Sr. Solution Consultant, Transportation

Data Modeler

AI Lead

Product Specialist

Digital Planning & Governance Manager

Data Engineer

Data Engineer (Informatica)

Digital Architect

Sr. Business Development Manager - Process Automation

Senior L&D Manager, Frontline (KSEA)

Responsibilities <ul><li>Visiting customers, bringing in current market information &amp; customer information back to the sales team, creating customer files &amp; providing technical support for complete project solutions based on market information and current product capability.</li><li>Coordinating with the Product management team and R&amp;D team directly for product/feature envelopment.</li><li>Providing product positioning/Product marketing strategy to the sales team.&nbsp;</li><li>Doing regular technical presentations and product training for customers and the sales team.</li><li>Providing front-line technical support on quality issues and product improvement.</li></ul> Requirements: <ul><li>Education –10-12 years of experience with technical support experience &amp; B. Tech in Electronics &amp; Communication Engineering or diploma</li><li>Markets – Must be familiar with Networking products includes- L2/L3 switches, routers &amp; firewalls, terminal servers, cybersecurity, Next gen-firewalls, wireless devices, MPLS-TP &amp; IP/MPLS Technology.</li><li>Familiarity with Mainline/Metro Vital and Non-Vital communication network requirements – Network design experience with Backbone Network, Train to track Wireless, Onboard (Train) network, Fiber optics</li><li>communication System, and interface requirements for Rail Systems.</li><li>Customers Define our Success – Results oriented with a process mindset.&nbsp;</li><li>Excellent interpersonal and communication skills with strong ownership &amp; should be comfortable with communication/engagement with customers and partners.&nbsp;</li><li>Willing to dedicate extra time and travel to meet objectives.</li></ul>

Responsibilities: <ul><li>Responsible for designing and implementing data modeling solutions using relational, dimensional, and NoSQL databases.&nbsp;</li><li>Working closely with data architects, to develop bespoke databases utilizing a mixture of conceptual, physical, and logical models</li><li>Implement best practices for data modeling, including normalization and de-normalization techniques.</li><li>Collaborate with cross-functional teams to understand data requirements and translate them into effective data models.</li><li>Perform data profiling and analysis to ensure data quality and integrity.</li><li>Optimize data models for performance and scalability.</li><li>Maintain and enhance existing data models to accommodate new data sources and business requirements.</li><li>Document data architecture, data dictionaries, and metadata standards.</li></ul> Requirements: <ul><li>Bachelor’s degree in computer science, Information Systems, or a related field.</li><li>3-4 years of experience in data modeling roles, preferably in designing data warehouses.</li><li>Strong understanding of relational database concepts and experience with SQL.</li><li>Experience with data modeling tools (e.g., Erwin, ER/Studio, PowerDesigners).</li><li>Knowledge of normalized, de-normalized and dimensional data modeling techniques.</li><li>Familiarity with the travel industry or retail sector and related data structures is a plus.</li><li>Ability to communicate effectively with technical and non-technical stakeholders.</li><li>Strong analytical and problem-solving skills.</li></ul>

Responsibilities: AI Solution Development:&nbsp; <ul><li>Ability to translate business problems to AI problem statement, Ability to evaluate the need of AI &amp; optimal use of AI. Design and develop Gen AI applications and AI algorithms to address complex challenges across various domains.</li></ul> Data Analysis and Interpretation:&nbsp; <ul><li>Analyze large datasets to derive actionable insights and make data-driven decisions.</li></ul> Model Training and Optimization:&nbsp; <ul><li>Finetune LLM Models with custom data, continuously improve model performance through rigorous training and optimization processes.</li></ul> Collaborative Problem-Solving:&nbsp; <ul><li>Work closely with cross-functional teams to solve pressing challenges and enhance product capabilities.</li></ul> Strategic AI Implementation:&nbsp; <ul><li>Architect and scale AI solutions across the organization, ensuring alignment with business objectives.</li></ul> Leadership and Team Development:&nbsp; <ul><li>Mentor and lead a team of AI professionals, fostering a culture of innovation and continuous learning.</li></ul> Requirements: Educational Background:&nbsp; <ul><li>Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a closely related field.</li></ul> Technical Proficiency:&nbsp; <ul><li>Strong experience in programming languages like Python, Java, or C++ and familiarity with AI frameworks such as TensorFlow or PyTorch.</li></ul> Experience:&nbsp; <ul><li>At least 8-10 years of relevant experience in developing and implementing AI solutions.</li></ul> Analytical Skills:&nbsp; <ul><li>Proficient in using advanced data analytics tools and techniques to interpret complex datasets.</li></ul> Problem-Solving Abilities:&nbsp; <ul><li>Excellent problem-solving skills to devise innovative solutions and optimize AI algorithms.</li><li>&nbsp;Advanced Degree: Masters degree in a relevant field.</li><li>Specialized Knowledge: Deep understanding in NLP techniques, supervised and unsupervised machine learning, statistical modeling, and predictive analytics.</li><li>Industry Experience: Prior experience in the airline industry, particularly in roles focused on customer experience or digital transformation.</li><li>Cloud Experience: Experience with cloud platforms such as AWS, Azure, or GCP, preferably Azure.</li><li>LLM Application Integration: Previous work experience or personal experience in integrating LLMs into production applications or building LLM powered applications using LangChain or other frameworks.</li><li>Leadership Experience: Proven track record of successfully leading AI projects and teams, ability to work across teams – cross functional , knowledge of agile delivery</li><li>Continuous Learning: Commitment to staying updated with the latest advancements in AI and machine learning."</li></ul>

