251 Data Architecture jobs in India

**Project Role**:Data Science Practitioner
- ** Project Role Description**:Manage, architect and analyze big data in order to build data driven insights and high impact data models. Create a value chain to help address the challenges of acquiring data, evaluating its value, distilling & analyzing. Examine data from multiple sources and share insights which provide competitive advantage. Contribute to assets/offerings and thought leadership. Act as Subject Matter Expert in area of expertise and enhance Accentures marketplace reputation.
- ** Management Level**:8
- ** Work Experience**:8-10 years
- ** Work location**:Bengaluru
- ** Must Have Skills**:

- ** Good To Have Skills**:

- ** Job Requirements:
**- **Key Responsibilities **:Design, build, deploy and manage data architecture Responsible for implementing policies, rules, or standard on how data is collected and stored in a database system Analyzing and Designing Data Requirements Determines database structural requirements by analyzing client objectives and evaluating current systems Develops database solutions by designing proposed system, defining physical structure and functional capabilities, security, back-up, and recovery specifications
- **
Technical Experience **:1Denodo 8 implementation experience 2Knowledge on Data architecture and modelling, relational and non-relational data handling 3Strong SQL skills 4Knowledge of Java and Reporting tools - Power BI/Spotfire 5Devops experience good to have
- **
Professional Attributes **:Good communication skills
- **
Educational Qualification **:Graduate

15 years of full time education

Relocation Assistance Offered Within Country
Job Number # - Mumbai, Maharashtra, India
**Who We Are**
Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specialising in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!
Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values-Caring, Inclusive, and Courageous-we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.
**Title: Sr. Analyst, Data Architecture**
**Brief introduction - Role Summary/Purpose :**
+ The candidate will collaborate with Colgate Business teams and CBS Analytics to identify and develop high-impact use cases utilizing Prompt Engineering.
+ This position requires a strong foundation in Artificial Intelligence, Machine Learning, and Generative AI.
+ The ideal candidate is an analytical problem solver skilled at working with large data sets, demonstrates a collaborative and customer-centric approach (proactive and responsive to business needs), and possesses strong written and verbal communication abilities. Additionally, the candidate should have a passion for continuous learning and driving innovation to unlock new business opportunities.
**Responsibilities :**
+ Design, develop and refine AI-generated text prompts for various applications
+ Collaborate with content creators, product teams and data scientists to ensure prompt alignment with company goals and user needs
+ Monitor and analyze prompt performance to identify areas for improvement
+ Optimize AI prompt generation process to enhance overall system performance
+ Stay up-to-date on the latest advancements in AI, natural language processing and machine learning
+ Provide support to teams in understanding prompt engineering best practices
**Required Qualifications :**
+ Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field
+ 1 Year of Experience with prompt engineering for large language models (LLMs) including Gemini, GPT, Llama, and Claude is preferred
+ Comprehensive understanding of Artificial Intelligence, Machine Learning, and generative AI platforms
+ Knowledge of Data Transformation tools - R/Python/ SQL/DBT/Cloud solutions ( GCP/Snowflake )
+ Working knowledge of visualization tools like SIgma,Tableau, DOMO, Data studio,
+ Ability to Read , Analyze and Visualize data
+ Effective Verbal & Written Communication for Business engagement
**Preferred Qualifications:**
+ Excellent problem-solving and analytical skills
+ Ability to collaborate effectively with cross-functional teams
+ Working knowledge of consumer packaged goods industry
+ Understanding of Colgate's processes, and tools supporting analytics (for internal candidates)
+ Willingness and ability to experiment with new tools and techniques
+ Good facilitation and project management skills
**Our Commitment to Inclusion**
Our journey begins with our people-developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.
**Equal Opportunity Employer**
Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.
Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form ( should you require accommodation.
#LI-Hybrid

