Ey - Gds Consulting Ai Data Azure Data Architect- Manager jobs at Ey in India, Kochi

Sub Function: Workforce Insights (Global Consulting)

This position is an advisory and consulting manager role to design workforce business strategy and standards for Global Consulting stakeholders. The position will be a key delivery partner, focused on defining workforce business strategy, identifying opportunities and enabling leaders to take workforce-related business decisions through data, insights and analytics. Working closely with WFT COE members, Talent team and global consulting stakeholders, the role aligns on the scope of work, builds data requirements, translates business strategy into measurable outcomes through talent data, research, and analytics, and owns end-to-end delivery of providing actionable insights to enhance organizational effectiveness. The role has a strong understanding of capacity planning, development and implementation of workforce plans (long-term and short-term) and both leads and manages discussions with stakeholders and delivers end to end value including talent attraction, retention, workforce agility, cost optimization. This role requires strong leadership, strategic thinking, and analytical skills to align workforce insights with organizational goals and objectives.

Essential Functions of the Job:

• Acts as a strategic thought partner to the WFT COE and Consulting Talent leader to shape workforce strategy across Global Consulting. Translates complex talent data into actionable insights that inform executive-level decisions and drive enterprise-wide outcomes.
• Builds and maintains strong partnerships with global Consulting Talent leaders and senior stakeholders across Talent Functions and Super Regions. Regularly engages to understand strategic objectives and challenges, translating them into targeted projects and deliverables that support informed decision-making.
• Collaborates with internal clients to deliver relevant data and insights, guiding them in leveraging analytics to achieve workforce goals. Serves as a trusted advisor, enabling positive action through evidence-based recommendations.
• Analyses workforce datasets to identify trends, patterns, and opportunities for improvement. Applies predictive modelling, scenario planning, and AI-driven tools to forecast future workforce needs and inform strategic planning.
• Partners with cross-functional teams, centers of excellence, and communities of practice to ensure alignment, reinforce data governance, and promote consistency in workforce analytics practices.
• Prioritises requests for new or enhanced analytics solutions based on business needs. Oversees projects and ensures the availability of required skills and resources to deliver high-impact outputs.
• Leads and manages workforce-related projects, programs, and change initiatives. Designs and implements workforce planning solutions, conducts ongoing business research and analysis, and drives transformation aligned with organisational goals.
• Applies deep project management expertise to optimise delivery, identify risks, and implement mitigation strategies in consultation with leadership.
• Ensures data integrity, consistency, and compliance with global reporting standards. Upholds best practices in data management and reporting across all workforce analytics initiatives.
• Builds and sustains strong relationships with internal and external stakeholders to foster collaboration, share insights, and enhance the impact of workforce strategies.
• Works with the WFT COE leader to conduct strategic business reviews with consulting leaders, presenting insights, progress, and recommendations that shape workforce planning and talent strategy.
• Curates and publishes newsletters that combine internal and external insights tailored to specific functions or service lines, promoting thought leadership and strategic awareness.

Analytical/Decision Making Responsibilities:

• Engage with diverse business stakeholders to gather requirements, align on analytical objectives, and co-design insightful solutions that address strategic workforce priorities and operational challenges.
• Apply a deep understanding of talent strategy, organisational dynamics, and operational levers to contextualise data and ensure insights are relevant, timely, and aligned with business goals.
  Make informed decisions to define, deliver, and continuously improve workforce analytics processes and functional delivery standards. Prioritise initiatives based on business impact and stakeholder needs.
• Translate complex analytical outputs into clear, actionable recommendations that drive workforce planning, talent management, and organisational effectiveness. Tailor insights to different stakeholder audiences to maximise impact.
• Integrate external market insights and benchmarking data into internal analytics to inform strategic decisions, identify competitive opportunities, and influence change across functions and geographies.
• Monitor and evaluate the integrity, consistency, and compliance of workforce data. Implement best practices in data management and reporting to ensure a trusted source of truth for decision-making.
• Identify opportunities for process improvement in data collection, modelling, and insight generation. Introduce innovative analytical techniques and tools to enhance efficiency, scalability, and business relevance.
• Assess the effectiveness of analytics initiatives by measuring their influence on decision-making and business outcomes. Use feedback loops and performance metrics to refine approaches and optimise delivery.
• Collaborate with centres of excellence, digital talent teams, and analytics communities to share learnings, harmonise methodologies, and promote consistent application of insights across the enterprise.