Responsibilities: <ul><li>Work with design and engineering teams to review product designs, suggest improvements, and oversee development</li><li>Engage with users to understand their needs and expectations, and help them determine which product is right for them</li><li>Monitor the product lifecycle</li><li>Represent the organization at symposia and congresses.</li><li>Develop business plans and product positioning in the marketplace</li></ul> Requirements: <ul><li>Advanced Degree: Masters degree in computer science, Artificial Intelligence, or a relevant field.</li><li>Educational Background: Bachelor’s degree in computer science, Artificial Intelligence, Data Science, or a related field.</li><li>Technical Skills: Proficiency in programming languages such as Python, Java, or C++, and familiarity with AI frameworks like TensorFlow or PyTorch.</li><li>Experience: Minimum 5-7 years of hands-on experience in developing and deploying AI products and solutions.</li><li>Analytical Abilities: Strong analytical skills with the ability to leverage advanced data analytics tools and techniques.</li><li>Problem-Solving Skills: Excellent problem-solving capabilities to devise innovative solutions and optimize AI algorithms for product enhancement.</li><li>Specialized Knowledge: Domain-specific knowledge relevant to the Airline or Travel Industries</li><li>Industry Experience: Previous experience in applying AI solutions within the specific industry, demonstrating a deep understanding of industry challenges and opportunities.</li><li>Cloud Experience: Experience with cloud platforms such as AWS, Azure, or GCP, preferably Azure.</li><li>LLM Application Integration: Familiarity with integrating Large Language Models (LLMs) into product applications or building LLM-powered applications.</li><li>Leadership Experience: Proven ability to lead and influence teams in AI product development projects.</li><li>Continuous Learning: Commitment to staying updated with advancements in AI and machine learning technologies.</li></ul>

Responsibilities: Digital Strategy Development:&nbsp; <ul><li>Develop and implement digital strategies to align with the organizations overall objectives.&nbsp;</li><li>Ensure integration of digital plans across various departments.</li></ul>&nbsp;Governance and Compliance:&nbsp; <ul><li>Establish and maintain governance frameworks to ensure compliance with digital policies and regulations.&nbsp;</li><li>Monitor and report on compliance and risk management related to digital initiatives.</li></ul>&nbsp; Project Management:&nbsp; <ul><li>Oversee digital projects from conception to completion, ensuring timely delivery within budget.&nbsp;</li><li>Coordinate with cross-functional teams to ensure seamless execution of digital plans.</li></ul>&nbsp;Data Management and Analytics:&nbsp; <ul><li>Develop and implement data governance policies.&nbsp;</li><li>Utilize data analytics to inform decision-making and optimize digital performance.</li></ul>&nbsp;Stakeholder Management:&nbsp; <ul><li>Engage with key stakeholders to gather requirements and ensure their needs are met.&nbsp;</li><li>Communicate digital plans and progress to senior management and other stakeholders.</li></ul>&nbsp;Continuous Improvement:&nbsp; <ul><li>Stay updated with the latest digital trends and technologies.&nbsp;</li><li>Implement continuous improvement processes to enhance digital capabilities.&nbsp;</li><li>Responsible for developing and maintaining a quarterly and annual plan for the Digital organisation.&nbsp;</li><li>Aligning with business and our delivery partners, managing the budget and support the management of our strategic partner contracts.&nbsp;</li></ul> Requirements: <ul><li>Proven experience in digital planning, governance, or a related field.</li><li>Excellent communication and interpersonal skills.</li><li>Strong analytical and problem-solving abilities.</li><li>Leadership and team management capabilities.</li><li>Experience managing digital projects and working with cross-functional teams.</li></ul>

