Excellent Opportunity for Data Modeler for Kolkata. Skill Required: Data Modeling, SAS, Oracle Data Base, Banking Domain. Experience in Analysing, Designing and Developing Business Intelligence (BI) database applications using MS SQL Server, SSAS. Experience in analysing, processing SSAS cubes to store data to OLAP databases Good at building MDX queries and Data Mining Expression (DMX) queries for Analysis Services cubes& Reporting Services. Solid understanding of Data Modelling, Evaluating Data Sources and Data Warehouse/Data Mart Design, ETL, BI, OLAP, Client/Server applications. #datamodeler #SAS #Banking Please share CV on nitin.panchal@inspiraenterprise.com Show more Show less
Job Title: Senior ETL Developer - SAS (BFSI) Department: Data Management & Analytics Reporting To: Lead Data Engineer / Manager, Data Warehousing Location: Kolkata, West Bengal, India Experience: 7-10 Years Job Summary: The Senior ETL Developer - SAS (BFSI) will be a key contributor to the design, development, implementation, and maintenance of the bank's data integration and warehousing solutions, with a strong specialization in SAS ETL tools and technologies. Leveraging their extensive experience within the Banking, Financial Services, and Insurance (BFSI) domain, the successful candidate will be responsible for building robust, scalable, and efficient data pipelines to support critical business functions, regulatory reporting, risk management, and analytics initiatives. This role requires deep expertise in SAS data integration components, a solid understanding of BFSI data landscapes and regulations, strong SQL skills, and excellent problem-solving and communication abilities. Responsibilities: SAS ETL Development: Design, develop, and implement complex ETL processes and workflows using SAS Data Integration Studio, SAS Enterprise Guide, and other SAS ETL-related tools to extract data from various source systems relevant to the BFSI sector (e.g., core banking, transactional systems, insurance platforms, market data feeds), transform it according to business rules and regulatory requirements, and load it into target data warehouses or data marts. BFSI Data Expertise: Apply a strong understanding of BFSI data models, common data elements, and industry-specific regulations (e.g., BASEL, RBI guidelines, Solvency II, IFRS) to ensure data integration processes meet compliance and business needs. Performance Optimization: Identify and implement performance tuning techniques for SAS ETL jobs, SAS procedures, and SQL queries to ensure optimal system performance and efficient data processing of large BFSI datasets. Data Quality and Governance: Implement and enforce data quality checks and validation rules within SAS ETL processes to ensure data accuracy, consistency, and integrity, adhering to the bank's data governance policies and BFSI-specific data quality standards. Troubleshooting and Support: Investigate and resolve data integration issues specific to SAS environments and BFSI data flows, perform root cause analysis, and implement effective corrective actions. Provide expert-level support and maintenance for existing SAS ETL processes and data pipelines. Documentation: Create and maintain comprehensive technical documentation for SAS ETL processes, data mappings, SAS code, workflows, and system configurations, ensuring compliance with BFSI documentation standards. Collaboration: Work closely with data analysts, business users across various BFSI domains (e.g., Retail Banking, Corporate Banking, Risk, Finance, Insurance), and other IT teams to understand data requirements, translate them into technical specifications for SAS ETL development, and deliver effective data integration solutions. SAS Platform Management: Contribute to the administration and maintenance of the SAS platform, including performance monitoring, security configurations, and upgrades related to SAS ETL components. Technology Evaluation: Evaluate new SAS features and related technologies to identify potential improvements to the bank's data integration capabilities within the SAS ecosystem. Automation: Identify opportunities to automate SAS ETL processes, data quality checks, and monitoring activities using SAS scripting and scheduling tools to improve efficiency and reduce manual effort. Security and Compliance: Ensure that SAS ETL processes and data handling comply with the bank's security policies and relevant BFSI regulatory requirements. Mentoring: Provide technical leadership, guidance, and mentorship to junior SAS ETL developers within the team, promoting best practices in SAS development within the BFSI context. Required Skills and Experience: Bachelor's degree in Computer Science, Information Technology, Statistics, Economics, or a related field. Proven experience of 7-10 years in designing, developing, and implementing ETL solutions with a strong focus on SAS ETL tools (SAS Data Integration Studio, SAS Enterprise Guide, Base SAS, SAS