analyst - privacy & data protection Jobs in Bangalore

analyst - privacy & data protection

associate, ml data operations, go-ai operations Jobs in Bangalore

associate, ml data operations, go-ai operations

data analyst

data scientist-advanced analytics Jobs in Bangalore

data scientist-advanced analytics

director of enterprise data analytics - india Jobs in Bangalore

director of enterprise data analytics - india

director of enterprise data analytics india

JumpCloud

<div>
 
 
 All roles at JumpCloud are Remote unless otherwise specified in the Job Description.
 
 
 
 
 
 About JumpCloud
 
 
 JumpCloud&reg; delivers a unified open directory platform that makes it easy to securely manage identities, devices, and access across your organization. With JumpCloud, IT teams and MSPs enable users to work securely from anywhere and manage their Windows, Apple, Linux, and Android devices from a single platform. JumpCloud is IT Simplified.
 
 
 
 
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 Our Enterprise Data Analytics function is the strategic engine that fuels data-driven decision-making across the entire organization. We move beyond simply making data visible to defining what data matters and how it is used to achieve critical business outcomes, strategic alignment, and operational excellence globally. The Director will lead the global strategy for analytics, ensuring data insights drive impactful results for all business units, particularly within the fast-paced SaaS and Cybersecurity landscape.
 
 
 
 
 
 
 
 Reporting to the Chief Business Officer, this role will leverage their significant experience in business operations, software engineering, vendor management and integration and exceptional team building to generate an execution machine.&nbsp; This role requires an in-depth knowledge of business operations and processes along with SaaS product development and integration needs in order to create a technology strategy that underpins JumpCloud&rsquo;s data products, PLG, SLP and Partner sales motions, customer lifecycle and G&amp;A motions.&nbsp;
 
 
 
 
 
 
 
 
 
 
 What You'll Be Doing:
 
 <ul>
 <li>
 Define and Champion the Global Data Strategy: Own, develop, and execute the 3-5 year roadmap for Enterprise Data Analytics, ensuring alignment with the overall company and product strategy.
 </li>
 <li>
 This includes identifying key opportunities for leveraging data to drive revenue, efficiency, and customer experience
 </li>
 <li>
 Executive Stakeholder Management &amp; Influence: Act as the primary strategic partner to C-level executives (CFO, COO, CTO, CMO) and senior leadership across Engineering and GTM.&nbsp;
 </li>
 <li>
 Proactively present complex data narratives and actionable insights that drive significant organizational investment and policy change
 </li>
 <li>
 Lead and Scale the Analytics Function: Provide inspirational leadership and mentorship to the Manager-level reports and the broader team. Be accountable for the organizational structure, talent development, succession planning, and performance management of the entire data analytics domain
 </li>
 <li>
 Drive Data Governance and Quality: Establish and enforce global data governance policies, quality standards, and compliance frameworks relevant to a SaaS organization (e.g., security, privacy, international standards). Be the ultimate owner of data integrity and reliability across the enterprise
 </li>
 <li>
 Operational and Financial Oversight: Own and manage the departmental budget, technology stack investments (e.g., tools, platforms, data infrastructure), and vendor relationships. Ensure maximum ROI on all data-related initiatives
 </li>
 <li>
 Accelerate Organizational Efficiency: Systematically identify, prioritize, and eliminate enterprise-level data silos and highly inefficient systems/processes across departments (Sales, Marketing, Product, Finance, etc.), using data insight to compel necessary transformation
 </li>
 <li>
 Cultivate a Data-Driven Culture: Champion the adoption of analytics best practices and data literacy across all functions. Shift the organization's mindset from reporting what happened to predicting what will happen and prescribing action
 
 </li>
 </ul>
 
 
 
 
 We're Looking for (Leadership &amp; Influence Competencies):
 
 <ul>
 <li>
 Strategic Visionary and Transformation Agent: A proven leader who can look beyond the immediate data request to define the foundational capabilities needed for future success. Must demonstrate the ability to drive large-scale, enterprise-wide change initiatives through data
 </li>
 <li>
 Master of Cross-Organizational Influence: Exceptional ability to build and maintain strong, transparent relationships with senior leaders, using data and influence to drive outcomes in highly matrixed environments, especially across international geographies (EMEA/APAC)
 </li>
 <li>
 High Accountability and Ownership: Holds ultimate accountability for the success and failure of the Enterprise Data Analytics function. Exemplifies ownership, transparency, and a high bar for team performance and ethical data usage
 </li>
 <li>
 Servant Leadership Philosophy: Dedicated to the success and career growth of direct and extended team members while balancing strategic objectives. Values humility and shared success while demonstrating decisiveness when accountability is required
 
