Rohini IT Consulting LLP

What You'll Do

•      Define project scope and schedule while focusing on regular and timely delivery of value; organize and lead project status and working meetings; prepare and distribute progress reports; manage risks and issues; correct deviations from plans; and perform delivery planning for assigned projects

•      Manage customer expectations for project deliverables, stakeholder communications, and implementing an effective system of project governance

•      Contribute to team development while holding teams accountable for their commitments, removing roadblocks to their work; leveraging organizational resources to improve capacity for project work; and mentoring and developing team members

•      Promote empowerment of the team, ensure that each team member is fully engaged in the project and making a meaningful contribution, and encourage a sustainable pace with high levels of quality for the team

•      Manage 2-3 teams with multiple projects facing tight deadlines and dependencies.

•      Champion ongoing process improvement initiatives to implement best practices for Agile Project Management

•      Prepare and publish a status report in intervals throughout the lifecycle of a project

•      Develop expertise on Life Science industry requirements and trends to ensure teams meet all required process requirements

•      Break down any barriers, resolve conflicts, and enable high velocity teams

•      Work with all stakeholders (Engineering Pre-Validation, Product Management, Services & Support) for smooth execution of projects 

•      Maintain JIRA projects 

•      Work with Technical Leads for sprint and release planning 

Requirements & Skills

•       Bachelor’s Degree or Equivalent experience 

•       Minimum 12+ years of experience working with software development life cycle models, Agile and traditional project management principles and practices and the ability to blend them together in the right proportions to fit a project and business environment

•       Minimum 5+ years of experience implementing software or web development projects using Agile methodologies including managing large, complex projects in a high-tech development environment with multi-function teams

•       Sufficient level of technical background to be able to accurately and objectively evaluate complex project risks and issues

•       Prior work experience in an early-stage company is a plus

•       Good understanding of agile principles and scrum methodology

•       Ability to concurrently manage multiple projects with various moving parts

•       Experience architecting enterprise-class business intelligence solutions in a commercial environment.

•       Strong analytical skills

•       Excellent communication and organizational skills

•       Flexible, resourceful, and creative in approach

•       Life science experience, a plus

User Research & Analysis:

• Conduct in-depth user research to understand user needs, behaviours, and pain points through interviews, surveys, and usability testing.
• Analyse qualitative and quantitative data to inform design decisions and improve user experience.
• Create user personas, journey maps, and scenarios to guide the design process.

Wireframing & Prototyping:

• Develop low and high-fidelity wireframes, mockups, and interactive prototypes using tools like Figma, Sketch, or Adobe XD.
• Collaborate with cross-functional teams, including product managers, UI designers, and developers, to translate concepts into functional prototypes.

User Testing & Feedback:

• Plan and conduct usability tests to validate design choices and ensure solutions meet user needs.
• Gather feedback through user testing sessions, A/B testing, and iterate designs based on data-driven insights.

Information Architecture & Interaction Design:

• Create intuitive navigation structures and layouts that align with user expectations and business goals.
• Design seamless user flows, ensuring that all interactions are logical and provide a smooth user experience.

Cross-Functional Collaboration:

• Work closely with developers to ensure that user experience goals are realized in the final product.
• Present UX design solutions to stakeholders, gathering feedback and incorporating it into the design process.

Continuous Improvement:

• Stay updated with the latest UX trends, techniques, and tools to enhance design processes.
• Continuously iterate on designs based on user feedback, metrics, and industry best practices.

Qualifications & Experience:

• Bachelor’s / Master’s degree in UX Design, Human-Computer Interaction, Psychology, or a related field.
• 5+ years of experience in UX design with a strong portfolio that demonstrates a range of user-centered design practices.
• Proficiency in UX design tools such as Figma, Sketch, Adobe XD, or Axure.
• Experience with user research and usability testing tools like UserTesting, Lookback, and Optimal Workshop.
• Familiarity with web analytics tools such as Google Analytics and Hotjar to analyze user behavior.

Skills & Attributes:

• Strong ability to conduct user research and translate insights into actionable design solutions.
• Expertise in wireframing, prototyping, and creating user flows and information architecture.
• Excellent communication skills for presenting designs and collaborating with team members.
• Strong analytical skills to evaluate user behavior and test the effectiveness of design solutions.
• Ability to handle multiple projects and work efficiently in a fast-paced environment.