Procedures) . Deep understanding of the Banking, Financial Services, and Insurance (BFSI) domain, including common data models, business processes, and regulatory requirements. Strong proficiency in SQL and experience working with relational databases relevant to the BFSI sector (e.g., Oracle, SQL Server, DB2). Solid understanding of data warehousing concepts, dimensional modeling, and ETL best practices within the context of BFSI data. Experience with various data formats common in BFSI (e.g., fixed-width, delimited, XML, regulatory reporting formats) and data transfer protocols. Extensive experience in performance tuning of SAS ETL jobs, SAS code, and SQL queries for large BFSI datasets. Strong understanding and practical application of data quality management principles and tools within SAS. Excellent analytical, problem-solving, and troubleshooting skills specifically related to SAS ETL and BFSI data challenges. Strong communication (both written and verbal) and interpersonal skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders in the BFSI context. Ability to work independently and lead technical aspects of projects within a team. Experience with version control systems (e.g., Git). Preferred Skills: Advanced SAS certifications (e.g., SAS Certified Data Integration Developer, SAS Certified Advanced Programmer). Experience with SAS analytical tools (e.g., SAS Enterprise Miner, SAS Visual Analytics) and how they integrate with SAS ETL processes in a BFSI setting. Knowledge of data governance frameworks and tools relevant to the financial industry. Experience with cloud-based data warehousing and ETL services and their integration with SAS. Familiarity with scripting languages like Python or Shell scripting for automation and integration with SAS. Exposure to big data technologies (e.g., Hadoop, Spark) and their interaction with SAS in a BFSI environment. Experience with data virtualization technologies. Understanding of data security and compliance standards relevant to the BFSI sector. Personal Attributes: Highly motivated and results-oriented with a strong focus on delivering high-quality solutions for the BFSI domain. Exceptional attention to detail and a strong commitment to data accuracy and regulatory compliance. Ability to learn and adapt to new SAS features, BFSI regulations, and data technologies quickly. Proactive and able to take initiative in identifying and implementing improvements to data integration processes within the BFSI context. Strong sense of ownership and responsibility for the integrity and performance of data pipelines supporting critical BFSI functions Please share CV on nitin.panchal@inspiraenterprise.com Show more Show less
This Position essentially requires only SAILPOINT Experience Are you an IAM expert looking to elevate your career? Join Inspira Enterprise and be part of a global security powerhouse delivering transformative solutions across industries. 🔍 We are Hiring for: 👉 SailPoint Developer / Implementation / Operations Specialists 👉 Experience: 4+ years 👉 Skills: Hands-on with Java, Python, PowerShell, Beanshell scripting 🎓 Education: Open to any graduate 🌍 Location: Anywhere in India (Remote/Hybrid – as applicable) 💼 Why join us? ✅ Work on global IAM projects ✅ Collaborate with cross-functional security experts ✅ Thrive in a growth-driven, innovation-led environment If Selected in first round, candidate should be available for in-person interview (Across locations) Show more Show less
Company Description Inspira Enterprise is a global cybersecurity, data analytics, and AI services provider with a presence in North America, ASEAN, Middle East, India, and Africa regions. The company offers extensive cybersecurity services from basic perimeter security to complex incident management and response. Inspira's Managed Analytics service helps customers bridge data strategies with business outcomes. The company operates 5 Cyber Fusion Centers providing round-the-clock support to clients worldwide. Role Description This is a full-time on-site role for a Lead Generation Specialist – Cybersecurity. The specialist will be responsible for generating new leads, conducting lead generation activities, communicating effectively, driving sales, and conducting research to support business growth. Qualifications New Leads and Lead Generation skills Communication and Sales skills Research skills Experience in cybersecurity or related industry Bachelor's degree in Marketing, Business, or related field Previous experience in lead generation or sales roles Show more Show less