Knowledge and Skills Requirements:

• Deep understanding of talent strategy, organizational dynamics, and business operations. Ability to align workforce analytics with strategic priorities and translate business needs into actionable data solutions.
• Strong knowledge across core HR domains including Talent Acquisition, Learning & Development, Performance & Reward, Mobility, and Workforce Planning. Familiarity with global consulting models and talent delivery frameworks.
• Proactive consulting mindset with the ability to interpret complex business requirements and co-create pragmatic, high-impact solutions.
• Expertise in data analytics tools and techniques, including SQL, Python, R, and Spark. Proficient in visualization platforms such as Power BI. Expert in data storytelling and generating insights for diverse audiences.
• In-depth knowledge of SuccessFactors’ configuration, reporting capabilities and integration with other platforms.
  Strong project management skills with the ability to lead complex initiatives, manage timelines and budgets, and deliver outcomes with agility. Familiarity with tools like Azure DevOps, MS
• Power Platform, and automation frameworks
• Effective teaming skills to collaborate across talent ecosystems, digital teams, and business functions. Promotes knowledge sharing and alignment with centers of excellence and communities of practice.
• Excellent stakeholder management capabilities to influence senior leadership, drive change, and ensure adoption of workforce solutions. Skilled in navigating ambiguity and leading transformation in complex environments.
• Strong written and verbal communication skills to articulate insights influence decisions and contribute to strategic narratives. Experience in curating newsletters and thought leadership content tailored to business needs
• Proficiency in data management practices including governance, privacy, and security protocols. Experience with enterprise data platforms for secure and scalable analytics delivery
• High attention to detail and organizational skills to manage multiple priorities, operate within defined budgets, and meet delivery timelines.
• Strong analytical and research capabilities to track emerging trends, benchmark practices, and identify future opportunities in workforce analytics and talent strategy.

Other Requirements:

• Due to global nature of the role; willingness to work alternative hours will be required
  Travel may be required budget dependent

Education:

• Educated to degree level
• Data and Technology background preferred (Data Science, Computer Science, Engineering)
• Higher professional or master’s qualification is preferred, not required

Certification Requirements:

• Higher professional or master’s qualification in a related discipline is preferred, not required
• Active membership in related professional bodies or industry groups is preferred, not required

Experience:

• Proven track record in data analytics, insights generation, and strategic workforce planning within complex, matrixed organisations. Experience in delivering functional reporting and analytics solutions that drive business outcomes.
• Demonstrated ability to solve complex business problems using structured methodologies and data-driven approaches. Experience navigating ambiguity and delivering results in fast-paced, evolving environments
• Experience in building digital capability within teams, defining key competencies, and implementing learning programs to advance skills in analytics, visualization, and data storytellingDemonstrable experience in partnering with talent and business stakeholders to understand requirements and co-create digital solutions that address strategic workforce needs
• Experience working with third-party vendors and external system implementors to design, build, and enable reporting and analytics solutions. Proven ability to manage external relationships and ensure delivery excellence
• Experience leading and participating in globally dispersed teams to enhance services, processes, and standards. Skilled in managing cross-cultural collaboration and virtual delivery models
  Demonstrated ability to anticipate challenges, proactively mitigate risks, and lead change initiatives that align with organisational transformation goals
• Experience conducting internal and external research to identify best practices, benchmark performance, and provide insights that inform strategic decisions
  Proven experience in providing subject matter expertise and strategic advisory to senior leaders, contributing to successful change outcomes and workforce strategy execution

Required Skills:

• Proven experience as a Power BI Developer with a strong portfolio of reports/dashboards and data models.
• Proficiency in SQL and experience with Snowflake as a data source.
• Experience with migrating reports from any source to Snowflake. Teradata is preferrable.
• Familiarity with SSRS and the process of migrating SSRS reports to Power BI.
• Strong analytical and problem solving skills.\
• Proficiency in Python for data processing and automation tasks.
• Good knowledge in GEN AI based automation.
• Excellent communication and collaboration skills.