Job Title

Reporting To

Sr Manager – P2P process Architect

SAP Practice Lead

Department

Job Location

Digital & Technology - SAP

India, Bengaluru

SAP P2P Process Architect will oversee and optimize procure-to-pay (P2P) processes within SAP environment. The ideal candidate will have a deep understanding of SAP modules related to procurement and supply chain, combined with strong project management and leadership abilities

The overall purpose of this role is to:

·      Own the end-to-end SAP P2P processes, ensuring they are efficient, effective, and aligned with business objectives.

·      Oversee the configuration, maintenance, and enhancement of SAP P2P modules, including MM (Materials Management), ARIBA , SRM (Supplier Relationship Management), and AP (Accounts Payable).

·      Lead SAP P2P implementation and enhancement projects, ensuring they are completed on time, within scope, and within budget.

·      Work closely with procurement, finance, and supply chain teams to understand their needs and translate them into SAP solutions.

·      Assess and analyze business requirements in the P2P area, identifying opportunities for process improvements and optimization.

·      Lead the technical design of solutions, ensuring they meet business requirements and integrate seamlessly with existing systems.

·      Identify and implement process improvements and best practices to optimize SAP P2P processes.

·      Ensure SAP P2P processes comply with internal policies and external regulations, including data localization requirements.

·      Provide training and support to end-users, fostering a deep understanding of SAP P2P processes and functionalities.

Job Responsibilities  

Customer:

·      Be proactive in capturing and analyzing business requirements and drive towards optimal design and successful delivery of solutions

·      Provider regular and timely reports on progress of initiatives and key risks and issue.

People:

·      Work collaboratively within a matrix organization, engaging with D&T staff in corporate function leaders.

Operations:

·      Regularly monitor the performance of SAP P2P systems to ensure optimal functionality and minimal downtime.

·      Quickly and effectively resolve any operational issues or system malfunctions related to the SAP P2P processes.

·      Maintain detailed documentation of SAP P2P processes, configurations, and changes to ensure transparency and facilitate knowledge transfer.

·      Oversee user access controls and permissions within the SAP P2P modules to ensure security and compliance.

·      Prepare and support internal and external audits related to SAP P2P processes, ensuring all necessary documentation and processes are in place.

• Develop and track key performance indicators (KPIs) related to the P2P processes to monitor efficiency, accuracy, and compliance.
• Supplier Integration: Facilitate the integration of new suppliers into the SAP P2P system, ensuring smooth onboarding and efficient data exchange.

Financial Result:

·      Provide necessary input for the assessment of and panning of initiatives cost including licenses, vendor time and material and others

·      Advise on optimal use of SAP licenses and regular housekeeping to ensure adequate leverage on investment and prevent cost leakage

Job Requirements (Experience and education)

·      Bachelor’s degree in information technology, Business Administration, or a related field. MBA or relevant master's degree is a plus.

·      Minimum of 18 years of experience in SAP P2P processes, with at least 3 years in a managerial role.

·      Proficient in SAP Ariba, MM, SRM, and AP modules.

·      Strong understanding of procurement, supply chain, and accounts payable processes.

·      Experience with SAP S/4HANA is a must

·      Proven ability to lead and manage cross-functional teams and projects.

·      Strong problem-solving abilities and data-driven decision-making skills.

·      Excellent verbal and written communication skills, with the ability to interact effectively with stakeholders at all levels.

·      Solid project management skills with experience in leading large-scale SAP implementations and upgrades.

·      Proven experience in assessing and analyzing business requirements and translating them into technical solutions.

·      Strong background in technical design and architecture within the SAP environment.

·      SAP certification in relevant modules is a plus.

·      Experience in Logistics is advantageous.

Job Title

Reporting To

Sr Manager – SAP Finance Architect

SAP Practice Lead

Department

Job Location

Digital & Technology - SAP

India, Bengaluru

SAP Finance architect will oversee and optimize Finance, Controlling & Treasury processes within SAP environment. The ideal candidate will have a deep understanding of SAP modules related to Finance, Controlling & Treasury processes, combined with strong project management and leadership abilities

The overall purpose of this role is to:

·      Own the end-to-end SAP Finance processes, ensuring they are efficient, effective, and aligned with business objectives.