Job Summary: The Head of Presales – AI Solutions leads the technical sales strategy and solutioning efforts for AI-driven offerings across industry verticals. This role is responsible for leading a team of solution architects and presales engineers to articulate the value of AI/ML technologies to clients, develop winning proposals, and support the sales lifecycle from qualification to closure. Key Responsibilities: Leadership & Strategy Define and drive the presales strategy for AI/ML solutions across geographies and verticals. Build and lead a high-performing presales team comprising AI solution architects, data scientists, and technical consultants. Collaborate with product, engineering, and marketing to align go-to-market strategies with customer needs. Client Engagement Engage with C-level executives and business stakeholders to understand business challenges and translate them into AI-driven opportunities. Conduct discovery sessions, workshops, and technical deep-dives to shape client requirements. Solutioning & Proposal Support Oversee the design and development of AI/ML solution architectures, prototypes, and demos tailored to client needs. Manage RFP/RFI responses, technical proposals, and solution presentations. Ensure alignment of proposed solutions with client goals, budget, and timelines. Sales Enablement Train and support sales teams with product/solution knowledge, value propositions, and competitive positioning. Drive technical win strategies and collaborate on deal closure activities. Need do to Business Development. Innovation & Market Intelligence Stay abreast of the latest AI/ML technologies, frameworks, and competitive landscape. Collaborate with innovation and delivery teams to package repeatable AI offerings and accelerators. Key Requirements: Education & Experience Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field. 15+ years of experience in presales or solution consulting in IT, with at least 5 years in AI/ML or data science domains. Proven experience in leading large presales or solutions teams in enterprise sales cycles. Technical Skills Strong understanding of AI/ML concepts, model lifecycle (MLOps), data engineering, and cloud AI services (Azure AI, AWS SageMaker, Google Vertex AI). Experience with frameworks like TensorFlow, PyTorch, Hugging Face, and LLMs (e.g., OpenAI, Cohere, Anthropic). Familiarity with data platforms, APIs, and enterprise architectures. Expertise in solution architecture and design documentation, including: High-Level Design (HLD) and Low-Level Design (LLD) Capable of conducting proof-of-concepts (PoCs) and technical demonstrations Skilled in working with OEMs and managing joint solution development Knowledge of and relationship with OEMs Proven ability to deliver business-aligned technology solutions for diverse industry use cases Soft Skills Excellent presentation and communication skills, especially in translating technical content into business outcomes. Strategic thinking, problem-solving ability, and strong business acumen. Collaborative leadership style with stakeholder management and team-building capabilities. People Management Proven team leadership and mentoring experience, especially in pre-sales and solutioning Ability to motivate cross-functional teams and foster a collaborative work environment Skilled in performance management, goal setting, and team development Capable of building scalable solutioning teams and driving accountability KPIs / Success Metrics: Presales win ratio and contribution to revenue growth Deal conversion rate from solution qualification Time-to-proposal and solution turnaround time Client satisfaction scores from presales engagements Team competency growth and retention Show more Show less
Job Overview: We are seeking a highly motivated and experienced Sales Manager – Public Sector BFSI or Private Sector BFSI to drive business development and relationship management in public sector banks and financial institutions. The ideal candidate will have direct experience working with or within institutions such as SBI, IDBI, Central Bank of India, Bank of India, Bank of Baroda , or similar public BFSI organizations Or HDFC Bank, ICICI Bank, Axis Bank, and Kotak Mahindra Bank. Key Responsibilities: Drive business growth by identifying and developing new opportunities within public sector banks and insurance companies. Build strong working relationships with senior stakeholders (CXO/CIO/GM/DGM level) in public BFSI entities. Own the complete sales cycle – from prospecting to closure, ensuring timely onboarding and account growth. Understand client needs and position relevant product/solutions (e.g., core banking, digital banking, lending platforms, data analytics, etc.). Work closely with internal pre-sales, product, and delivery teams to align offerings with client requirements. Ensure high standards of account servicing and post-sales engagement to support cross-sell and upsell opportunities. Prepare proposals, RFP responses, and commercial negotiations in compliance with government/public sector procurement processes. Preferred Background: Professionals with prior work experience in PSU banks, IT/Fintech sales to BFSI, or in public. Familiarity with digital transformation initiatives in the public BFSI sector. Experience in enterprise SaaS, IT solutions, or BFSI technology platforms is a plus.