Key Responsibilities:

• Analyse existing Power BI reports/paginated reports and SSRS reports to understand data sources and report structures.
• Collaborate with stakeholders to gather requirements for the migration process.
• Repoint all existing Power BI reports/paginated reports to the new Snowflake data source/parameterize the connection properties.
• Migrate SSRS reports to Power BI, ensuring all functionalities are preserved.
• Optimize Power BI reports for performance and usability.
• Implement Row level security/object level security wherever applicable.
• Configure the gateways/connections to support new data sources.
• Automate/accelerate the migration process using GEN AI.
• Develop and maintain documentation related to the migration process and new report functionalities.
• Utilize Python for data manipulation and transformation as needed during the migration process.
• Provide support and training to end-users on the new reporting solutions.

Data Governance - Informatica MDM and Data Quality (DQ) - Manager

Job Description:

The ideal candidate will be responsible for the technical aspects of implementing and managing Informatica Master Data Management (MDM) and Data Quality (IDQ) solutions to support data management and quality initiatives, and the ability to handle all required activities with minimal support.

Responsibilities:

• Lead the end-to-end implementation of Informatica MDM and IDQ, including requirement gathering, solution design, configuration, and maintenance to meet business requirements.
• Work closely with data governance teams to integrate MDM and IDQ with other data management tools and systems.
• Utilize Informatica MDM to create a centralized, consistent view of master data entities, ensuring alignment with organizational policies and standards.
• Develop and maintain documentation related to system configuration, mapping, processes, and service records.
• Define policies, develop and establish MDM processes, and document procedures for exception handling.
• Evaluate and ensure infrastructure readiness within client environments for the proposed solution.
• Evaluate and propose solutions with appropriate MDM hub designs to meet clients' requirements.
• Monitor daily job execution, schedule jobs, and collaborate with informatica support teams for installation, upgradation, and troubleshooting.
• Perform data profiling, cleansing, and standardization activities within Informatica IDQ.
• Define and implement data quality rules, business glossaries, and data quality profiling, and publish Data Quality results dashboards.
• Train end-users and technical staff on the effective use of Informatica MDM and IDQ tools.
• Support business development efforts that include proposal support, proposal response development, and client presentations.
• Develop comprehensive training materials and conduct training sessions for client employees on the effective use of the implemented tools.

Must have skills:

• 8+ years of relevant experience in Informatica MDM and IDQ.
• Strong understanding of data management, data quality, and governance principles.
• Proven experience in implementing data quality rules, business glossaries, data quality profiling, and publishing Data Quality results dashboards.
• Ability to articulate and propose technology solutions to meet business requirements.
• Ability to handle all required activities with minimal support.

Good To have:

• Experience in the Oil and Gas/Power and Utility/Manufacturing.
• Good understanding of Data Management and Governance frameworks and leading practices such as DAMA, CMMI, or NDMO.
• Proficiency with industry-standard data sources and systems (PI, SAP, LIMS, SPF, Maximo, SharePoint, SCADA, HYSYS).
• Familiarity with related Data Governance and Management tools and technologies such as EDC, AXON, Microsoft Purview and Collibra.

Your key responsibilities

• Have proven experience in driving Analytics GTM/Pre-Sales by collaborating with senior stakeholder/s in the client and partner organization in BCM, WAM, Insurance. Activities will include pipeline building, RFP responses, creating new solutions and offerings, conducting workshops as well as managing in flight projects focused on cloud and big data.
• Need to work with client in converting business problems/challenges to technical solutions considering security, performance, scalability etc.
• Need to understand current & Future state enterprise architecture.
• Need to contribute in various technical streams during implementation of the project.
• Provide product and design level technical best practices
• Interact with senior client technology leaders, understand their business goals, create, architect, propose, develop and deliver technology solutions
• Define and develop client specific best practices around data management within a Hadoop environment or cloud environment
• Recommend design alternatives for data ingestion, processing and provisioning layers
• Design and develop data ingestion programs to process large data sets in Batch mode using HIVE, Pig and Sqoop, Spark
• Develop data ingestion programs to ingest real-time data from LIVE sources using Apache Kafka, Spark Streaming and related technologies

