We are
At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 16,400+, and has 60 offices in 20 countries within key global markets.
Overview:
We are seeking an experienced Data Product Manager with a robust background in Data Engineering and a deep understanding of banking and financial services data. The ideal candidate will play a pivotal role in defining, developing, and managing data products and solutions, working collaboratively with Data Engineers, Data Analysts, Data Scientists, and Business Stakeholders. The candidate will leverage their technical expertise to ensure our data offerings are robust, scalable, and aligned with business needs and compliance standards.
Key Responsibilities:
Product Ownership & Strategy:
Define and prioritize data products, features, and roadmaps aligned with banking operations and analytics requirements.
Develop a comprehensive understanding of business needs related to data, translating these into actionable product requirements.
Collaborate with stakeholders to gather, refine, and document data requirements, ensuring alignment with organizational goals.
Cross-Functional Collaboration :
Work closely with Data Engineers to design, develop, and enhance scalable data pipelines, ensuring they meet quality and performance standards.
Coordinate with Data Analysts and Data Scientists to facilitate data access, usability, and analytics.
Act as a liaison between technical teams and business units to facilitate clear communication and understanding.
Data Governance & Compliance:
Ensure all data products are developed and maintained in compliance with banking industry data security, privacy, and governance standards.
Define and implement policies for data quality, integrity, and security.
Data Lifecycle & Release Management:
Oversee the end-to-end lifecycle of data products, from development and testing to deployment and monitoring.
Manage release schedules, coordinate deployment activities, and ensure robust version control.
Implement processes for continuous improvement and automation of data workflows.
Technical Oversight & Knowledge:
Maintain strong understanding of Data Engineering processes, including data warehousing, ETL/ELT workflows, and cloud platforms like Snowflake, Azure, and Databricks.
Provide technical guidance and support to Data Engineers on best practices in data architecture, pipelines, and security standards.
Stay updated on latest industry trends, tools, and best practices, integrating them into the data product roadmap.
Performance Monitoring & Optimization:
Monitor data product performance, troubleshoot issues, and collaborate with engineering teams for tuning and optimization.
Collect feedback from users to iterate and improve data solutions.
Documentation & Training:
Maintain clear documentation of data products, architecture, and processes.
Conduct training sessions or workshops to facilitate effective utilization of data assets among stakeholders.
Required Skills & Experience:
Proven experience as a Data Product Manager or similar role with a strong technical background in Data Engineering.
Deep understanding of Snowflake, Python, Pyspark, SQL, and cloud data platforms.
Extensive experience with data warehousing, ETL/ELT processes, and data pipeline management.
Strong knowledge of banking and financial industry data, including compliance, security, and privacy standards.
Able to bridge the technical and business worlds, translating complex data concepts into understandable solutions.
Familiar with release management, CI/CD practices, and version control.
Excellent communication, stakeholder management, and collaboration skills.
Experience working with Data Engineers, Data Analysts, and Business Stakeholders in a fast-paced environment.
Preferred Qualifications:
Experience working with Azure, Databricks, and related cloud services.
Knowledge of streaming technologies like Apache Kafka.
Familiarity with DevOps practices, CI/CD pipelines, and Agile methodologies.
Prior experience in the banking or financial services industries.
We offer:
A highly competitive compensation and benefits package.
A multinational organization with 60 offices in 20 countries and the possibility to work abroad.
10 days of paid annual leave (plus sick leave and national holidays).
Maternity & paternity leave plans.
A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).
Retirement savings plans.
A higher education certification policy.
Commuter benefits (varies by region).
Extensive training opportunities, focused on skills, substantive knowledge, and personal development.
On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.
Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
Cutting edge projects at the world s leading tier-one banks, financial institutions and insurance firms.
A flat and approachable organization.
A truly diverse, fun-loving, and global work culture.
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