 </li>
 </ul>
 
 
 
 
 Required Qualifications:
 
 <ul>
 <li>
 Extensive Domain Expertise: Deep, comprehensive knowledge of enterprise data analytics, Visualization ,&nbsp; data warehousing, BI strategy, and predictive modeling within a high-growth SaaS or technology environment
 </li>
 <li>
 Leadership Experience: Proven experience leading a functional domain or department, including managing Managers and being fully accountable for resource allocation, strategy, and personnel decisions
 </li>
 <li>
 Strategic Financial Impact: Demonstrated experience in departmental budgeting, leading significant strategic planning efforts, and driving procedural/technological change that has measurable financial and operational impact
 </li>
 <li>
 Education and Experience: Typically requires a Bachelor's or Master's degree in a relevant field (e.g., Computer Science, Data Science, Business Analytics) and at least 10+ years of progressive experience, with a minimum of 3-5 years in a senior leadership or Director-level capacity
 
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 
 Where you&rsquo;ll be working/Location:
 
 
 JumpCloud is committed to being Remote First, meaning that you are able to work remotely within the country noted in the Job Description.
 
 
 
 
 
 
 
 You must be located in and authorized to work in the country noted in the job description to be considered for this role.&nbsp;
 
 
 
 
 
 Please note: There is an expectation that our engineers participate in on-call shifts. You will be expected commit to being ready and able to respond during your assigned shift, so that alerts don't go unaddressed.
 
 
 
 
 
 
 
 Language:
 
 
 JumpCloud has teams in 15+ countries around the world and conducts our internal business in English. The interview and any additional screening process will take place primarily in English. To be considered for a role at JumpCloud, you will be required to speak and write in English fluently.&nbsp; Any additional language requirements will be included in the details of the job description.
 
 
 
 
 
 
 
 Why JumpCloud?
 
 &nbsp;
 
 
 
 If you thrive working in a fast, SaaS-based environment and you are passionate about solving challenging technical problems, we look forward to hearing from you! JumpCloud is an incredible place to share and grow your expertise! You&rsquo;ll work with amazing talent across each department who are passionate about our mission. We&rsquo;re out of the box thinkers, so your unique ideas and approaches for conceiving a product and/or feature will be welcome. You&rsquo;ll have a voice in the organization as you work with a seasoned executive team, a supportive board and in a proven market that our customers are excited about.&nbsp;&nbsp;
 
 
 
 
 &nbsp;
 
 
 
 
 One of JumpCloud's three core values is to &ldquo;Build Connections.&rdquo; To us that means creating " human connection with each other regardless of our backgrounds, orientations, geographies, religions, languages, gender, race, etc. We care deeply about the people that we work with and want to see everyone succeed." - Rajat Bhargava, CEO
 
 
 
 
 &nbsp;
 
 
 
 
 Please submit your r&eacute;sum&eacute; and brief explanation about yourself and why you would be a good fit for JumpCloud.&nbsp; Please note JumpCloud is not accepting third party resumes at this time.&nbsp; &nbsp;
 
 
 
 
 &nbsp;
 
 
 
 
 JumpCloud is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
 
 
 
 
 
 
 
 
 Scam Notice:
 
 
 
 
 
 Please be aware that there are individuals and organizations that may attempt to scam job seekers by offering fraudulent employment opportunities in the name of JumpCloud. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers. Please note that JumpCloud will never ask for any personal account information, such as credit card details or bank account numbers, during the recruitment process. Additionally, JumpCloud will never send you a check for any equipment prior to employment.
 
 
 
 
 
 
 
 All communication related to interviews and offers from our recruiters and hiring managers will come from official company email addresses (@jumpcloud.com) and will never ask for any payment, fee to be paid or purchases to be made by the job seeker. If you are contacted by anyone claiming to represent JumpCloud and you are unsure of their authenticity, please do not provide any personal/financial information and contact us immediately at recruiting@jumpcloud.com with the subject line "Scam Notice"&nbsp;
 
 
 
 
 &nbsp;
 
 
 
 
 #BI-Remote
 
 
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
</div>

Director of Enterprise Data Analytics - India

NTT DATA North America

<div>
 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
 
 
 We are currently seeking a Data Analyst to join our team in Bangalore, Karn&amacr;taka (IN-KA), India (IN).
 
