Ey-gds Consulting-aia-data Science-senior jobs at Ey in India, Thiruvananthapuram

Your key responsibilities

• Working in small and dynamic teams to provide expert financial, commercial and strategic advice to clients, both on transactions and more broadly on policy projects
• Helping our clients make informed and robust evidence-based decisions through option appraisals
• Building and working with financial models, including establishing appropriate data structures and undertaking sensitivity and scenario analysis
• Creating business cases involving strategic, economic, financial and commercial evaluation
• Structuring and advising on procurements, including evaluating bids received for projects on behalf of project sponsors and helping sponsors drafting bids for the provisions of public services
• Presenting impactful reports to senior client stakeholders to facilitate effective decision making
• Providing support to help clients achieve their sustainability goals
• Driving key business development activities, including EY’s wider growth strategies

Skills and attributes for success

• An understanding of, and interest in, the Government, Energy and Transport sectors
• Financial/data analysis and financial modelling capability
• Commercial and financial acumen
• High quality report drafting and document preparation
• Strong and engaging presentation skills
• The ability to thrive in a flexible working environment as part of a diverse and dynamic team

To qualify for the role you must have

• A bachelor degree level or equivalent
• Excellent financial skills, including an understanding of corporate finance principles
• Excellent communication skills, both verbal and written
• High degree of personal drive and motivation to enhance your knowledge and succeed
• The ability to build effective working relationships with team members, organisations and clients

Ideally, you’ll also have

• An advanced professional financial qualification e.g. CA, ACA, CFA, MBA
• Experience in financial modelling
• Experience working in the Government, Energy or Transport sectors
• At least five years of uninterrupted residency in the UK

Job Title: Generative AI Lead Developer

Department: Machine Learning

Responsibilities:

• Design and develop AI and Generative AI based custom solutions for our service delivery teams
• Work with other team members to implement and deploy generative AI systems into production.
• Monitor and manage generative AI systems in production to ensure that they are meeting performance and reliability requirements.
• Develop and implement best practices for building, deploying, and managing generative AI systems.
• Stay up-to-date on the latest research and developments in generative AI and apply new knowledge to our work.
• Collaborate with other engineers, scientists, and product managers to develop and deliver innovative generative AI solutions.
• Mentor and guide junior engineers

Qualifications:

• Bachelors or master’s degree in computer science, Artificial Intelligence, or a related field.
• 1+ years of experience in generative AI.
• 6+ years of experience in AI based software development

Preferred Skills and Experience:

• Strong experience in designing, building, and deploying scalable machine learning models in cloud platforms such as Azure or GCP
• Experience with a variety of generative AI models and techniques.
• Experience with deep learning models such as GANs, diffusion models, and transformers.
• Experience with prompt engineering and machine learning optimization
• Experience with computer vision and natural language processing.
• Experience with reinforcement learning.
• Experience with distributed computing and scalable systems.
• Experience with DevOps and CI/CD.
• Experience with machine learning ethics
• Experience with generative AI applications in specific domains such as talent management, finance, risk management
• Excellent communication and interpersonal skills.

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Job Summary

This person would have significant experience in the Full stack technologies. He/she needs to have strong communication skills and the ability to work with our clients and teams across globe. An experience in working on Azure and dev ops tools would be an added advantage.

Your Responsibilities

• Provides technical direction for the development, design, and systems integration across multiple client engagements from definition phase through implementation
• Keep up to date on emerging capabilities in open source area and identify where and how new capabilities can be applied
• Work closely with Product Management to plan and negotiate iterative development cycles in an Agile environment
• Suggests alternative technical solutions to meet client requirements more efficiently, and/or with greater reusability.
• Contribute to EY’s internal knowledge base on best practices in this full technology area.
• Completion of assigned tasks on time and regular status reporting to the lead
• Keen sense of urgency and the ability to prioritize problems, analyze and resolve issues.
• Manage the team members by ensuring that the tasks are completed on time.