Tech Stack: -

• AWS
• Experience building on AWS using S3, EC2, Redshift, Glue, EMR, DynamoDB, Lambda, Quick Sight, etc.
• Experience in Pyspark/Spark / Scala
• Experience using software version control tools (Git, Jenkins, Apache Subversion)
• AWS certifications or other related professional technical certifications
• Experience with cloud or on-premises middleware and other enterprise integration technologies.
• Experience in writing MapReduce and/or Spark jobs.
• Demonstrated strength in architecting data warehouse solutions and integrating technical components.
• Good analytical skills with excellent knowledge of SQL.
• 8+ years of work experience with very large data warehousing environment
• Excellent communication skills, both written and verbal
• 3+ years of experience with detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT, and reporting/analytic tools.
• 3+ years of experience data modelling concepts
• 3+ years of Python and/or Java development experience
• 3+ years’ experience in Big Data stack environments (EMR, Hadoop, MapReduce, Hive)

Skills and attributes for success

• Architect in designing highly scalable solutions AWS.
• Strong understanding & familiarity with all AWS/GCP /Bigdata Ecosystem components
• Strong understanding of underlying AWS/GCP Architectural concepts and distributed computing paradigms
• Hands-on programming experience in Apache Spark using Python/Scala and Spark Streaming
• Hands on experience with major components like cloud ETLs, Spark, Databricks
• Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB
• Knowledge of Spark and Kafka integration with multiple Spark jobs to consume messages from multiple Kafka partitions
• Solid understanding of ETL methodologies in a multi-tiered stack, integrating with Big Data systems like Cloudera and Databricks.
• Strong understanding of underlying Hadoop Architectural concepts and distributed computing paradigms
• Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB
• Good knowledge in Apache Kafka & Apache Flume
• Experience in Enterprise grade solution implementations.
• Experience in performance bench marking enterprise applications
• Experience in Data security [on the move, at rest]
• Strong UNIX operating system concepts and shell scripting knowledge

To qualify for the role, you must have

• Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution.
• Excellent communicator (written and verbal formal and informal).
• Ability to multi-task under pressure and work independently with minimal supervision.
• Strong verbal and written communication skills.
• Must be a team player and enjoy working in a cooperative and collaborative team environment.
• Adaptable to new technologies and standards.
• Participate in all aspects of Big Data solution delivery life cycle including analysis, design, development, testing, production deployment, and support
• Responsible for the evaluation of technical risks and map out mitigation strategies
• Experience in Data security [on the move, at rest]
• Experience in performance bench marking enterprise applications
• Working knowledge in any of the cloud platform, AWS or Azure or GCP
• Excellent business communication, Consulting, Quality process skills
• Excellent Consulting Skills
• Excellence in leading Solution Architecture, Design, Build and Execute for leading clients in Banking, Wealth Asset Management, or Insurance domain.
• Minimum 8 years industry experience

Ideally, you’ll also have

• Strong project management skills
• Client management skills
• Solutioning skills

What we look for

• People with technical experience and enthusiasm to learn new things in this fast-moving environment

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

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:

This role requires a proactive individual who can conduct comprehensive assessments, develop data quality policies, and implement effective solutions to enhance data integrity across various domains.

Responsibilities:

• Conduct current state assessments of client environments across all domains of data governance and data management.
• Perform initial data quality assessments using open-source tools and demonstrate proficiency with advanced data quality tools.
• Develop data quality rules, define data quality issues resolution, and create policies and processes to address these issues.
• Design and implement data quality issue resolution strategies, including defining Key Performance Indicators (KPIs) and experience in implementing data quality KPIs.
• Lead full-scale implementation and configuration of leading data quality tools, with a focus on Informatica Data Quality.
• Collaborate with cross-functional teams to ensure data quality standards are met and maintained.
• Prepare and deliver compelling presentations to stakeholders, showcasing findings and recommendations.
• Support business development initiatives and contribute to the delivery of projects globally.

Must have skills:

• Relevant experience in Informatica Data quality or similar tools.
• Strong understanding of data management, data quality, and governance principles.
• Proven experience in implementing data quality rules, business glossaries, data quality profiling, and publishing Data Quality results dashboards.
• Ability to articulate and propose technology solutions to meet business requirements.
• Ability to handle all required activities with minimal support.

Good To have:

• Good understanding of Data Management and Governance frameworks and leading practices such as DAMA, CMMI, or NDMO.
• Familiarity with related Data Governance and Management tools and technologies such as EDC, AXON, Microsoft Purview and Collibra.

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.

Qualifications:

• Bachelors or master’s degree in computer science, Artificial Intelligence, or a related field.
• 2+ years of experience in generative AI.
• 3+ 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.
• Excellent communication and interpersonal skills.