 
 Experience: 3 to 6 Years
 
 
 Keywords: Statistical analysis, Data Visualization, Dashboards, Data pipelines, Data Gathering, Root Cause Analysis
 
 
 Description: A data analyst who can fetch required data from field vehicle data tables and analyze as per the use cases by using various data visualization techniques. Build tools.
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Analysis of field car data
 </li>
 <li>
 Usage of different data pipelines and get required data
 </li>
 <li>
 Collaboration with data pipeline owners and data engineers
 </li>
 <li>
 Data cleaning and plausibility checks
 </li>
 <li>
 Creating gold and silver layers of data for analytics
 </li>
 <li>
 Statistical analysis as per the requirement
 </li>
 <li>
 Build and maintain dashboards
 </li>
 <li>
 Building suitable tools for scaling data analytics methods
 </li>
 <li>
 Collaborating with Global stakeholders and Product owners
 
 
 </li>
 </ul>
 Skills/Qualifications/Experience:
 
 
 <ul>
 <li>
 Bachler&rsquo;s or Master&rsquo;s degree in any STEM disciplines
 </li>
 <li>
 Microsoft Azure
 </li>
 <li>
 Databricks
 </li>
 <li>
 Python
 </li>
 <li>
 SQL
 </li>
 <li>
 Optional skills (good to have) &ndash; Power BI, Automotive Powertrain domain knowledge
 </li>
 <li>
 Soft Skills: Excellent written and verbal communication skills, Flexible, Self-driven, Team Player
 
 
 </li>
 </ul>
 
 About NTT DATA
 
 
 
 NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world&rsquo;s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&amp;D.
</div>

Data Analyst

Acko

<div>
 
 
 We are seeking a talented MIS Analyst (Sr. Associate) with a strong background in data analytics to join our team. The ideal candidate will ensure our data reporting accuracy, timeliness, and effectiveness. In this role, you will regularly coordinate with finance, product, business, and other key stakeholders to monitor key performance indicators (KPIs) and ensure that targets are met. You will manage ad-hoc requests from various departments, discuss daily, weekly, and monthly performance with stakeholders, and efficiently handle outage scenarios.
 
 
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Coordinate with finance, product, business, and and other stakeholders regularly.
 </li>
 <li>
 Monitor and analyze KPIs to ensure they meet targets and identify areas for improvement.
 </li>
 <li>
 Manage ad-hoc data and reporting requests from Finance and other functions.
 </li>
 <li>
 Responsible for daily/weekly/monthly reports.
 </li>
 <li>
 Effectively manage outage scenarios and ensure continuity in reporting processes.
 </li>
 <li>
 Maintain data integrity and take ownership of the MIS delivery process.
 </li>
 <li>
 Ensure accurate and timely reporting across all business functions.
 </li>
 <li>
 Design, develop, and maintain automated standard reports.
 </li>
 <li>
 Collaborate with IT teams to enhance data governance, ensuring data security and privacy.
 </li>
 <li>
 Document and maintain data processes, ensuring proper documentation of reporting procedures.
 </li>
 <li>
 Stay updated on industry trends in data analytics and MIS, recommending best practices.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Any Degree with 1-4 years of relevant experience in data analytics or MIS.
 </li>
 <li>
 Proficiency in SQL and strong MS Excel skills.
 </li>
 <li>
 Familiarity with BI tools such as Tableau.
 </li>
 <li>
 Self-motivated, with a strong sense of personal accountability.
 </li>
 <li>
 Ability to work independently and as part of a team in a fast-paced environment.
 </li>
 <li>
 Strong communication skills to effectively interact with stakeholders at all levels.
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 A dynamic team of colleagues who are passionate about innovating and disrupting the insurance industry in India.
 </li>
 <li>
 Opportunity to be part of an early stage high potential start up
 </li>
 <li>
 Independence and ownership in both design and execution where conceptualisation to execution cycle is in weeks and not in months
 </li>
 <li>
 Platform to work with senior stakeholders to drive multiple strategic initiatives
 </li>
 </ul>
</div>

Associate/Sr. Associate - MIS

<div>
 
 Introduction
 
 
 