Technical Skills Requirements

• Experience programming with object oriented and/or declarative languages
• Experience in developing REST services
• Highly experienced with back-end programming languages like Node JS
• Experience with developing web-based solutions using HTML 5, CSS/CSS3, JavaScript framework like Angular JS, React etc.
• Familiarity with database technology such as MySQL, Oracle and MongoDB
• Experience using modern software configuration management tools in an automated build environment such as Git, Azure Dev Ops etc.
• Azure/AWS knowledge is required
• Agile development experience
• Work closely with Product Management to plan and negotiate iterative development cycles in an Agile environment.
• Should have experience in architecting applications in Cloud
• Strong communication skills
• Ability to work in a team environment as well as individual contributor
• Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
• Ensuring non-functional aspect like high availability, scalability, security, performance, resiliency, cloud readiness & monitoring etc of partner integration are well crafted in architecture and design produced and are validated before & after implementation of application / enhancement / initiative / project etc.

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Job Description: EY GDS – Data and Analytics (D&A) – Sr.Manager – Data Scientist

We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 14+ years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.

Your technical responsibilities:

• Contribute to the design and implementation of state-of-the-art AI solutions.
• Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.
• Collaborate with stakeholders to identify business opportunities and define AI project goals.
• Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.
• Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.
• Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.
• Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.
• Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
• Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.
• Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
• Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.
• Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.
• Ensure compliance with data privacy, security, and ethical considerations in AI applications.
• Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus.
• Minimum 14+ years of experience in Data Science and Machine Learning.
• In-depth knowledge of machine learning, deep learning, and generative AI techniques.
• Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.
• Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.
• Familiarity with computer vision techniques for image recognition, object detection, or image generation.
• Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.
• Expertise in data engineering, including data curation, cleaning, and preprocessing.
• Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.
• Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.
• Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.
• Understanding of data privacy, security, and ethical considerations in AI applications.
• Track record of driving innovation and staying updated with the latest AI research and advancements.

Good to Have Skills:

• Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.
• Utilize optimization tools and techniques, including MIP (Mixed Integer Programming).
• Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models.
• Implement CI/CD pipelines for streamlined model deployment and scaling processes.
• Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.
• Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation.
• Implement monitoring and logging tools to ensure AI model performance and reliability.
• Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.
• Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Our objective is to help the clients to improve the performance and productivity of their Supply Chain & Operations (SC&O). With expertise in leading SC&O proprietary frameworks, you will help clients to improve reliability, flexibility and responsiveness of their supply chain whilst reducing the total cost. Typical role representation would include developing operating models, redesigning / reengineering supply chain processes, performing process assessments and reviews, developing tools and coming up with thought leadership.

Your key responsibilities

As a Manger, you will be part of a team of professionals with extensive Supply Chain consulting and industry experience. Typical role representation would include supporting on client engagements related to Supply Chain consulting. Drawing on your knowledge and experience, you will also be involved in creating innovative insights for clients, suggesting methods and practices to optimise their SC&O processes, improving operations and creating new sources of value, and contribution to thought leadership. You are also expected to attend stakeholder meetings and support/build winning technical proposals in response to the Tender and/or Requests for Proposal (RFPs) from business clients.

An important part of your role will be to actively perform research, establish, maintain and strengthen internal and external relationships. This job responsibility will require you to travel and be on client site in MENA region particularly Middle East.

Specific responsibilities include but are not limited to:

• Work closely with business stakeholders on Procurement assignments related to performance improvement, target operating model and operational experience – transformation/ optimization/re-engineering, etc. and translate the client needs and priorities to sustainable solutions.
• Understand client’s business objectives, procurement challenges and opportunities for improvement
• Conduct assessments of client’s procurement functions to identify areas of optimization/automation/cost reduction
• Develop implementation roadmaps aligned with client’s business needs and industry best practices.
• Lead procurement transformation initiatives including process redesign and technology implementation support
• Provide data-driven insights using advanced analytics and business intelligence tools to support decision making and drive continuous improvement in procurement operations.
• Ensure consistency in delivering high quality work products exceeding the client expectations and meeting delivery timelines
• Work closely with key stakeholders and lead, design and develop winning technical proposals with respect to the tender floated or RFPs received from business clients.
• Build, maintain and strengthen working relationships with business stakeholders at appropriate levels and clients.
• Continually enhance your technical and consulting skills on supply chain, there by contributing to the development of your own and team's technical acumen
• Liaise with internal teams and field of play teams to help identify opportunities on SC&O and actively contribute to business development and automation activities.
• Develop and groom team members for succession planning, as needed.

