About the Role: We are looking for a seasoned Information Management (IM) Tech Lead / Architect to drive the architecture, design, and implementation of enterprise-grade data integration and analytics solutions. This is a strategic, hands-on role ideal for professionals with a deep understanding of data warehousing, ETL processes, and information architecture, coupled with strong leadership and communication skills. You will play a critical role in architecting optimized, scalable data solutions for high-throughput environments, while leading cross-functional teams and aligning technical solutions with business goals. Key Responsibilities: Solution Design and Architecture: Design and architect end-to-end Information Management (IM) solutions, encompassing data warehousing, data integration processes, and data modeling techniques. ETL Pipeline Leadership: Lead the development and optimization of Extract, Transform, Load (ETL) pipelines utilizing Informatica IICS, PowerCenter, and other relevant enterprise tools. Stakeholder Collaboration and Requirements Gathering: Collaborate effectively with various stakeholders to gather business requirements and translate them into detailed technical specifications, ensuring the delivery of high-quality data solutions. Performance and Scalability Management: Ensure optimal performance, scalability, and efficiency within environments characterized by high data throughput and intensive integration demands. Technical Leadership and Mentorship: Provide strong technical leadership and mentorship to development teams, promoting and enforcing best practices in coding standards, data modeling methodologies, and system integration approaches. Reporting and Visualization Support: Support reporting and data visualization initiatives through the effective use of tools such as Power BI. Data Governance and Standards Implementation: Implement and rigorously enforce data governance policies, data quality standards, and established architectural guidelines. Effective Communication: Communicate clearly and effectively with both technical and non-technical stakeholders, maintaining transparency and ensuring alignment across all project phases. Required Skills and Expertise: Information Management Architecture: Demonstrated strong expertise in the design and implementation of comprehensive information management systems. Data Warehousing and Modeling: Possesses a deep understanding of data warehousing concepts, principles, and various data modeling techniques (e.g., relational, dimensional). ETL Workflow Proficiency: Highly proficient in designing, developing, and optimizing ETL workflows for efficient data processing and integration. Informatica Expertise: Hands-on and in-depth experience working with Informatica IICS (Intelligent Cloud Services) and PowerCenter. Technical Team Leadership: Proven track record of successfully leading and guiding technical development teams. Data Analysis Skills: Solid foundation and practical experience in analyzing data to extract meaningful insights and support decision-making. Business Intelligence with Power BI: Experience and proficiency in leveraging Power BI for creating insightful data visualizations and business intelligence reports. Python Scripting: Proficient in using Python for various data-related tasks, including data manipulation, automation of processes, and system integration. AWS Cloud Exposure (Beneficial): Familiarity with Amazon Web Services (AWS) cloud platform and its data-related services is considered a valuable plus. Show more Show less
Lead GenAI Developer Experience: 8+ years Role: Lead GenAI Engineer Location: Pune / Mumbai / Bangalore / Hyderabad Type: Full-Time Responsibilities: Lead end-to-end GenAI solution design, development, and integration. Guide prompt engineering, RAG, LLM fine-tuning, and deployment workflows. Mentor junior developers and enforce engineering best practices. Collaborate with architects and PMs to shape solution roadmaps. Own performance benchmarking, scalability, and reuse across solutions. Requirements: Deep expertise in building GenAI/LLM-based apps. Strong hands-on with Python, LangChain, LangGraph, prompt tuning, and vector stores. Experience with MLOps, API integration, and observability tools. Proven ability to lead teams and deliver complex AI solutions. Stay current with AI trends and tools.