 A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You&rsquo;ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you&rsquo;ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You&rsquo;ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
 
 
 
 Your Role And Responsibilities
 
 
 
 <ul>
 <li>
 Work with broader team to build, analyze and improve the AI solutions.
 </li>
 <li>
 You will also work with our software developers in consuming different enterprise applications.
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 Master's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Resource should have 5-7 years of experience. Sound knowledge of Python and should know how to use the ML related services.
 </li>
 <li>
 Proficient in Python with focus on Data Analytics Packages. Strategy Analyse large, complex data sets and provide actionable insights to inform business decisions. Strategy
 </li>
 <li>
 Design and implementing data models that help in identifying patterns and trends. Collaboration Work with data engineers to optimize and maintain data pipelines.
 </li>
 <li>
 Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making. Identify and recommend process improvements to enhance the efficiency of the data platform. Develop and maintain data models, algorithms, and statistical models.
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Experience with conversation analytics. Experience with cloud technologies
 </li>
 <li>
 Experience with data exploration tools such as Tableu
 </li>
 </ul>
</div>

Data Scientist-Artificial Intelligence

<div>
 
 Introduction
 
 
 
 IBM Infrastructure division builds Servers, Storage, Systems and Cloud Software which are the building blocks for next-generation IT infrastructure of enterprise customers and data centers. IBM Servers provide best-in-class reliability, scalability, performance, and end-to-end security to handle mission-critical workloads and provide seamless extension to hybrid multicloud environments.
 
 
 India Systems Development Lab (ISDL) is part of word-wide IBM Infrastructure division. Established in 1996, the ISDL Lab is headquartered in Bengaluru, with presence in Pune and Hyderabad as well. ISDL teams work across the IBM Systems stack including Processor development (Power and IBM Z), ASCIs, Firmware, Operating Systems, Systems Software, Storage Software, Cloud Software, Performance &amp; Security Engineering, System Test etc. The lab also focuses on innovations, thanks to the creative energies of the teams. The lab has contributed over 400+ patents in cutting edge technologies and inventions so far. ISDL teams also ushered in new development models such as Agile, Design Thinking and DevOps.
 
 
 
 
 Your Role And Responsibilities
 
 
 
 
 As a Software Engineer at IBM India Systems Development Lab (IBM ISDL), you will get an opportunity to work on all the phases of product development (Design/Development, Test and Support) across core Systems technologies including Operating Systems, Firmware, Systems Software, Storage Software &amp; Cloud Software.
 
 
 
 As a Software Developer At ISDL:
 
 
 
 <ul>
 <li>
 You will be focused on development of IBM Systems products interfacing with development &amp; product management teams and end users, cutting across geos.
 </li>
 <li>
 You would analyze product requirements, determine the best course of design, implement/code the solution and test across the entire product development life cycle. One could also work on Validation and Support of IBM Systems products.
 </li>
 <li>
 You get to work with a vibrant, culture driven and technically accomplished teams working to create world-class products and deployment environments, delivering an industry leading user experience for our customers.
 </li>
 <li>
 You will be valued for your contributions in a growing organization with broader opportunities.
 
 
 </li>
 </ul>
 At ISDL, work is more than a job - it's a calling: To build. To design. To code. To invent. To collaborate. To think along with clients. To make new products/markets. Not just to do something better, but to attempt things you've never thought was possible. Are you ready to lead in this new era of technology and solve some of the most challenging problems in Systems Software technologies? If so, let&rsquo;s talk.
 
 
 
 
 Required Technical And Professional Expertise
 
 
 
 
 Systems and Cloud Software Engineer:
 
 
 As a Software Engineer with IBM Systems and Cloud Software teams, you will get the opportunity to get involved in all the phases of software development and work with technically accomplished teams. The responsibilities comprise of design new enhancements, coding (including test automation), problem determination and bug fixing, performance analysis, and solving client problems. You could also work on IBM Compute and Storage Systems including Virtualisation, I/O and Reliability Availability &amp; Serviceability thereby, enabling the creation of a seamless software user experience across the stack delivering to IBM&rsquo;s Hybrid Cloud and AI clients. As an engineer you will be responsible for enhancing and maintaining the key components of the Software stack, Platform enablement and an opportunity to work on closed and Open source development communities.
 