Responsibilities: <ul><li>Design and implement scalable data pipelines and data warehouse solutions using Informatica PowerCenter.</li><li>Develop ETL processes to ingest data from various sources into the data warehouse.</li><li>Optimize and tune SQL queries for performance improvements.</li><li>Collaborate with cross-functional teams (e.g., Data Scientists, Analysts, Software Engineers) to understand data requirements and deliver solutions.</li><li>Ability to understand and integrate data sources based on different technologies like Streaming Data, Change Data Capture, APIs , Message Queues, Semi-structured(JSON,XML) and unstructured data.</li><li>Analyze raw data to determine optimal solutions for data processing and ingestions</li><li>Implement data quality and validation processes to ensure high data integrity and reliability.</li><li>Monitor and troubleshoot data pipeline issues and implement solutions in a timely manner.</li><li>Document technical designs, data mappings, and configuration management processes.</li></ul> Requirements: <ul><li>Bachelor’s degree in Computer Science, Engineering, or a related field.</li><li>3-4 years of hands-on experience in data engineering roles.</li><li>Proficiency in Informatica Informatica IICS (ECDI, CDI CAI, Mass Ingestion etc) for designing and developing ETL workflows.</li><li>Strong SQL programming skills with experience in optimizing queries and database performance.</li><li>Experience working with large-scale data warehousing and data modeling concepts.</li><li>Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus.</li><li>Excellent problem-solving skills and ability to work independently as well as part of a team.</li><li>Strong communication skills and ability to collaborate effectively across teams.</li></ul>

Responsibilities: <ul><li>Manage and maintain application-related components e.g. BDM, MFT Java, Unix scripts</li><li>Participate in business requirements gathering and work closely with BA, Tech, EA on delivery of minor enhancements</li><li>Create, maintain and review design documentations</li><li>Implement and manage change requests pertaining to application-related components e.g. S3, BDM, MFT</li><li>Work with other relevant teams as required e.g SCP, IOC, Production Control, Infrastructure, Security, Audit</li><li>Work with platform and application teams to manage and close incidents or issues, and implement changes</li><li>Document and update Standard Operating Procedures (SOP)</li><li>Manage and maintain batch job execution and troubleshooting</li></ul> Requirements: <ul><li>Bachelors degree in software engineering</li><li>At least 5 progressive years of Informatica technical experience with Enterprise Data Warehouse design and development using Informatica</li><li>Proficiency in Informatica BDM is mandatory</li><li>Experience in ETL, Data Ingestion, Investment Data transformation</li><li>Experience in DWH design and knowledge of its best practices</li><li>Proficiency in Postgres, Unix</li><li>Knowledge in data integration e.g MuleSoft, AWS S3, SFTP, Webservices</li><li>Knowledge in Workday, Simcorp, Markit EDM</li><li>Able to understand the business, technical requirements and convert them into design-and-build</li><li>Able to do performance tuning of Informatica BDM jobs</li><li>Able to present solutions to architects and get approval</li><li>Able to troubleshoot complex data issues and resolve them within Service Level Agreements (SLA)</li><li>Ability to partner with product vendors and implementation teams</li></ul> Preferred Requirements: <ul><li>Knowledge in Informatica MFT / Axway</li><li>Knowledge in integration tools</li><li>Knowledge in project management</li><li>Experience gained from banking and finance industry</li></ul>