Skills and attributes for success

• Good understanding of end-to-end supply chain process covering one or more of the following areas: sourcing, purchasing, contract life cycle management, supplier management, logistics, order management, warehousing
• Knowledge of Category Management and Supplier Relationship Management (SRM) frameworks.
• Strong ability to research and write technical proposal content in MS PowerPoint
• Business process re-engineering and optimization in diverse industry like Oil & Gas, Power & Utilities, Real estate & construction, Consumer Goods & retail, Manufacturing will be valuable for the role.
• Good understanding of any of the ERP applications on the domain area
• Participation in Supply chain transformation projects will be good for the role
• Good interpersonal skills with ability to build rapport with all stakeholders
• Excellent communication skills (both oral and written)

To qualify for the role, you must have

• 7- years of work experience in various Supply Chain projects with experience in pre-sales operations. Consulting experience would be an added advantage
• BE/B-Tech/MBA/higher degrees in operations
• Exposure to writing technical proposals in response to RFP / Tender
• Knowledge of Supply chain domain including but not limited to operating model design, organisation restructuring, feasibility study, operational efficiency improvement, process transformation, re-engineering, optimization and analytics (supplier segmentation, spend analytics, benchmarking).
• Addon experience in Procurement / Supplier / 3rd party audits
• Strong in Excel, PowerPoint, Visio, Aris, Power Bi, Tableau, etc.
• Exposure to ERP systems and tools like SAP, Oracle, Ariba, Coupa, LLamasoft, Anaplan, etc.
• Willing to travel to the Middle East and work on Sunday to Thursday working week and support MENA timings (11AM – 8.30 PM), as preferred (supporting Middle East Clients)

Ideally, you’ll also have

• Project management skills
• Customer handling, Stakeholder management, Report writing, Strong interpersonal communication skills and experience in usage of analytical tools/ representations
• Certification in ISO, Lean, Six sigma, TQM, KAIZEN will be an added/preferred advantage

What we look for

• A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment
• An opportunity to be a part of market-leading, multi-disciplinary team of business consultant professionals, in the integrated global business worldwide.
• Opportunities to work with EY Business Consulting practices regionally/globally with leading businesses across a range of industries

You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you

Primary Responsibilities and Accountabilities:

• Lead and manage all aspects of Oracle Fusion Finance implementation projects, ensuring projects are delivered on time, and to the highest quality standards.
• Build and maintain strong client relationships, acting as the primary point of contact for project-related communication and coordination.
• Develop and execute comprehensive project plans, including scope definition, resource allocation, risk management, issue resolution and monitor project progress. Experience in Project planning and estimation and Support Program and Project Management Office (PMO)
• Interpret and map functional/client requirements against standard Oracle Cloud Finance processes.
• Design module-specific and end-to-end process solutions in the context of integrated Finance and Supply Chain applications and deliver and design solutions from offshore/ready to travel onsite if required.
• Maintain and enhance existing Oracle Financial modules like General Ledger, Accounts Payables, Accounts Receivables, Fixed Assets, Fusion TAX, and Cash Management.
• Knowledge in Sub Ledger Accounting/Fusion Accounting Hub is an added advantage
• Conduct workshops and client interviews to gather and document detailed functional and non-functional requirements. Manage project documentation based on OUM or TCM methodology.
• Collaborate with functional/Technical consultants to design and document the overall solution architecture, ensuring it aligns with client requirements and best practices.
• Oversee quality assurance activities throughout the project lifecycle, including testing, user acceptance testing (UAT), and go-live support. Drive and assist business users during CRPs, SITs, and UATs.
• Manage and communicate project changes effectively to stakeholders, ensuring all parties are informed and aligned.
• Continuously seek opportunities to improve project delivery methodologies and best practices, Support in preparing and ensuring quality deliverables, test scripts, and test cases, and support in trainings.
• Lead and mentor project teams, including functional consultants, technical resources, and client stakeholders.
• Training: Manage, support, and conduct end-user training and prepare appropriate training materials.
• Manage and support internal KPIs.

Experience:

• Experience in Oracle ERP Finance modules (AP, AR, GL, FA, CM, TAX & SLA) preferably in Fusion
• Minimum 8 years of relevant experience working with Oracle PPM product suite (EBS and Fusion) with relevant experience in all functional modules.
• Experience in at least three full life cycle implementations, with at least one implementation in in Fusion finance offerings and Clear understanding of the functional flow in finance modules and its integrations.
• Experience in a client-facing delivery role and experience in project planning and management. Strong understanding of project management methodologies (e.g., Agile, Waterfall, PRINCE2).
• Proficiency in project management tools such as Microsoft Project, Jira, or other relevant tools
• Experience in major industry sectors like retail, government, energy, real estate, oil & gas, power & utilities