 
 
 Required Technical Expertise:
 
 
 
 <ul>
 <li>
 Knowledge of Operating Systems, OpenStack, Kubernetes, Container technologies, Cloud concepts, Security, Virtualization Management, REST API, DevOps (Continuous Integration) and Microservice Architecture.
 </li>
 <li>
 Strong programming skills in C, C++, Go Lang, Python, Ansible, Shell Scripting.
 </li>
 <li>
 Comfortable in working with Github and leveraging Open source tools.
 
 
 </li>
 </ul>
 
 AI Software Engineer:
 
 
 
 As a Software Engineer with IBM AI on Z Solutions teams, you will get the opportunity to get involved in delivering best-in class Enterprise AI Solutions on IBM Z and support IBM Customers while adopting AI technologies / Solutions into their businesses by building ethical, secure, trustworthy and sustainable AI solutions on IBM Z.
 
 
 You will be part of end to end solutions working along with technically accomplished teams. You will be working as a Full stack developer starting from understanding client challenges to providing solutions using AI.
 
 
 
 Required Technical Expertise:
 
 
 
 <ul>
 <li>
 Knowledge of AI/ML/DL, Jupyter Notebooks, Linux Systems, Kubernetes, Container technologies, REST API, UI skills,
 </li>
 <li>
 Strong programming skills like &ndash; C, C++, R, Python, Go Lang and well versed with Linux platform.
 </li>
 <li>
 Strong understanding of Data Science, modern tools and techniques to derive meaningful insights
 </li>
 <li>
 Understanding of Machine learning (ML) frameworks like scikit- learn, XGBoost etc.
 </li>
 <li>
 Understanding of Deep Learning (DL) Frameworks like Tensorflow, PyTorch
 </li>
 <li>
 Understanding of Deep Learning Compilers (DLC)
 </li>
 <li>
 Natural Language Processing (NLP) skills
 </li>
 <li>
 Understanding of different CPU architectures (little endian, big endian).
 </li>
 <li>
 Familiar with open source databases PostGreSQL, MongoDB, CouchDB, CockroachDB, Redis, data sources, connectors, data preparations, data flows, Integrate, cleanse and shape data.
 
 
 </li>
 </ul>
 
 
 Preferred Technical And Professional Experience
 
 
 
 
 Preferred Technical Expertise:
 
 
 <ul>
 <li>
 Practical working experience with Java, Python, GoLang, ReactJS,
 </li>
 <li>
 Knowledge of AI/ML/DL, Jupyter Notebooks, Storage Systems, Kubernetes, Container technologies, REST API, UI skills,
 </li>
 <li>
 Exposure to cloud computing technologies such as Red Hat OpenShift, Microservices Architecture, Kubernetes/Docker Deployment.
 </li>
 <li>
 Basic understanding of storage technologies: SAN, NAS, DAS
 </li>
 <li>
 Familiarity with RAID levels and disk configurations
 </li>
 <li>
 Knowledge of file systems (e.g., NTFS, ext4, ZFS)
 </li>
 <li>
 Experience with operating systems: Windows Server, Linux/Unix
 </li>
 <li>
 Basic networking concepts: TCP/IP, DNS, DHCP
 </li>
 <li>
 Scripting skills: Bash, PowerShell, or Python (for automation)
 </li>
 <li>
 Understanding of backup and recovery tools (e.g., Veeam, Commvault)
 </li>
 <li>
 Exposure to cloud storage: AWS S3, Azure Blob, or Google Cloud Storage
 </li>
 </ul>
</div>

Software Engineer

Myntra

<div>
 
 Deputy Director, Learning and Development, is a key role responsible for supporting the strategic direction and execution of the organization's learning and development initiatives, with a significant focus on the development of our technology talent which includes - Engineering / UX / Product/ Data science and other sub teams . This individual will be expected to lead 2-3 BU's along with Tech teams and should be agile to support organizations with changing requirements. This role will diagnose functional skill gaps, design strategic learning roadmaps, and partner with L&amp;D and technology leaders to ensure our technical talent has the capabilities needed to drive innovation, scalability, and performance in a rapidly evolving digital landscape.
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 
 Strategic Support :
 
 Assist in developing and implementing the overall learning and development strategy, with a strong emphasis on initiatives that support the growth and upskilling of Myntra Talent
 </li>
 <li>
 
 Business Acumen:
 