·      Oversee the configuration, maintenance, and enhancement of SAP Finance modules, including FI, CO, BPC, Group Reporting, Planning, Budgeting & Forecasting automation through SAC.  

·      Lead SAP Finance implementation and enhancement projects, ensuring they are completed on time, within scope, and within budget.

·      Work closely with procurement, finance, and supply chain teams to understand their needs and translate them into SAP solutions.

·      Assess and analyze business requirements in the Finance area, identifying opportunities for process improvements and optimization.

·      Lead the technical design of solutions, ensuring they meet business requirements and integrate seamlessly with existing systems.

·      Identify and implement process improvements and best practices to optimize SAP Finance processes.

·      Ensure SAP Finance processes comply with internal policies and external regulations, including data localization requirements.

·      Provide training and support to end-users, fostering a deep understanding of SAP Finance processes and functionalities.

Job Responsibilities  

Customer:

·      Be proactive in capturing and analyzing business requirements and drive towards optimal design and successful delivery of solutions

·      Provider regular and timely reports on progress of initiatives and key risks and issue.

People:

·      Work collaboratively within a matrix organization, engaging with D&T staff in corporate function leaders.

Operations:

·      Regularly monitor the performance of SAP Finance systems to ensure optimal functionality and minimal downtime.

·      Quickly and effectively resolve any operational issues or system malfunctions related to the SAP Finance processes.

·      Maintain detailed documentation of SAP Finance processes, configurations, and changes to ensure transparency and facilitate knowledge transfer.

·      Oversee user access controls and permissions within the SAP Finance modules to ensure security and compliance.

·      Prepare and support internal and external audits related to SAP Finance processes, ensuring all necessary documentation and processes are in place.

• Develop and track key performance indicators (KPIs) related to the Finance processes to monitor efficiency, accuracy, and compliance.
• Supplier Integration: Facilitate the integration of new suppliers into the SAP Finance system, ensuring smooth onboarding and efficient data exchange.

Financial Result:

·      Provide necessary input for the assessment of and panning of initiatives cost including licenses, vendor time and material and others

·      Advise on optimal use of SAP licenses and regular housekeeping to ensure adequate leverage on investment and prevent cost leakage

Job Requirements (Experience and education)

·      MBA in Finance or CA

·      Minimum of 20 years of experience in SAP Finance processes, with at least 10 years in a managerial role.

·      Strong understanding of Finance , BPC , Treasury ,  procurement and supply chain processes.

·      Experience with SAP S/4HANA is a must

·      Proven ability to lead and manage cross-functional teams and projects.

·      Strong problem-solving abilities and data-driven decision-making skills.

·      Excellent verbal and written communication skills, with the ability to interact effectively with stakeholders at all levels.

·      Solid project management skills with experience in leading large-scale SAP implementations and upgrades.

·      Proven experience in assessing and analyzing business requirements and translating them into technical solutions.

·      Strong background in technical design and architecture within the SAP environment.

·      SAP certification in relevant modules is a plus.

·      Experience in TAX consulting is plus

Experience:

• Junior Level: 4+ years
• Senior Level: 8+ years

Work Mode:Remote

About the Role:

We are seeking a highly skilled and motivated Data Scientist with deep expertise in Machine Learning (ML), Deep Learning, and Large Language Models (LLMs) to join our forward-thinking AI & Data Science team. This is a unique opportunity to contribute to real-world impact in the healthcare industry, transforming the way patients and providers interact with health data through Generative AI and NLP-driven solutions.