Responsibilities: <ul><li>Tactical problem solving and strategic planning of the Digital infrastructure through platform technology roadmaps</li><li>You may be asked to lead or manage a small team of infrastructure architects</li><li>Clear problem and requirement identification ties to business case/value definition</li><li>Design, construct, test and implement process and technology services and systems while adhering to established standards and architecture via leading established methodologies including Agile and Waterfall</li><li>Ensure appropriate documentation is developed in support of value realization</li><li>Plans tasks and estimates the required research and volume of activities to complete work</li><li>Researches issues, develops recommendations and actively participates on project teams to develop solutions to business problems related to a broad range of business and product issues</li><li>Responsible for creating and reviewing Application Architecture for Digital Applications and provide technical leadership in the evaluation of Digital solutions to satisfy business and technical requirements</li><li>Support Solution Architects in development of solution architectures that touches Digital solutions including evaluation, selection and integration of necessary technical components</li><li>Collaborate with Delivery Manager and is able to oversee the entire project life cycle</li></ul> Requirements: <ul><li>Qualifications for a job description may include education, certification, and experience.</li><li>List any licenses or certifications required by the position: TOGAF, ITIL, CPE, AWS, ACE, MCSE, ECM, AIIM, SSL, GCP</li><li>Typically a job would require a certain level of education.</li><li>Employers hiring for the digital architect job most commonly would prefer for their future employee to have a relevant degree such as Bachelors and Masters Degree in Computer Science, Engineering, Technical, Information Technology, Education, Business, Technology, Information Systems, Software Engineering, Mathematics</li></ul>

Responsibilities: <ul><li>Offering Enhanced Solution Delivery to Process Automation, Power Transmission &amp; Distribution, and Power Generation industries helping customers jumpstart to digital focusing on asset optimization, efficiency and &amp; thereby cost savings.</li><li>Dealing with customers on solutions that have a combination of technology and business process re-engineering that comprises end-end solutions covering IT (CRM platforms, Enterprise Content Management), OT, Security, Cloud Technologies, Data Analytics, and dash-boarding / visualization solutions, Smart Manufacturing/Industry 4.0</li><li>Participating and presenting in industry-specific events while liaising with key stakeholders in Govt sectors and building Go-To-Market plans.&nbsp;</li><li>Assessing future market trends in the industry and offering recommendations and closely working with internal sales to build a healthy funnel of projects.&nbsp;</li><li>Explore AI, Digital Twins, etc. to gain insights and strategic competitive advantage&amp; drive strategic initiatives with large accounts and end-user seminars.&nbsp;</li><li>Closely work with the internal strategic team to support and build eco-system partners to enhance solutions and customer experience.&nbsp;</li><li>Engaging with customers, and consultants, and mapping key stakeholders in an organization to educate and promote company solutions &amp; being a speaker to present company Enhanced Solutions to customers and industry events.&nbsp;</li><li>Managing end-to-end operations in the visualization of the shop floor to ensure enhanced production efficiency, quality, and reduced downtime.&nbsp;</li></ul> Requirements: <ul><li>Education – Degree in relevant discipline with a minimum of 10+ years’ sales experience in the Automation sector.</li><li>Markets – Technically strong and familiar with smart manufacturing that covers – IoT, networking, security, edge, and cloud solutions.&nbsp;</li><li>Should understand the entire automation process from the field to the control center/cloud. Experience in project sales with industry connections at every level with End Users, Consultants, System Integrators, and EPCs.&nbsp;</li><li>Relevant knowledge of field-level process areas in manufacturing will be an added advantage.&nbsp;</li><li>Customers Define our Success – Should be able to independently conduct presentations and should be good at articulating business cases to customers/partners and senior management.&nbsp;</li><li>Organizational leadership skills - aggressive in achieving results, while collaborating and communicating effectively with other members of the team and partners.</li><li>Relevant Industry Experience – Process, Pharma, Metal, Mining, CPG, Cement, and other manufacturing industries.</li><li>Strong connections with consultants will be an added advantage.&nbsp;</li><li>Must have connections with C-level executives at the end-user level.&nbsp;</li><li>Should have connections with major SIs and EPC contractors in this space.&nbsp;</li><li>A good social network will be preferred.</li></ul>