**ABOUT AMGEN**
Amgen harnesses the best of biology and technology to fight the world's toughest diseases, and make people's lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what's known today.
**ABOUT THE ROLE**
**Role Description:**
The Director for Data Architecture and Solutions will lead Amgen's enterprise data architecture and solutions strategy, overseeing the design, integration, and deployment of scalable, secure, and future-ready data systems. This leader will define the architectural vision and guide a high-performing team of architects and technical experts to implement data and analytics solutions that drive business value and innovation.
This role demands a strong blend of business acumen, deep technical expertise, and strategic thinking to align data capabilities with the company's mission and growth. The Director will also serve as a key liaison with executive leadership, influencing technology investment and enterprise data direction
.
**Roles & Responsibilities:**
+ Develop and own the enterprise data architecture and solutions roadmap, aligned with Amgen's business strategy and digital transformation goals.
+ Provide executive leadership and oversight of data architecture initiatives across business domains (R&D, Commercial, Manufacturing, etc.).
+ Lead and grow a high-impact team of data and solution architects. Coach, mentor, and foster innovation and continuous improvement in the team.
+ Design and promote modern data architectures (data mesh, data fabric, lakehouse etc.) across hybrid cloud environments and enable for AI readiness.
+ Collaborate with stakeholders to define solution blueprints, integrating business requirements with technical strategy to drive value.
+ Drive enterprise-wide adoption of data modeling, metadata management, and data lineage standards.
+ Ensure solutions meet enterprise-grade requirements for security, performance, scalability, compliance, and data governance.
+ Partner closely with Data Engineering, Analytics, AI/ML, and IT Security teams to operationalize data solutions that enable advanced analytics and decision-making.
+ Champion innovation and continuous evolution of Amgen's data and analytics landscape through new technologies and industry best practices.
+ Communicate architectural strategy and project outcomes to executive leadership and other non-technical stakeholders.
**Functional Skills:**
**Must-Have Skills:**
+ 10+ years of experience in data architecture or solution architecture leadership roles, including experience at the enterprise level.
+ Proven experience leading architecture strategy and delivery in the life sciences or pharmaceutical industry.
+ Expertise in cloud platforms (AWS, Azure, or GCP) and modern data technologies (data lakes, APIs, ETL/ELT frameworks).
+ Strong understanding of data governance, compliance (e.g., HIPAA, GxP), and data privacy best practices.
+ Demonstrated success managing cross-functional, global teams and large-scale data programs.
+ Experience with enterprise architecture frameworks (TOGAF, Zachman, etc.).
+ Proven leadership skills with a track record of managing and mentoring high-performing data architecture teams.
**Good-to-Have Skills:**
+ Master's or doctorate in Computer Science, Engineering, or related field.
+ Certifications in cloud architecture (AWS, GCP, Azure).
+ Experience integrating AI/ML solutions into enterprise Data Achitecture.
+ Familiarity with DevOps, CI/CD pipelines, and Infrastructure as Code (Terraform, CloudFormation).
+ Scaled Agile or similar methodology experience.
**Leadership and Communication Skills:**
+ Strategic thinker with the ability to influence at the executive level.
+ Strong executive presence with excellent communication and storytelling skills.
+ Ability to lead in a matrixed, global environment with multiple stakeholders.
+ Highly collaborative, proactive, and business-oriented mindset.
+ Strong organizational and prioritization skills to manage complex initiatives.
+ High degree of initiative and self-motivation.
+ Ability to manage multiple priorities successfully.
**Basic Qualifications:**
+ Doctorate degree and 2 years of Information Systems experience, or
+ Master's degree and 6 years of Information Systems experience, or
+ Bachelor's degree and 8 years of Information Systems experience, or
+ Associates degree and 10 years of Information Systems experience, or
+ 4 years of managerial experience directly managing people and leadership experience leading teams, projects, or programs.

Relocation Assistance Offered Within Country
Job Number # - Mumbai, Maharashtra, India

Who We Are

Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specialising in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!

Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.
 

Title: Sr. Analyst, Data Architecture 

Brief introduction - Role Summary/Purpose :

• The candidate will collaborate with Colgate Business teams and CBS Analytics to identify and develop high-impact use cases utilizing Prompt Engineering. 
• This position requires a strong foundation in Artificial Intelligence, Machine Learning, and Generative AI. 
• The ideal candidate is an analytical problem solver skilled at working with large data sets, demonstrates a collaborative and customer-centric approach (proactive and responsive to business needs), and possesses strong written and verbal communication abilities. Additionally, the candidate should have a passion for continuous learning and driving innovation to unlock new business opportunities.