 Act as the primary strategic learning consultant to leaders to understand their long-term roadmaps, business priorities (e.g., platform stability, speed, new feature launches, cost optimization), and associated technical and leadership capability needs. Conduct in-depth skills gap analyses to inform the design of targeted learning solutions.
 </li>
 <li>
 
 Skills Gap Analysis:
 
 Proactively identify and diagnose critical skills gaps (e.g., in Cloud Computing, AI/ML, DevOps, Cybersecurity, E-commerce Platforms) across the tech organization using data from performance reviews, tech audits, and business metrics.
 </li>
 <li>
 
 Technical Roadmap Development :
 
 Develop and maintain structured learning pathways and curricula for key technical roles (e.g., Software Engineers, Data Scientists, Product Managers, SREs) from onboarding to advanced mastery.. Utilize a variety of learning methodologies tailored for technical audiences, including hands-on labs, simulations, coding challenges, and collaborative learning platforms.
 </li>
 <li>
 
 Culture of Continuous Learning:
 
 Drive usage and adoption of learning experience platform for all BU's , Work with tech managers to embed a culture of continuous learning, coaching, and knowledge sharing within their teams.
 </li>
 <li>
 
 Learning Technology &amp; Innovation:
 
 Stay abreast of the latest trends and technologies in technical learning and development. Evaluate and recommend innovative learning modalities
 </li>
 <li>
 
 Metrics &amp; ROI:
 
 Establish and track key metrics (KPIs) to measure the effectiveness and business impact of all learning programs, such as:
 </li>
 <li>
 Time-to-competency for new hires.
 </li>
 <li>
 Certification attainment rates.
 </li>
 <li>
 Application of new skills on the job (e.g., project quality, speed, or stability improvements).
 </li>
 <li>
 Learning cost per employee and overall training ROI.
 </li>
 <li>
 
 Reporting:
 
 Create and present regular reports and dashboards to senior technology and HR leadership, providing data-driven recommendations for program iteration and investment adjustments
 </li>
 <li>
 
 Technical Stakeholder Management:
 
 Build and maintain strong relationships with key technical stakeholders, including VPs of Engineering, Engineering Sr.Directors/ Directors , Tech Leads, and individual contributors, to ensure alignment and buy-in for technical learning initiatives. Act as a trusted advisor on technical learning strategies.
 </li>
 <li>
 
 Content Curation:
 
 Curate a best-in-class mix of learning solutions, including custom-developed internal courses, external vendor training, certifications (e.g., AWS, Azure, Google Cloud), internal knowledge sharing (e.g., "Tech Talks," hackathons), and on-the-job experiences. Should be able to create and facilitate behavioural trainings as well
 </li>
 </ul>
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Engineering, Human Resources, Education, Organizational Development, or a related field. A Master's degree is preferred.
 </li>
 <li>
 15 +years of progressive experience in Learning and Development, with significant and demonstrable experience working as a
 
 Tech Learning Partner
 
 or in a role heavily focused on developing technical talent within a technology-driven organization.
 </li>
 <li>
 Strong understanding of adult learning principles and instructional design methodologies, with the ability to apply them effectively to technical content
 </li>
 <li>
 Excellent project management, organizational, and time management skills, with the ability to manage complex learning initiatives.
 </li>
 <li>
 Exceptional communication, presentation, and interpersonal skills, with the ability to communicate effectively with both technical and non-technical audiences.
 </li>
 <li>
 Proficient in using data and analytics (e.g., Excel, reporting tools) to measure program effectiveness and drive decisions.
 </li>
 <li>
 Strong analytical and problem-solving skills with the ability to interpret data related to technical skill development and training effectiveness.
 </li>
 <li>
 Ability to build strong relationships and influence stakeholders at all levels of the organization.
 </li>
 <li>
 Experience working in a fast-paced and dynamic technology environment.
 </li>
 <li>
 Experience in managing and deploying LMS / LXP
 </li>
 </ul>
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Professional certifications in learning and development
 </li>
 <li>
 Experience with specific technical learning platforms or methodologies relevant to our technology stack.
 </li>
 <li>
 Experience working in an agile development environment and understanding its implications for learning and development.
 </li>
 <li>
 Familiarity with developer tools and workflows.
 </li>
 </ul>
 
 
</div>

Manager – Financial Planning & Analysis (FP&A)

Explore 64+ Director of enterprise data analytics india in Bangalore this January. Find roles across top companies and apply now to boost your career.