKS: Builds complex prototypes to test new concepts and provides guidance to implement data engineering frameworks and architectures that improve data processing capabilities and support advanced analytics initiatives.</li><li>AUTOMATED DEPLOYMENT PIPELINES: Oversees the development of automated deployment pipelines improving efficiency of code deployments with fit for purpose governance.</li><li>DATA MODELING: Guides the team to perform data modeling in accordance to the datastore technology to ensure sustainable performance and accessibility.</li><li>TEAM MANAGEMENT: Manages team members to achieve the organizations goals, by ensuring productivity, communicating performance expectations, creating goal alignment, giving and seeking feedback, providing coaching, measuring progress and holding people accountable, supporting employee development, recognizing achievement and lessons learned, and developing enabling conditions for talent to thrive in an inclusive team culture.</li></ul> Requirements: <ul><li>Some experience in React, including hooks, context API, and state management libraries (Redux, Zustand)</li><li>Solid experience with JavaScript (ES6+), TypeScript, HTML5, CSS3.</li><li>Strong experience with C# and .NET Framework/.NET Core.</li><li>Solid understanding of object-oriented programming.</li><li>Experience with unit testing and mocking frameworks (e.g., xUnit, NUnit, Moq).</li><li>Familiarity with design patterns (e.g., Repository, Factory, Strategy).</li><li>Experience with SQL DBs, MySQL, Postgres, or MS SQL: writing queries, stored procedures, and performancetuning.</li><li>Knowledge of RESTful APIs and message-based systems.</li><li>Experience with relational databases and data access libraries (e.g., Entity Framework, Dapper).</li><li>Knowledge of ReactJS</li><li>Proficient in Git: branching, merging, pull requests, and version control workflows.</li></ul>

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24 distributed databases Jobs found

Senior Production Support Engineer – IDM Engineering (VP2)

EH&S Analyst I

Data Analyst

Talent Acquisition Specialist

Cost Accountant

VP, IAM Assurance Leader

Manager, Data Science - Agentic AI

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

Manager, Data Engineering

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24 distributed databases Jobs found

Senior Production Support Engineer – IDM Engineering (VP2)

EH&S Analyst I

Data Analyst

Talent Acquisition Specialist

Cost Accountant

VP, IAM Assurance Leader

Manager, Data Science - Agentic AI

Senior Data Scientist III - Agentic AI

Senior Data Scientist II - Agentic AI

Manager, Data Engineering

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

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