4 Data Retrieval Jobs

What are we looking for We are hiring Manager, Delivery and Operations with over 10+ year of experience to lead and streamline the most critical, always-on operational processes that support our product delivery. This individual will oversee a team responsible for manual data retrievals, credential validations, AI output reviews, and data source additionsfunctions essential to ensuring continuity and reliability of service. This role is designed for a mature leader with a strong grasp of operations at scale, comfort with working in live systems, and an ability to bring structure, accountability, and responsiveness to a 247 environment. The ideal candidate will not only execute and monitor but will also elevate the way processes are documented, reported, and evolved. What will you own Operational Leadership Manage a 247 operational process across data retrieval, verification, and exception handling. Lead a team of long-tenured subject matter experts; bring structure and a fresh operational lens. Maintain service continuity, reduce turnaround times, and ensure issue resolution at scale. Process Oversight & Monitoring Monitor live dashboards, task queues, and error flows to keep manual interventions within SLA. Ensure appropriate handoffs, shift coverage, and accountability across time zones. Set up escalation protocols for system-critical issues and delays. Reporting & Metrics Build and own weekly/monthly reporting frameworks for: Manual interventions Success/failure trends Recovery paths Team throughput and capacity Collaborate with analytics or platform teams to improve visibility and predictability of ops workflows. Documentation & Process Optimization Audit and refine existing SOPs; enforce documentation discipline. Identify bottlenecks or repeated patterns and surface those for product/engineering input. Help define the operational playbook for scale, not just firefighting. Cross-functional Interface Be the primary operations partner to internal stakeholders (product, tech, client delivery). Represent the teams input in sprint planning or process automation discussions where required. What Youll Bring 10-14 years of experience in data operations, process management, or high-availability back-office functions Proven track record leading shift-based or 247 teams Excellent judgment in balancing urgency with quality Operational discipline: strong documentation habits, process adherence, issue tracking Ability to lead a team with institutional knowledge and gradually elevate performance standards Good-to-Have: Exposure to automation systems, or credentialed data access platforms Experience in scaling manual operations into repeatable or semi-automated processes Comfort with reporting tools (Google Sheets, basic SQL, dashboards like Grafana or AWS QuickSight What Success Looks Like SLA adherence across retrieval, validation, and data source processes Team is fully aligned with documented SOPs and clear shift responsibilities Weekly insights shared with leadership to improve manual/automated balance Reduced firefighting and improved predictability in 247 delivery

10+ yrs managing Data apps in Java based tech.,good exposure to cloud & web deve. 5+ yrs in customization implementation of IBM MDM AE & SE Core Java AWS S3 & Google Cloud Storage SQL batch processing Realtime API Services CI/CD pipelines

About this role: Wells Fargo is seeking a Lead Analytics Consultant with a proven track record of success preferably in the banking industry. In this role, you will: Advise line of business and companywide functions on business strategies based on research of performance metrics, trends in population distributions, and other complex data analysis to maximize profits and asset growth, and minimize operating losses within risk and other operating standards Provide influence and leadership in the identification of new tools and methods to analyze data Ensure adherence to compliance and legal regulations and policies on all projects managed Provide updates on project logs, monthly budget forecasts, monthly newsletters, and operations reviews Assist managers in building quarterly and annual plans and forecast future market research needs for business partners supported Strategically collaborate and consult with peers, colleagues, and mid-level to senior managers to resolve issues and achieve goals Lead projects, teams, or serve as a peer mentor to staff, interns and external contractors Required Qualifications: 5+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education. Desired Qualifications: 5+ Years hands on experience of working with SQL is a must. SQL: Write and optimize complex SQL queries for data retrieval, manipulation, and reporting. Design and implement efficient database structures and schemas to support application functionality. Collaborate with stake holders to understand data needs and translate them into effective database solutions. Ensure data integrity, security & compliance with regulatory standards. Demonstrate comprehensive understanding of US home mortgage business and related processes. Minimum of 2 years of experience in leading teams and managing the delivery of projects or initiatives. Consultative skills: should have the ability to rationalize business needs and solution design from people not knowing how to ask precisely for what they need. Excellent communication and interpersonal skills to build and maintain relationships at all levels, engage and influence stakeholders. Proven experience in aspirational people leadership, demonstrating the ability to inspire and motivate teams towards common goals Ability to perform analysis, build hypothesis, draw conclusions and communicate clear, actionable recommendations to business leaders & partners. Strong understanding of business drivers and industry trends of lending products & home lending in specific. Detail oriented, results driven, and can navigate in a quickly changing and high demand environment while balancing multiple priorities.

Job Description The Video Perception (ViPER) team is responsible for developing cutting-edge solutions for Advanced Driver Assistance Systems (ADAS). Our team is responsible for developing end-to-end solutions by leveraging the latest advancements in the field of computer vision/deep learning. Our goal is to drive the future of autonomous driving systems by providing reliable, high-performance video perception systems. We are looking for a talented & driven engineers to join our Retrieval team within ViPER which is responsible for building high-performance systems to ingest and retrieve large-scale driving data, critical for training and validating ADAS models. You will work closely with perception, planning & feature teams to develop intelligent data selection pipelines that power machine learning workflows across various ADAS features. The ideal candidate should have experience in building large-scale data systems, efficient querying techniques along with retrieval & recommendation systems, and a strong understanding of deep learning fundamentals. You will deploy tools & services which will be used to retrieve edge-case scenarios, be responsible for developing powerful search and indexing tools, and optimize data pipelines for automating dataset curation for training & validation. Requirements Strong technical background: At least a Bachelors/Master of Engineering in Computer Science or Electrical Sciences or related areas with 4 years of industry experience in designing and implementing vision-based algorithms [prior knowledge of working with deep neural networks is a strong plus]. Skilled software engineer with experience in Python/C++ coupled with strong problem-solving skills. Passionate about solving real-world problems: Ideally worked on autonomous driving systems before. A team player: You take ownership and work with the team to deliver exceptional results. Ability to build and iterate quickly (AGILE mindset). You enjoy working in a fast-paced environment, and you are comfortable in all stages of a product development cycle. Good hands on: You like working with production grade machine learning pipelines, from dataset curation all the way till training, validation & deployment. Good communication skills: You are able to explain technical solutions clearly to all stakeholders. You have experience writing clear, concise, and detailed documentation. Skills Strong knowledge in DL (3yrs min): Computer vision (object detection, segmentation, depth estimation), Sensor fusion (camera, radar, LiDAR), Supervised & Self-supervised learning & Transfer Learning, CNNs and transformers, Real-time model deployment and optimization, Data augmentation and annotation, Scene understanding and 3D perception, Active learning and Semi-automated data annotation techniques Hands on experience in Full stack Vision/Image related projects in production (3yrs min) Data: Visualization, Data preparation, Data handling, Data analysis & deriving insights Model frameworks: Tensorflow & PyTorch Deployment: Docker, Kubernetes Cloud deployment: Azure/AWS Other skiils: Git, Linux, Cuda, OpenMP, Distributed systems Qualifications B.E/B.Tech