Responsibilities :

• Design, develop and refine AI-generated text prompts for various applications

• Collaborate with content creators, product teams and data scientists to ensure prompt alignment with company goals and user needs

• Monitor and analyze prompt performance to identify areas for improvement

• Optimize AI prompt generation process to enhance overall system performance

• Stay up-to-date on the latest advancements in AI, natural language processing and machine learning

• Provide support to teams in understanding prompt engineering best practices

Required  Qualifications :

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field

• 1 Year of Experience with prompt engineering for large language models (LLMs) including Gemini, GPT, Llama, and Claude is preferred

• Comprehensive understanding of Artificial Intelligence, Machine Learning, and generative AI platforms

• Knowledge of Data Transformation tools - R/Python/ SQL/DBT/Cloud solutions ( GCP/Snowflake )

• Working knowledge of visualization tools like SIgma,Tableau, DOMO, Data studio,

• Ability to Read , Analyze and Visualize data 

• Effective Verbal & Written Communication for Business engagement

Preferred Qualifications:

• Excellent problem-solving and analytical skills

• Ability to collaborate effectively with cross-functional teams

• Working knowledge of consumer packaged goods industry

• Understanding of Colgate’s processes, and tools supporting analytics (for internal candidates)

• Willingness and ability to experiment with new tools and techniques 

• Good facilitation and project management skills

Our Commitment to Inclusion
Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives  to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.

Equal Opportunity Employer
Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.

Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.

#LI-Hybrid

About KPMG in India

KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.

KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.
Data Governance

Equal employment opportunity information

KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.
/ / Post Graduate

Position Overview  This role is responsible for defining and delivering ZURU’s next-generation data architecture—built for global scalability, real-time analytics, and AI enablement. You will lead the unification of fragmented data systems into a cohesive, cloud-native platform that supports advanced business intelligence and decision-making.Sitting at the intersection of data strategy, engineering, and commercial enablement, this role demands both deep technical acumen and strong cross-functional influence. You will drive the vision and implementation of robust data infrastructure, champion governance standards, and embed a culture of data excellence across the organisation.Position Impact In the first six months, the Head of Data Architecture will gain deep understanding of ZURU’s operating model, technology stack, and data fragmentation challenges. You’ll conduct a comprehensive review of current architecture, identifying performance gaps, security concerns, and integration challenges across systems like SAP, Odoo, POS, and marketing platforms.By month twelve, you’ll have delivered a fully aligned architecture roadmap—implementing cloud-native infrastructure, data governance standards, and scalable models and pipelines to support AI and analytics. You will have stood up a Centre of Excellence for Data, formalised global data team structures, and established yourself as a trusted partner to senior leadership.

What are you Going to do?

Lead Global Data Architecture: Own the design, evolution, and delivery of ZURU’s enterprise data architecture across cloud and hybrid environments.

Consolidate Core Systems: Unify data sources across SAP, Odoo, POS, IoT, and media into a single analytical platform optimised for business value.

Build Scalable Infrastructure: Architect cloud-native solutions that support both batch and streaming data workflows using tools like Databricks, Kafka, and Snowflake.

Implement Governance Frameworks: Define and enforce enterprise-wide data standards for access control, privacy, quality, security, and lineage.

Enable Metadata & Cataloguing: Deploy metadata management and cataloguing tools to enhance data discoverability and self-service analytics.

Operationalise AI/ML Pipelines: Lead data architecture that supports AI/ML initiatives, including demand forecasting, pricing models, and personalisation.

Partner Across Functions: Translate business needs into data architecture solutions by collaborating with leaders in Marketing, Finance, Supply Chain, R&D, and Technology.

Optimize Cloud Cost & Performance:  Roll out compute and storage systems that balance cost efficiency, performance, and observability across platforms.

Establish Data Leadership: Build and mentor a high-performing data team across India and NZ, and drive alignment across engineering, analytics, and governance.

Vendor and Tool Strategy: Evaluate external tools and partners to ensure the data ecosystem is future-ready, scalable, and cost-effective.

What are we Looking for?