Competencies / Skills:

• Strong leadership, customer handling skills and ability to lead and mentor team members.
• Ability to drive projects and teams independently, work under pressure, and meet deadlines.
• Effective communication skills and ability to translate requirements into design documents.
• Excellent organizational, time management, analytical and critical thinking skills.
• Ability to acquire, absorb, and apply complex business knowledge to problems quickly.
• Ability to follow well-defined release management processes and stay focused on release priorities.
• Must have a valid passport for business traveling, which involves work at client sites. Willing to work in MENA shift timings (Sunday to Thursday).
• Understanding of AI applications in project portfolio management, including predictive analytics, automation tools, and AI-driven insights.

Education:

• Should be a graduate with a degree in Finance, or Postgraduate such as MBA (Finance), Chartered Accountant, Cost Accountant, or ACCA from a reputed educational institution
• Having Oracle certification is an added advantage.

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Technology - Data Management & Strategy – Senior Manager – Life Sciences Sector

We are seeking an experienced forecasting leader with over 10+ years of experience who is passionate about all things commercial pharma. This role is focused on strategic forecasting and allied capabilities and hence candidate should have deep expertise in commercial analytics, strategic/financial forecasting and preferably demand planning/supply chain forecasting.

Areas of Expertise needed in Strategic Planning, Forecasting & Benchmarking, Market & GAP analysis, Financial Reporting, Market Entry Strategy, Commercial Analytics & Brand Development

As a Senior Manager in Data Management & Strategy, you will lead the charge in technology transformation projects, aligning with strategic objectives to drive desired outcomes. You'll be the assurance to leadership, managing timelines, costs, and quality standards, while steering both

You will guide clients through the evolving world of analytics, data governance, and modern data platforms. We’ll rely on you to provide strategic leadership and a unique business perspective on how data and analytics can improve operations, increase agility, and drive transformation.

In this role, you will design and apply comprehensive methods and practices to govern the entire lifecycle of data assets, ensuring their protection and monetization. You will perform maturity assessments on data management capabilities and advise on tools and roadmaps to implement them, all while aligning data strategies with business objectives.

Your key responsibilities

As a Senior Manager in Data Management and Strategy, you will lead complex processes and projects, ensuring quality and risk management while navigating organizational dynamics. This role offers a unique opportunity to work closely with clients, providing insights and solutions that drive business value. You will be responsible for managing client relationships and engagement delivery, with regular travel requirements to meet client needs.

In this pivotal role, you will:

• Exercise judgment in selecting methods and techniques for obtaining results.
• Define and execute the analytics and data governance strategy for oil & gas clients, aligning with business objectives and regulatory requirements.
• Develop and implement robust data governance frameworks, including policies, data stewardship models, roles, and accountability across the organization.
• Oversee the delivery of technology projects, ensuring adherence to methodologies like Agile and Waterfall, and mentoring team members.
• Drive continuous improvement and innovation, applying research, analysis, and best practices to advance processes and solutions.
• Manage complex technical initiatives, providing expert guidance, resolving issues, and achieving performance objectives across client service, risk management, and team development.
• Engage actively with clients, leading workstreams, and identifying opportunities to expand services.
• Spearhead RFP responses and manage engagement economics, including resource planning and budgeting.
• Travel as required to meet client needs and project demands.

Overall delivery

• Lead delivery of large client engagements be accountable for success of the delivery with very high quality and timeliness in an evolving business environment.
• Develop resource plans and budgets for engagements, ensuring effective engagement economics.
• Strong functional knowledge in brand volume forecasts for both short-term and long-term strategic and operational planning. Solve regional and brand-level analytical challenges using quantitative approaches
• Deep understanding of forecasting algorithms (time series forecasting, patient flow), external datasets (e.g. IQVIA, Kantar, Komodo)
• Manage project budgets, timelines, and resources to ensure successful project delivery.
• Advise team on performing sensitivity analyses to identify opportunities and manage risks, enhancing forecast accuracy.
• Strong digital engineering, data science and/or data engineering experience working with life science clients
• Strong knowledge of AI technologies and frameworks
• Working experience with industry leading methods of delivery for digital, data and analytic products
• Help set and execute governance for engagements including performance scorecards, RACI, manage risk/mitigation etc.

