5 Analytics Workflows Jobs

As a skilled Technical Project Manager at our company, you will lead and deliver projects in data engineering and analytics. Your role involves managing cross-functional teams to execute data platform, pipeline, and analytics initiatives, ensuring alignment with business goals and timely delivery. **Key Responsibilities:** - Plan, execute, and deliver technical projects on time, within scope, and within budget. - Strong understanding of data pipelines, ETL/ELT, and analytics workflows. - Collaborate with engineering, product, QA, and operations teams to define project requirements and success metrics. - Familiarity with cloud data platforms (AWS, GCP, Azure, Snowflake, Databricks). - Develop detailed project plans, schedules, resource allocations, and risk mitigation strategies. - Lead daily stand-ups, sprint planning, retrospectives, and other Agile ceremonies. - Track project progress using tools like Jira, Confluence, and report status to stakeholders. - Proactively identify and resolve project blockers and dependencies. - Ensure all technical documentation is current and aligned with project goals. - Facilitate communication between technical and non-technical stakeholders. - Manage third-party vendors or external contractors when applicable. - Advocate for continuous improvement in processes, tools, and team efficiency. **Qualifications:** - Bachelors degree in Computer Science, Information Systems, Engineering, or a related field. - 8+ years of experience in project management within a technical environment. - Strong understanding of software development methodologies (Agile, Scrum, Kanban, or Waterfall). - Proficient with project management tools (e.g., Jira, Asana, Microsoft Project). - Excellent communication, negotiation, and stakeholder management skills. - Ability to handle multiple projects simultaneously in a fast-paced environment. The above job description outlines the role of a Technical Project Manager in our company, focusing on leading data engineering and analytics projects effectively.,

As the accountable individual for Analytics Customer Support, you will lead a customer-facing team of managers and subject matter experts in analytics workflows and technology. Your ideal profile includes extensive experience in people leadership, as well as knowledge in fixed income instruments, analytics, models, benchmarking, and customer workflows. The successful candidate will possess qualities such as drive, adaptability, confidence, and a proven ability to thrive in a transformative environment where change is constant. Your primary objectives in this role will be to develop strategies that enhance team productivity, collaboration, and efficiency while maintaining high morale and job satisfaction. You will be responsible for establishing standardized processes and best practices to ensure consistent, high-quality interactions with customers. Additionally, tracking and analyzing performance indicators to identify areas for improvement and implementing data-driven solutions will be crucial aspects of your responsibilities. Key responsibilities will include setting the strategic direction for the Analytics Customer Support function in alignment with company goals, fostering a culture of accountability and performance excellence, and making data-driven decisions to optimize support processes and customer experience. You will also be expected to drive innovation, invest in talent development, and lead with a customer-first mindset, inspiring your teams to deliver exceptional service. Collaboration with other departments such as Product and Marketing to address customer pain points and align support strategies with company goals is essential. You will act as the voice of the customer, sharing insights on customer pain points, trends, and opportunities for product or service improvement. Furthermore, you will influence policy and process changes that enhance both customer and agent experiences and drive customer support's strategic alignment with company-wide initiatives. To excel in this role, you should have at least 5 years of combined experience in analytics workflows, customer support operations, service management, or customer success. Experience as a People Leader with a proven record of attracting, developing, and retaining talent is highly desirable. Additionally, possessing skills and behaviors such as dealing with ambiguity, creating purpose, agility in decision-making, and emotional intelligence will be key to your success. In return, London Stock Exchange Group (LSEG) offers a dynamic work environment where individuality is valued, and employees are encouraged to bring their true selves to work. You will be part of a collaborative and creative culture that values new ideas and is committed to sustainability across the global business. LSEG provides a range of benefits and support, including healthcare, retirement planning, paid volunteering days, and wellbeing initiatives. If you are passionate about driving financial stability, empowering economies, and enabling sustainable growth, this role at LSEG could be the perfect opportunity for you. Join us in our mission to accelerate the transition to net zero, support the growth of the green economy, and create inclusive economic opportunities.,