8+ years of experience in data architecture, with 3+ years in a senior or leadership role across cloud or hybrid environments

Proven ability to design and scale large data platforms supporting analytics, real-time reporting, and AI/ML use cases

Hands-on expertise with ingestion, transformation, and orchestration pipelines ( Kafka, Airflow, DBT, Fivetran)

Strong knowledge of ERP data models, especially SAP and Odoo

Experience with data governance, compliance (GDPR/CCPA) , metadata cataloguing, and security practices

Familiarity with distributed systems and streaming frameworks like Spark or Flink

Strong stakeholder management and communication skills, with the ability to influence both technical and business teams

Experience building and leading cross-regional data teams

Tools & Technologies

Cloud Platforms: AWS (S3, EMR, Kinesis, Glue), Azure (Synapse, ADLS), GCP

Big Data: Hadoop, Apache Spark, Apache Flink

Streaming: Kafka, Kinesis, Pub/Sub

Orchestration: Airflow, Prefect, Dagster, DBT

Warehousing: Snowflake, Redshift, BigQuery, Databricks Delta

NoSQL: Cassandra, DynamoDB, HBase, Redis

Query Engines: Presto/Trino, Athena

IaC & CI/CD: Terraform, GitLab Actions

Monitoring: Prometheus, Grafana, ELK, OpenTelemetry

Security/Governance: IAM, TLS, KMS, Amundsen, DataHub, Collibra, DBT for lineage

 What do we Offer?   Competitive compensation ⌛️ 5 Working Days with Flexible Working Hours

You deserve to do what you love, and love what you do – a career that works as hard for you as you do. At Fiserv, we are more than 40,000 #FiservProud innovators delivering superior value for our clients through leading technology, targeted innovation and excellence in everything we do. You have choices – if you strive to be a part of a team driven to create with purpose, now is your chance to Find your Forward with Fiserv.

Responsibilities

Requisition ID R- Date posted 09/05/2025 End Date 09/15/2025 City Pune State/Region Maharashtra Country India Additional Locations Noida, Uttar Pradesh Location Type Onsite

Calling all innovators – find your future at Fiserv.

We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv.

Job Title

Tech Lead, Data Architecture

What Does a great Data Architecture do at Fiserv?

We are seeking a seasoned Data Architect with extensive experience in data modeling and architecting data solutions, particularly with Snowflake. The ideal candidate will have 8-12 years of hands-on experience in designing, implementing, and optimizing data architectures to meet the evolving needs of our organization. As a Data Architect, you will play a pivotal role in ensuring the robustness, scalability, and efficiency of our data systems.

What you will do:

Data Architecture Design: Develop, optimize, and oversee conceptual and logical data systems, ensuring they meet both current and future business requirements.

Data Modeling: Create and maintain data models using Snowflake, ensuring data integrity, performance, and security.

Solution Architecture: Design and implement end-to-end data solutions, including data ingestion, transformation, storage, and access.

Stakeholder Collaboration: Work closely with business stakeholders, data scientists, and engineers to understand data requirements and translate them into technical specifications.

Performance Optimization: Monitor and improve data system performance, addressing any issues related to scalability, efficiency, and data quality.

Governance and Compliance: Ensure data architectures comply with data governance policies, standards, and industry regulations.

Technology Evaluation: Stay current with emerging data technologies and assess their potential impact and value to the organization.

Mentorship and Leadership: Provide technical guidance and mentorship to junior data architects and engineers, fostering a culture of continuous learning and improvement.

What you will need to have:

8-12 Years of Experience in data architecture and data modeling in Snowflake.

Proficiency in Snowflake data warehousing platform.

Strong understanding of data modeling concepts, including normalization, denormalization, star schema, and snowflake schema.

Experience with ETL/ELT processes and tools.

Familiarity with data governance and data security best practices.

Knowledge of SQL and performance tuning for large-scale data systems.

Experience with cloud platforms (AWS, Azure, or GCP) and related data services.

Excellent problem-solving and analytical skills.

Strong communication and interpersonal skills, with the ability to translate technical concepts for non-technical stakeholders.

Demonstrated ability to lead and mentor technical teams.

What would be nice to have:

Education: Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

Certifications: Snowflake certifications or other relevant industry certifications.

Industry Experience: Experience in Finance/Cards/Payments industry

Apply using your legal name

Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).