Key Responsibilities:

• LLM Development & Fine-Tuning:
• Fine-tune and customize LLMs (e.g., GPT, LLaMA2, Mistral) for use cases such as text classification, NER, summarization, Q&A, and sentiment analysis.
• Experience with other transformer-based models (e.g., BERT) is a plus.
• Data Engineering & Pipeline Design:
• Collaborate with data engineering teams to build scalable, high-quality data pipelines for training/fine-tuning LLMs on structured and unstructured healthcare datasets.
• Experimentation & Evaluation:
• Design rigorous model evaluation and testing frameworks (e.g., with tools like TruLens) to assess performance and optimize model outcomes.
• Deployment & MLOps Integration:
• Work closely with MLOps teams to ensure seamless integration of models into production environments on cloud platforms (AWS, Azure, GCP).
• Predictive Modeling in Healthcare:
• Apply ML/LLM techniques to build predictive models for use cases in oncology (e.g., survival analysis, risk prediction, RWE generation).
• Cross-functional Collaboration:
• Engage with domain experts, product managers, and clinical teams to translate healthcare challenges into actionable AI solutions.
• Mentorship & Knowledge Sharing:
• Mentor junior team members and contribute to the growth of the team’s technical expertise.

Qualifications:

• Master’s or Doctoral degree in Computer Science, Data Science, Artificial Intelligence, or related field.
• 5+ years of hands-on experience in machine learning and deep learning, with at least 12 months of direct work on LLMs.
• Strong coding skills in Python, with experience in libraries like HuggingFace Transformers, spaCy, NLTK, TensorFlow, or PyTorch.
• Experience with prompt engineering, RAG pipelines, and evaluation techniques in real-world NLP deployments.
• Hands-on experience in deploying models on cloud platforms (AWS, Azure, or GCP).
• Familiarity with the healthcare domain and working on Real World Evidence (RWE) datasets is highly desirable.

Preferred Skills:

• Strong understanding of healthcare data regulations (HIPAA, PHI handling, etc.)
• Prior experience in speech and text-based AI applications
• Excellent communication and stakeholder engagement skills
• A passion for impactful innovation in the healthcare space

Real-World Evidence (RWE) Analyst

Summary:

As an experienced Real-World Evidence (RWE) Analyst, you will leverage our cutting-edge healthcare data platform (accessing over 60 million lives in Asia, with ambitious growth plans across Africa and the Middle East) to deliver impactful clinical insights to our pharmaceutical clients. You will be involved in the full project lifecycle, from designing analyses to execution and delivery, within our agile data science team. This is an exciting opportunity to contribute significantly to a growing early-stage company focused on improving precision medicine and optimizing patient care for diverse populations.

Responsibilities:

·      Contribute to the design and execution of retrospective and prospective real-world research, including epidemiological and patient outcomes studies.

·      Actively participate in problem-solving discussions by clearly defining issues and proposing effective solutions.

·      Manage the day-to-day progress of assigned workstreams, ensuring seamless collaboration with the data engineering team on analytical requests.

·      Provide timely and clear updates on project status to management and leadership.

·      Conduct in-depth quantitative and qualitative analyses, driven by project objectives and your intellectual curiosity.

·      Ensure the quality and accuracy of analytical outputs, and contextualize findings by reviewing relevant published research.

·      Synthesize complex findings into clear and compelling presentations and written reports (e.g., slides, documents).

·      Contribute to the development of standards and best practices for future RWE analyses.

Requirements:

·      Undergraduate or post-graduate degree (MS or PhD preferred) in a quantitative analytical discipline such as Epidemiology, (Bio)statistics, Data Science, Engineering, Econometrics, or Operations Research.

·      8+ years of relevant work experience demonstrating:

o  Strong analytical and problem-solving capabilities.

o  Experience conducting research relevant to the pharmaceutical/biotech industry.

·      Proficiency in technical skills including SQL and at least one programming language (R, Python, or similar).

·      Solid understanding of the healthcare/medical and pharmaceutical industries.

·      Proven experience in managing workstream or project management activities.

·      Excellent written and verbal communication, and strong interpersonal skills with the ability to build collaborative partnerships.

·      Exceptional attention to detail.

·      Proficiency in Microsoft Office Suite (Excel, PowerPoint, Word).

Other Desirable Skills:

·      Demonstrated dedication to teamwork and the ability to collaborate effectively across different functions.

·      A strong desire to contribute to the growth and development of the RWE analytics function.

·      A proactive and innovative mindset with an entrepreneurial spirit, eager to take on a key role in a dynamic, growing company.