Responsibilities: Ownership:&nbsp; <ul><li>Collaborate with business and P&amp;C leaders to set up and execute global learning and development processes (assess competence development needs, create learning methods and solutions, develop training centre and trainers, deliver, and manage training) to meet company’s short- and long-term competence goals for the business&nbsp;</li><li>Help to set global/local priorities and budget for competence development based on the company strategy and business goals, work with P&amp;C, business, and L&amp;D network to make global/local plans for competence development. Help business to define business impact and learning outcomes for competence development programs.&nbsp;</li><li>Provides consultation for P&amp;C, managers, and employees with questions about learning and development, and advise on the different learning and development approaches for business outcome and support.&nbsp;</li><li>Owns the annual Frontline Training Plans and contributes to One P&amp;C team, executes L&amp;D plans with impact together with P&amp;C community.&nbsp;</li><li>Drives local business agenda with L&amp;D expertise, challenges and concludes L&amp;D deliveries that improve business results.&nbsp;</li><li>Works closely with Cluster/FL business leaders and P&amp;C colleagues to drive L&amp;D agenda as well as consult on development. Provides L&amp;D services and delivers selected trainings for the cluster/FL.&nbsp;</li><li>Governs and consults on learning needs by broadening stakeholders’ views on what gets solved with training and what is something else.&nbsp;</li><li>Leads P&amp;C Services training coordinators for the cluster/FL to optimal efficiency and value.&nbsp;</li><li>Focuses on field training discipline, data accuracy and KPIs transparency including improvement suggestions.&nbsp;</li><li>Develops learning assets e.g., Training Centres towards full utilization &amp; impact&nbsp;</li><li>Ensures relevant learning offering and L&amp;D operational excellence across cluster/FL in sync with Area and Global L&amp;D direction.&nbsp;</li><li>Responsible for development and performance management of the L&amp;D team in the Front line.&nbsp;</li></ul> Contribute:&nbsp; <ul><li>Communicates continuously L&amp;D value, services, and operating model to all relevant cluster/FL stakeholders&nbsp;</li><li>Facilitates and promotes learner centric learning culture. Acts as a project manager for certain learning projects such as induction renewal.&nbsp;</li><li>Impacts Area and global L&amp;D by explicitly articulating cluster/FL learning needs and offering feedback.</li></ul> People leader, network management: <ul><li>Lead cluster/FL L&amp;D teams’ engagement and recognition for business relevance and learning impact with transparency and data.&nbsp;</li><li>Leads and manages internal trainer networks across the cluster/FL.&nbsp;</li></ul> Level of decision making:&nbsp; <ul><li>Responsible for L&amp;D KPIs and business metrics for cluster/FL level for non-technical and technical competence development&nbsp;</li><li>Contribute to big picture as member of Area L&amp;D Leadership Team&nbsp;</li><li>CoE Budgeting for cluster/FL (OPEX and Capex)&nbsp;</li></ul> Performance metrics:&nbsp; <ul><li>Priority learning solutions management/adoption % for cluster/FL&nbsp;</li><li>Mandatory field certifications for safety and methods in place &amp; valid for all field operatives in cluster/FL&nbsp;</li><li>External spend on training vendors &amp; venues in cluster/FL&nbsp;</li><li>Field Trainer utilization, TC utilization, learning solution reach, and NPS in cluster/FL&nbsp;</li><li>Workday Learning data quality (Learning management system) LMS&nbsp;</li><li>Global learning offering utilization vs. local offering quantity in cluster/FL&nbsp;</li><li>Internal trainer pools strength and retention in cluster/FL&nbsp;</li><li>P&amp;C Services / training coordination satisfaction for cluster/FL</li></ul> Requirements: <ul><li>Master’s degree in human resources, education, or related field&nbsp;</li><li>10+ years of experience in learning and development, including designing, implementing, and evaluating training programs, preferably in multinational company.&nbsp;</li><li>Experienced in managing learning needs and priorities through business partnering and data analysis.&nbsp;</li><li>Good leadership and influencing skills.&nbsp;</li><li>Proven experience in managing and leading a team of learning professionals.&nbsp;</li><li>Proven facilitation and team coaching skills&nbsp;</li><li>Excellent business communication and interpersonal skills with the ability to interact effectively with stakeholders &amp; employees at all levels of the organization.&nbsp;</li><li>Ability to identify competence development needs and translate the needs into competence development plans for various functions and units.&nbsp;</li><li>Experience and ability to facilitate workshops / planning meetings with various stakeholders.&nbsp;</li><li>Ability to plan and manage initiatives effectively&nbsp;</li></ul>

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285 aerospace engineering Jobs found

Sr. Solution Consultant, Transportation

Data Modeler

AI Lead

Product Specialist

Digital Planning & Governance Manager

Data Engineer

Data Engineer (Informatica)

Digital Architect

Sr. Business Development Manager - Process Automation

Senior L&D Manager, Frontline (KSEA)

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285 aerospace engineering Jobs found

Sr. Solution Consultant, Transportation

Data Modeler

AI Lead

Product Specialist

Digital Planning & Governance Manager

Data Engineer

Data Engineer (Informatica)

Digital Architect

Sr. Business Development Manager - Process Automation

Senior L&D Manager, Frontline (KSEA)

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

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