Our commitment to Diversity and Inclusion:

Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law. 

Note to agencies:

Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.

Warning about fake job posts:

Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.

Product Owner Data Architecture

About the Role

Location India Karnataka Bangalore Company Siemens Gamesa Renewable Power Private Limited Organization Wind Power Business Unit Technology Full / Part time Full-time Experience Level Mid-level Professional

A Snapshot of Your Day

Lead all aspects of Data Architecture at Siemens Energy. Engage with teams to maintain high data standards.

How You’ll Make an Impact

Lead the maintenance, development, and documentation of the data architecture.

Manage and optimize the finance reporting tool, ensuring accuracy and efficiency.

Collaborate with multicultural teams to coordinate activities and achieve business objectives.

Coordinate roadmap activities and participate in the development work to ensure timely delivery.

Implement standard methodologies in data management and portfolio management.

Develop and maintain tool interfaces and build new applications from the database.

What You Bring

Outstanding financial knowledge and experience, with a strong understanding of portfolio management.

Senior-level expertise in Power Query and DAX or equivalent experience.

Advanced Excel skills, including VBA coding.

Strong frontend development skills and SQL knowledge.

Proven ability to understand and manage data flows.

Strong analytical, problem-solving, and decision-making skills.

You deserve to do what you love, and love what you do – a career that works as hard for you as you do. At Fiserv, we are more than 40,000 #FiservProud innovators delivering superior value for our clients through leading technology, targeted innovation and excellence in everything we do. You have choices – if you strive to be a part of a team driven to create with purpose, now is your chance to Find your Forward with Fiserv.

Responsibilities

Requisition ID R- Date posted 09/05/2025 End Date 09/15/2025 City Pune State/Region Maharashtra Country India Additional Locations Noida, Uttar Pradesh Location Type Onsite

Calling all innovators – find your future at Fiserv.

We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv.

Job Title

Tech Lead, Data Architecture

What Does a great Data Architecture do at Fiserv?

We are seeking a seasoned Data Architect with extensive experience in data modeling and architecting data solutions, particularly with Snowflake. The ideal candidate will have 8-12 years of hands-on experience in designing, implementing, and optimizing data architectures to meet the evolving needs of our organization. As a Data Architect, you will play a pivotal role in ensuring the robustness, scalability, and efficiency of our data systems.

What you will do:

Data Architecture Design: Develop, optimize, and oversee conceptual and logical data systems, ensuring they meet both current and future business requirements.

Data Modeling: Create and maintain data models using Snowflake, ensuring data integrity, performance, and security.

Solution Architecture: Design and implement end-to-end data solutions, including data ingestion, transformation, storage, and access.

Stakeholder Collaboration: Work closely with business stakeholders, data scientists, and engineers to understand data requirements and translate them into technical specifications.

Performance Optimization: Monitor and improve data system performance, addressing any issues related to scalability, efficiency, and data quality.

Governance and Compliance: Ensure data architectures comply with data governance policies, standards, and industry regulations.

Technology Evaluation: Stay current with emerging data technologies and assess their potential impact and value to the organization.

Mentorship and Leadership: Provide technical guidance and mentorship to junior data architects and engineers, fostering a culture of continuous learning and improvement.

What you will need to have:

8-12 Years of Experience in data architecture and data modeling in Snowflake.

Proficiency in Snowflake data warehousing platform.

Strong understanding of data modeling concepts, including normalization, denormalization, star schema, and snowflake schema.

Experience with ETL/ELT processes and tools.

Familiarity with data governance and data security best practices.

Knowledge of SQL and performance tuning for large-scale data systems.

Experience with cloud platforms (AWS, Azure, or GCP) and related data services.

Excellent problem-solving and analytical skills.

Strong communication and interpersonal skills, with the ability to translate technical concepts for non-technical stakeholders.

Demonstrated ability to lead and mentor technical teams.

What would be nice to have:

Education: Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

Certifications: Snowflake certifications or other relevant industry certifications.

Industry Experience: Experience in Finance/Cards/Payments industry

Apply using your legal name

Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).

Our commitment to Diversity and Inclusion:

Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law. 

Note to agencies:

Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.

Warning about fake job posts:

Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.