Job Title: AI/ML Engineer (GenAI & System Modernization)

Experience: 4 to 8 years

Work Mode: Hybrid

Location: Bangalore

Job Overview:

We are seeking AI engineers passionate about Generative AI and AI-assisted modernization to build cutting-edge solutions. The candidate will work on in-house GenAI applications, support AI adoption across the organization, collaborate with vendors for POCs, and contribute to legacy system modernization using AI-driven automation.

Key Responsibilities:

• Design & develop in-house GenAI applications for internal use cases.
• Collaborate with vendors to evaluate and implement POCs for complex AI solutions.
• Work on AI-powered tools for SDLC modernization and code migration (legacy to modern tech).
• Provide technical support, training, and AI adoption strategies for internal users & teams.
• Assist in integrating AI solutions into software development processes.

Must Have:

• Bachelor’s / Master’s degree in Computer Science / Computer Engineering / Computer Applications / Information Technology OR AI/ML-related field.
• Relevant certification in AI/ML is an added advantage.
• Minimum of 2 successful AI/ML POCs or production deployments.
• Prior experience in AI-powered automation, AI-based DevOps, or AI-assisted coding.
• Proven track record of teamwork and successful project delivery.
• Strong analytical and problem-solving skills with a continuous learning mindset.
• A positive, can-do attitude with attention to detail.

AI/ML Expertise:

• Strong hands-on Python programming experience.
• Experience with Generative AI models and LLMs/SLMs (worked on real projects or POCs).
• Hands-on experience in Machine Learning & Deep Learning.
• Experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face).
• Understanding of MLOps pipelines and AI model deployment.

System Modernization & Enterprise Tech Familiarity:

• Basic understanding of Java, Spring, React, Kotlin, and Groovy.
• Experience and willingness to work on AI-driven migration projects (e.g., PL/SQL to Emery, JS to Groovy DSL).
• Experience with code quality, AI-assisted code refactoring, and testing frameworks.

Enterprise Integration & AI Adoption:

• Ability to integrate AI solutions into enterprise workflows.
• Experience with API development & AI model integration in applications.
• Familiarity with version control & collaboration tools (Git, CI/CD pipelines).

Lead Data Scientist  

Job Description  

As a Lead Data Scientist, you will be responsible for identifying, scoping, and delivering data science projects with a strong emphasis on causal inference.

The ability to take large, scientifically complex projects and break them down into manageable hypotheses and experiments to inform functional specifications, and then deliver features in a successful and timely manner, is expected. Maturity, high judgment, negotiation skills, ability to influence are essential to success in this role.

We will rely on your experience in successfully delivering projects that significantly, positively, and measurably affect the business. You should also have experience in large-scale data science projects.

What You'll Do

•      Work closely with the Tech team to convert those POC into fully scalable products.

•      Actively identify existing and new features which could benefit from predictive modelling and productionization of predictive models

•      Actively identify and resolve strategic issues that may impair the team’s ability to meet strategic, scientific, and technical goals

•      Contribute to research and development of AI/ML techniques and technology that fuels the business innovation and growth of -

•      Work closely with engineers to deploy models in production both in real time and in batch process and systematically track model performance

•      Encourage team building, best practices sharing especially with more junior team members

Requirements & Skills

•      Strong problem solving skills with an emphasis on product development

•      Master’s or PhD degree in Statistics, Mathematics, Computer Science, or another quantitative field

•      More than 8 years of experience in practicing machine learning and data science in business or a related field, with a focus on statistical analysis

•      Strong background in statistics and causal inference.

•      Proficient in statistical programming languages such as Python or R, and data visualization tools (e.g., Tableau, Power BI).

•      Strong experience with machine learning algorithms and statistical modeling techniques

•      Strong computing/programming skills; Proficient in Python, Spark, SQL, Linux shell script.

•      Proven ability to work with large datasets and familiarity with big data technologies (e.g., Hadoop, Spark, SQL) is a plus.

•      Experience with end to end feature development (owning feature definition, roadmap development and experimentation

•      Effective leadership and communication skills, with the ability to inspire and guide a team.

•      Excellent problem solving and critical thinking capabilities.

•      Strong experience in Cloud technology.