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<div style=""><u>Responsibilities:</u></div><div style="">· Oversee multiple learning programs by leveraging various digital platforms.</div><div style="">· Implement and promote initiatives to accommodate diverse learning styles and schedules, enabling learners to engage at their own pace without compromising on client commitments.</div><div style="">· Actively collaborate with business leaders to understand the contextual needs, ensuring learning solutions are aligned with the strategic objectives of the organization.</div><div style="">· Curate and develop content that encourages self-discovery and curiosity-driven learning, fostering a deeper understanding of subject matter and enabling problem-solving skills that align with the organizational culture.</div><div style="">· Create and manage knowledge assets such as case studies, reading materials, and interactive assignments, ensuring they are designed to be scalable, modular, and reusable.</div><div style="">· Lead and facilitate peer learning initiatives by leveraging internal expertise, nurturing a community approach to learning that is grounded in the organization’s mentorship culture.</div><div style="">· Identify and manage partnerships that can supplement internal learning efforts, ensuring external collaborators align with the company’s ethos and provide value where internal expertise may fall short.</div><div style="">· Implement learning interventions that emphasize strengths-based development, helping learners identify and leverage their strengths for overall growth and project readiness.</div><div style="">· Work closely with stakeholders to ensure that learning solutions contribute to business impact and readiness for future projects, using data to track effectiveness and continuously improve learning outcomes.</div><div style="">· Design learning programs that are forward-thinking and scalable, ensuring they can adapt to the dynamic business environment.</div><div style="">· Consider long-term trends and future needs in the learning design process, optimizing the return on investment of learning resources.</div><div style=""><br></div><div style=""><u>Skills &amp; Qualifications:</u></div><div style="">· Experience Range: 7 to 10 years</div><div style="">· Education: Engineering or MBA (preferably in HR or Marketing)</div><div style="">· Experience in L&amp;D preferred but not mandatory if the candidate has a strong passion for Learning &amp; Development and Knowledge Management.</div><div style="">· Proficient with digital learning platforms, demonstrating an understanding of how to leverage technology for effective learning.</div><div style="">· Knowledge of Instructional Design is advantageous, but not mandatory.</div><div style="">· Ability to thrive in a fast-paced, dynamic environment, with a strong focus on solutioning, content curation, and learner engagement.</div><div style="">· Strong collaboration skills, with an ability to engage and manage stakeholders effectively.</div><div style="">· A mindset geared towards continuous learning, curiosity, and applying positive psychology principles in learner development.</div>

TA India - Chennai - CLO

People Development Specialist

<div style=""><b style="font-weight: 700">Job Title: Architect - Data Modeling</b></div><div style="">Location: Bengaluru, Chennai, Hyderabad.</div><div style=""><b style="font-weight: 700">Who we are</b></div><div style="">Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full stack AI and analytics services &amp; solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.</div><div style="">Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.</div><div style="">We are a Great Place to Work-Certified™ (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Curious about the role? What your typical day would look like?</b></div><div style="">As an Architect, you will work to solve some of the most complex and captivating data management problems that would enable them as a data-driven organization; Seamlessly switch between roles of an Individual Contributor, team member, and Data Modeling Architect as demanded by each project to define, design, and deliver actionable insights.</div><div style="">On a typical day, you might</div><div style="">· Engage the clients &amp; understand the business requirements to translate those into data models.</div><div style="">· Analyze customer problems, propose solutions from a data structural perspective, and estimate and deliver proposed solutions.</div><div style="">· Create and maintain a Logical Data Model (LDM) and Physical Data Model (PDM) by applying best practices to provide business insights.</div><div style="">· Use the Data Modelling tool to create appropriate data models</div><div style="">· Create and maintain the Source to Target Data Mapping document that includes documentation of all entities, attributes, data relationships, primary and foreign key structures, allowed values, codes, business rules, glossary terms, etc.</div><div style="">· Gather and publish Data Dictionaries.</div><div style="">· Ideate, design, and guide the teams in building automations and accelerators</div><div style="">· Involve in maintaining data models as well as capturing data models from existing databases and recording descriptive information.</div><div style="">· Contribute to building data warehouse &amp; data marts (on Cloud) while performing data profiling and quality analysis.</div><div style="">· Use version control to maintain versions of data models.</div><div style="">· Collaborate with Data Engineers to design and develop data extraction and integration code modules.</div><div style="">· Partner with the data engineers &amp; testing practitioners to strategize ingestion logic, consumption patterns &amp; testing.</div><div style="">· Ideate to design &amp; develop the next-gen data platform by collaborating with cross-functional stakeholders.</div><div style="">· Work with the client to define, establish and implement the right modelling approach as per the requirement</div><div style="">· Help define the standards and best practices</div><div style="">· Involve in monitoring the project progress to keep the leadership teams informed on the milestones, impediments, etc.</div><div style="">· Coach team members, and review code artifacts.</div><div style="">· Contribute to proposals and RFPs</div>

Architect-Data Modelling 

<div style=""><b style="font-weight: 700">Job Title: Senior Data Engineer-Data Modeling</b></div><div style="">Location: Bengaluru, Chennai, Hyderabad.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Who we are</b></div><div style="">Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full stack AI and analytics services &amp; solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.</div><div style="">Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.</div><div style="">We are a Great Place to Work-Certified™ (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Curious about the role? What your typical day would look like?</b></div><div style="">As a Senior Data Engineer, you will work to solve some of the organizational data management problems that would enable them as a data-driven organization; Seamlessly switch between roles of an Individual Contributor, team member &nbsp;and Data Modeling lead as demanded by each project to define, design, and deliver actionable insights.</div><div style="">On a typical day, you might</div><div style="">· Engage the clients &amp; understand the business requirements to translate those into data models.</div><div style="">· Create and maintain a Logical Data Model (LDM) and Physical Data Model (PDM) by applying best practices to provide business insights.</div><div style="">· Contribute to Data Modeling accelerators</div><div style="">· Create and maintain the Source to Target Data Mapping document that includes documentation of all entities, attributes, data relationships, primary and foreign key structures, allowed values, codes, business rules, glossary terms, etc.</div><div style="">· Gather and publish Data Dictionaries.</div><div style="">· Involve in maintaining data models as well as capturing data models from existing databases and recording descriptive information.</div><div style="">· Use the Data Modelling tool to create appropriate data models.</div><div style="">· Contribute to building data warehouse &amp; data marts (on Cloud) while performing data profiling and quality analysis.</div><div style="">· Use version control to maintain versions of data models.</div><div style="">· Collaborate with Data Engineers to design and develop data extraction and integration code modules.</div><div style="">· Partner with the data engineers to strategize ingestion logic and consumption patterns.</div><div style=""><br></div><div style=""><br></div>