What You'll Do Analyze campaign and funnel performance metrics including traffic, form fills, inquiries, AQLs, MQLs, and contribution to pipeline and revenue. Develop and maintain automated and manual feedback files to pass offline conversion and audience data into advertising platforms (Google, LinkedIn, Facebook). Build and maintain clear, interactive dashboards in Power BI to support marketing stakeholders. Write efficient SQL queries to support reporting and ad hoc investigations across marketing and sales data. Adjust and troubleshoot advertising tags (e.g., floodlight, LinkedIn Insight, Meta Pixel) deployed via Adobe Launch on Avalara’s website. Collaborate with Marketing Ops to ensure proper tagging, campaign hierarchy, and data integrity. Validate and QA data across tools like Adobe Analytics, Salesforce, Marketo, and 6sense. Translate analysis into insights and recommendations for digital campaign optimizations and strategic decisions. What You’ll Need to Be Successful 3–5 years of experience in a marketing analytics, digital marketing, or marketing operations role. Deep understanding of B2B marketing funnels and metrics: website visitors, leads, form fills, inquiries, AQLs, MQLs, and opportunities. Proficiency with Power BI for building user-friendly dashboards and marketing performance reports. Strong SQL skills (intermediate to advanced), including experience with joins, filters, and aggregations across large datasets. Experience managing audience or conversion data uploads into ad platforms (Google Ads, LinkedIn Campaign Manager, Meta Ads Manager). Familiarity with tag management systems , especially Adobe Launch , to deploy or troubleshoot marketing pixels and tags. Ability to reconcile and clean data across marketing systems and deliver actionable business insights. Clear communicator who can collaborate cross-functionally with demand generation, ops, and digital teams
Location:-Pune Experience:- · 7+ years of experience in managing technical programs or projects in collaboration with product-based companies. · Hands-on expertise with Adobe Experience Cloud (Analytics, Launch, Target, AEM) and integration with CRM/automation platforms. • Skills · Strong understanding of customer journey mapping, demand generation, and lead lifecycle management. · Proven track record of delivering complex, cross-functional technology programs that drive measurable business impact. · Ability to manage dependencies, evaluate risks, and influence decision-making across Marketing, Sales, and Engineering. · Strong verbal and written communication skills to engage both technical and non-technical audiences, including leadership. · Comfortable working in globally distributed teams with multiple stakeholders. · Ability to manage ambiguity, make trade-offs, and solve problems creatively under pressure. Nice to Have · Experience with marketing automation platforms (Marketo, Eloqua, or similar) and lead enrichment tools. · Familiarity with data privacy, compliance, and customer data platforms (CDPs). · Technical knowledge of web technologies (React, APIs, SDKs). · Lead the planning, execution, and delivery of strategic MarTech programs with clear scope, milestones, deliverables, and success metrics. · Manage dependencies, risks, and trade-offs while ensuring ROI and scalability. · Coordinate with engineering teams and external partners as needed. · Oversee acceptance of program scope (tasks, deliverables, resources, timelines) and ensure smooth delivery. • Governance & Communication · Maintain frequent and clear communication with all stakeholders, including status reports, risks, KPIs, and executive presentations. · Define and track KPIs to measure program success; drive continuous improvement. · Handle change requests, resource allocation, and scope adjustments proactively. • Process & Collaboration · Champion Agile methodologies and continuous improvement practices. · Identify and implement process improvements to remove bottlenecks and enhance efficiency. · Prepare and maintain governance artifacts and internal documentation
We are seeking an experienced Backend Gen AI Tech Lead to lead the development of cutting-edge AI-powered backend systems. The successful candidate will be responsible for designing, implementing, and scaling AI-driven solutions, leading a team of engineers, and collaborating with cross-functional teams to drive business growth. Key Responsibilities: - Technical Leadership: Lead a team of backend engineers, providing technical guidance, mentorship, and support. - AI Solution Design: Design and implement scalable AI-powered backend systems, leveraging Gen AI technologies. - System Architecture: Develop and maintain the architecture of AI-driven systems, ensuring high performance, scalability, and reliability. - Collaboration: Work closely with cross-functional teams, including data science, product, and engineering, to drive business growth. - Innovation: Stay up-to-date with the latest advancements in Gen AI and apply innovative solutions to business problems. Requirements: - Technical Skills: - Proficiency in programming languages such as Python, Java - Experience with Gen Gen AI frameworks and tools Langchain, Langgraph , RAGAS , Vector database - Knowledge of cloud platforms (e.g., AWS, GCP, Azure). - Experience with containerization (e.g., Docker) and orchestration (e.g., Kubernetes). - Leadership Skills: - Proven experience in technical leadership and team management. - Excellent communication and collaboration skills. - Experience: - Minimum 5+ years of experience in backend development, with a focus on AI/ML. - Experience in leading teams and driving technical innovation. Nice to Have: - Additional Skills: - Experience with data engineering and data science. - Knowledge of DevOps practices and tools. - Familiarity with agile methodologies.