Practice development

• Serve as a part of a leadership team at EY focusing on all things customer in pharma and helping build the practice to achieve future vision and goals.
• Contribute actively to points-of-view, POCs, proposals and selling materials to help win and close deals across horizontals and use cases
• Identify opportunities where EY can push frontiers for pharma clients in the customer space

• Stay up to date with the latest pharma trends and evaluate state-of-the-art technologies/framework to drive innovation.
• Identify and develop new business opportunities within the life sciences domain.

Stakeholder management

• Foster strong relationships with clients, acting as a trusted advisor and advocate for their success.
• Collaborate with clients and stakeholders to translate business asks to scalable, operable solutions

Team and People development

• Provide leadership and development for direct reports
• Recruit, develop, and retain a strategic and operationally capable workforce skilled and knowledgeable in pharma
• Effectively manage an agile organization that continuously meets the needs of a changing portfolio
• Build an organizational culture that fosters inclusion and innovation.
• Create an environment that fosters professional and career development. In partnership with line management, develop the team’s expertise in pharma, therapeutic area science, strategic thinking, project management and leadership
• Develop and mentor junior team members, fostering a culture of continuous learning and growth.
• Put together development plan for team members and help plan career growth and opportunities for other team members
• Evaluate and manage performance for leaders and other team members

Skills and attributes for success

To excel in this role, you will need:

• Proven ability to construct and direct technology projects in line with organizational goals.
• Expertise in project and program delivery methodologies, with the ability to mentor others.
• Strong analytical skills to develop creative solutions for complex problems.
• Leadership skills to manage professional staff and supervise teams effectively.
• Strategic thinking to drive sales, business growth, and client satisfaction.

Experience:

• 8+ years of experience in python programming specializing in data handling, managing, ETL jobs
• 8+ years of hands-on experience in querying data in cloud platforms such s AWS, Azure etc.
• 8+ years of experience in building statistical forecast models for pharma industry
• Exposure to sourcing/automating data pulls using APIs from different platforms e.g. evaluate pharma, pricecentriq
• 8+ Years of experience in leading report development and design
• Pharma forecast data exposure preferred. E.g. Exposure to IQVIA MIDAS, KANTAR, GLOBOCAN
• Understanding of Concepts and Metrics in forecasting funnel. E.g. Incidence, prevalence other Epi metrics, Units, patients, dosage, Line of therapy etc.

Skillsets:

• Visualization Tools: Power BI, Spotfire, Power Apps
• Data Manipulation & Analysis: SQL, Excel
• Programming Languages: Python
• Data Sources: Familiarity with relational databases, data lakes, and clinical trial data systems
• Cloud Platforms: AWS (S3, EC2, Lambda), Azure (Data Lake, Azure Functions)
• Programming Languages: Python (Dash, Pandas, NumPy), SQL
• DevOps Tools: Jenkins, Git, GitHub (good to have)
• Database Technologies: MySQL, PostgreSQL, NoSQL databases
• Certification in AWS Solutions Architect / Microsoft Azure Data Engineer (good to have)
• Statistical Programming Languages: Python, R
• Libraries & Frameworks: Pandas, NumPy, Scikit-learn, StatsModels, Tidyverse, caret
• Data Manipulation Tools: SQL, Excel
• Data Visualization Tools: Matplotlib, Seaborn, ggplot2,
• Machine Learning Techniques: Supervised and unsupervised learning, model evaluation (cross-validation, ROC curves)

To qualify for the role, you must have

• A bachelor’s degree required; Master’s degree preferred in a quantitative or technical field (e.g., statistics, computer science, engineering, mathematics) with prior consulting experience required.

• 8 years+ of relevant experience in delivering client engagements across sizes and geographies with deep expertise in Pharma commercial industry
• Specialized skills in Data Fabric, Data Governance, Enterprise IT Architecture, and other data management disciplines
• Well-developed business acumen and strong problem-solving attitude with the ability to visualize scenarios, possible outcomes & operating constraints.
• Good communication skills both written and oral, ability to make impactful presentations & expertise at using excel & PPTs.
• A trusted advisor to our clients, guiding them through the entire customer transformation journey, from strategy development to implementation
• Familiarity with current techno-commercial context and ability to integrate technology thinking into customer solutioning
• Excellent problem-solving skills and ability to scale engagements at will

Ideally, you’ll also have

• A proactive approach to identifying and solving client issues.
• Excellent communication and leadership skills to guide teams and interact with clients.