The Head of Presales AI Solutions leads the technical sales strategy and solutioning efforts for AI-driven offerings across industry verticals. You will be responsible for leading a team of solution architects and presales engineers to articulate the value of AI/ML technologies to clients, develop winning proposals, and support the sales lifecycle from qualification to closure. You will define and drive the presales strategy for AI/ML solutions across geographies and verticals. Building and leading a high-performing presales team comprising AI solution architects, data scientists, and technical consultants will be crucial. Collaboration with product, engineering, and marketing teams to align go-to-market strategies with customer needs is also a key responsibility. Engaging with C-level executives and business stakeholders to understand business challenges and translate them into AI-driven opportunities will be part of your client engagement activities. You will conduct discovery sessions, workshops, and technical deep-dives to shape client requirements effectively. Your role will involve overseeing the design and development of AI/ML solution architectures, prototypes, and demos tailored to client needs. Managing RFP/RFI responses, technical proposals, and solution presentations will also be essential. Ensuring alignment of proposed solutions with client goals, budget, and timelines is a critical aspect of your responsibilities. You will train and support sales teams with product/solution knowledge, value propositions, and competitive positioning to enable them effectively. Driving technical win strategies and collaborating on deal closure activities are key components of sales enablement that you will lead. Business development activities will also be a part of your responsibilities. Staying abreast of the latest AI/ML technologies, frameworks, and competitive landscape is essential. Collaboration with innovation and delivery teams to package repeatable AI offerings and accelerators will also be part of your role. As the Head of Presales AI Solutions, you should possess a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. You must have at least 15 years of experience in presales or solution consulting in IT, with a minimum of 5 years in AI/ML or data science domains. Proven experience in leading large presales or solutions teams in enterprise sales cycles is required. Your technical skills should include a strong understanding of AI/ML concepts, model lifecycle (MLOps), data engineering, and cloud AI services. Experience with frameworks like TensorFlow, PyTorch, Hugging Face, and LLMs is necessary. Familiarity with data platforms, APIs, and enterprise architectures is expected. Expertise in solution architecture and design documentation, including High-Level Design (HLD) and Low-Level Design (LLD) is crucial. Excellent presentation and communication skills, especially in translating technical content into business outcomes, are essential soft skills. You should have strategic thinking, problem-solving ability, and strong business acumen. A collaborative leadership style with stakeholder management and team-building capabilities is vital. Proven team leadership and mentoring experience, especially in pre-sales and solutioning, will be necessary for people management. Ability to motivate cross-functional teams, foster a collaborative work environment, and manage performance, goal setting, and team development are key aspects of this role. Your success will be measured based on various KPIs and success metrics, including presales win ratio and contribution to revenue growth, deal conversion rate from solution qualification, time-to-proposal, and solution turnaround time, client satisfaction scores from presales engagements, and team competency growth and retention.,
You will be joining Inspira Enterprise, a global cybersecurity, data analytics, and AI services provider with a strong presence across various regions including North America, ASEAN, Middle East, India, and Africa. As a Lead Generation Specialist in Cybersecurity, your primary responsibility will be to drive new lead generation activities, effectively communicate with potential clients, enhance sales opportunities, and conduct research to contribute to the overall business growth. To excel in this role, you should possess strong skills in generating new leads, effective communication, and sales strategies. Additionally, having a knack for conducting in-depth research and a background in the cybersecurity or related industry will be advantageous. A Bachelor's degree in Marketing, Business, or a related field is required for this full-time on-site position. Join our dynamic team at Inspira Enterprise and play a vital role in expanding our reach and fostering business development in the realm of cybersecurity.,
Join our dynamic team to drive growth, build global relationships, and make a significant impact. As Manager of Global Alliances & Partnerships, you will lead strategic partnerships, manage revenue targets, and foster collaborations across geographies. Your responsibilities will include onboarding new partners, driving key partnerships globally to achieve revenue goals, building relationships across different regions, negotiating attractive partnership deals in line with business objectives, tracking Rebate programs, and planning events using OEM MDFs. Additionally, you will maintain and deepen relationships with existing partners, develop joint business plans, and establish metrics to measure ROI from partnerships. To qualify for this role, you should hold an MBA in Sales, Marketing, Business Administration, or a related field, and have 10-15 years of prior experience in a similar role with a successful track record in building strategic partnerships. Experience with OEMs in Cybersecurity, AI, and Analytics is preferred. You should also possess proven expertise in managing strategic alliances on a global scale, establishing high-impact partnerships across multiple regions, strong negotiation and interpersonal skills, and a goal-oriented, problem-solving mindset. Being flexible to cater to different time zones is essential. This role is based in Mumbai. Interested candidates meeting the qualifications and located in Mumbai are encouraged to apply.,