Job Description: Product Owner / Product Manager (AI Solutions) Location: Delhi NCR Level: Manager About EXL Service EXL Service is a global leader in analytics, digital operations, and AI-driven business transformation. We are accelerating our AI-first strategy with solutions like MiAI Call Simulator, AI Trainer, Upskill.AI, and Transition AI Toolkit that drive measurable business impact across Insurance, Healthcare, Banking, and Retail industries. We are seeking Manager-level Product Owners / Product Managers with strong foundations in AI tools and enterprise SaaS to drive product innovation, adoption, and client success. Key Responsibilities Product Ownership & Strategy Own end-to-end product lifecycle: vision, roadmap, backlog, and release planning. Partner with business stakeholders to translate enterprise needs into AI-enabled product capabilities . Define product OKRs and success metrics aligned with EXL's strategic initiatives. AI-Enabled Product Delivery Translate functional requirements into user stories/epics with AI-centric features (e.g., GenAI, Agentic AI, Process Mining). Ensure seamless integration with ITSM, CRM, and enterprise systems (ServiceNow, Salesforce, Jira, etc.). Work with engineering, design, and data science teams to deliver AI-first solutions with measurable ROI. Stakeholder Management Act as the primary liaison between business operations, AI engineering teams, and client leadership . Drive adoption through demos, workshops, and continuous feedback loops with end-users. Collaborate with sales, solutioning, and consulting teams to embed AI into client delivery models. Governance & Compliance Ensure products adhere to InfoSec, Data Privacy, and Compliance frameworks (e.g., PCI-DSS, HIPAA, GDPR). Establish governance models for AI deployment (e.g., human-in-the-loop validation, data bias checks, auditability). Required Skills & Experience Core Product Management 6-10 years of experience in Product Management / Product Owner roles , with at least 2-3 years in AI/ML, automation, or digital transformation domains. Proven success in enterprise product delivery (preferably SaaS/AI platforms). Strong background in backlog management, agile ceremonies, and release planning . AI & Digital Expertise Hands-on knowledge of AI/ML tools & platforms (Azure OpenAI, LangChain, UiPath, PowerBI, ServiceNow, etc.). Exposure to GenAI/LLM applications , AI training simulations, or automation solutions. Understanding of data pipelines, analytics workflows, and model governance . Business & Domain Understanding Experience in one or more industries: Insurance, Healthcare, Banking, or Retail operations . Ability to translate business requirements into AI-powered solutions . Strong understanding of KPIs, SLAs, and compliance requirements . Leadership & Soft Skills Strong communication, stakeholder management, and client-facing skills. Ability to lead cross-functional squads (engineering, AI scientists, designers, SMEs). Entrepreneurial mindset with passion for scaling AI-enabled products . Preferred / Good-to-Have Certifications: CSPO, POPM, SAFe PO/PM, or AI Product Management . Experience in Process Mining, Task Mining, or workflow automation . Exposure to cloud-native AI infrastructure (Azure, AWS, GCP). Prior experience in consulting or Big 4 environments .

You are a Senior Engagement Manager with extensive experience in leading data projects utilizing Agile methodologies, specifically focusing on Databricks platform implementations and migrations within the healthcare industry. Your role involves efficiently managing dependencies across complex data initiatives and ensuring successful delivery of Databricks-based Modern Data Platform implementations. In this position, you will take charge of client engagements related to Databricks platform implementations and migrations from legacy systems. Your responsibilities include applying Agile methodologies to oversee project delivery, developing and maintaining project plans, timelines, and resource allocations using modern tracking tools, managing project dependencies, risks, and issues effectively, and serving as the primary contact between client stakeholders and delivery teams. Additionally, you will collaborate with technical teams to guarantee that solutions meet client requirements and comply with best practices, conduct regular status meetings to provide transparent reporting on project progress, manage project scope, timeline, and budget to ensure successful delivery within constraints, identify and proactively mitigate project risks, drive client satisfaction throughout the engagement lifecycle, identify opportunities for additional services and project extensions, facilitate knowledge transfer to client teams, and document project outcomes, lessons learned, and best practices. To qualify for this role, you should possess at least 6 years of experience in managing data projects, particularly with Agile delivery methodologies, a proven track record of successfully implementing data solutions in the healthcare industry, familiarity with Databricks platform implementations and migrations from legacy systems, a strong grasp of modern data architecture including Lakehouse concepts, expertise in Agile project management frameworks such as Scrum, Kanban, and SAFe, experience with modern project tracking tools and dependency management approaches, exceptional client relationship management skills, effective communication and presentation abilities across all organizational levels, the capability to translate complex technical concepts into business value, experience in managing cross-functional teams, and a Bachelor's degree in Computer Science, Information Systems, or a related field with an advanced degree being preferred. Professional certifications such as PMP, PMI-ACP, CSM, or their equivalents are advantageous. In terms of technical knowledge, you should have a basic understanding of the Databricks platform and ecosystem, modern data architecture principles, Agile project management methodologies and tools, data migration strategies and approaches, cloud platforms like AWS, Azure, and GCP, data engineering and analytics workflows, project tracking and dependency management tools, risk management frameworks, as well as budget and resource management.,

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. You will work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers, and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each engagement, partnering collaboratively to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage, and passion to drive life-changing impact to ZS. At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems that shape us as individuals and make us unique. Your personal interests, identities, and desire to learn are integral to your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. **What you'll do:** - Design, build, and manage data workflows and pipelines in Dataiku DSS. - Integrate data from multiple sources including AWS, databases, APIs, and flat files. - Collaborate with data engineering and business teams to translate requirements into scalable data solutions. - Implement data validation, error handling, and monitoring processes within Dataiku. - Support model deployment, scheduling, and performance optimization within the Dataiku environment. - Maintain documentation and version control for Dataiku projects and pipelines. **What you'll bring:** - 3+ years of experience in data engineering or analytics development roles. - Hands-on experience with Dataiku DSS, SQL, Python, and data wrangling. - Familiarity with AWS services, APIs, and data integration tools. - Understanding of data quality, pipeline performance optimization, and analytics workflows. **Additional Skills:** - Strong communication skills, both verbal and written, with the ability to structure thoughts logically during discussions and presentations. - Capability to simplify complex concepts into easily understandable frameworks and presentations. - Proficiency in working within a virtual global team environment, contributing to the timely delivery of multiple projects. - Travel to other offices as required to collaborate with clients and internal project teams. **Perks & Benefits:** ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options, internal mobility paths, and collaborative culture empower you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. **Travel:** Travel is a requirement at ZS for client-facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed, providing opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. **Considering applying ** At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. **To Complete Your Application:** Candidates must possess or be able to obtain work authorization for their intended country of employment. An online application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At: www.zs.com,