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Data Strategy Lead
1 month ago
Role: Data Strategy Lead
Location: Charlotte, NC / Jacksonville, FL/ Richmond, VA
Job Summary:
The Data Strategy Lead will define and implement the data framework, focusing on aligning business objectives with data-driven insights. This role will influence business owners and sponsors by demonstrating the value of Predictive data models and analytics, comprehensive data management practices and Regulatory & Compliance . The ideal candidate will possess strong business acumen ( Merchant, Climate, FRR/NFRR), a deep understanding of data strategy, and the ability to communicate effectively with business leaders.
Key Responsibilities:
- Data Strategy and Framework Development:
- Define and implement a robust data strategy and framework.
- Develop canonical conceptual data models to standardize data management across the organization.
- Ensure data frameworks support business goals and enable data-driven decision-making.
- Predictive Data Models & Analytics:
- Showcase the value proposition of predictive modeling for optimizing operations and gaining a competitive edge.
- Develop sophisticated algorithms and models for fraud detection, risk assessment, and customer segmentation.
- Implement predictive analytics to provide actionable insights for various business units.
- Data Modeling and Data Management:
- Strengthen EISA's data infrastructure to facilitate efficient data modeling and management.
- Standardize data management practices to reduce development time and costs.
- Mitigate risks associated with data governance and ensure robust data quality controls.
- Streamline data collection, processing, and utilization related to climate conditions and merchant transactions.
- Regulatory & Compliance:
- FRR and Non FRR
- Ensure adherence to relevant regulations and standards, focusing on climate and sustainability.
- Refine data-driven strategies to comply with evolving ESG regulations.
- Stakeholder Engagement and Influence:
- Position as a strategic partner to address critical business challenges across different departments.
- Secure funding and resources by demonstrating the potential ROI of data modeling capabilities.
- Communicate effectively with business leaders, focusing on business and data rather than technology.
- Fraud Detection:
- Develop and deploy models to identify and prevent fraudulent transactions.
- Risk Assessment:
- Evaluate creditworthiness for loan applications and prioritize potential risks.
- Minimize financial losses due to defaults or fraud and enhance regulatory compliance.
- Customer Segmentation:
- Identify customer groups with distinct needs and preferences.
- Develop targeted marketing campaigns and product offerings to improve customer experience and satisfaction.
- Provide insights to business and sales teams to enable a better customer experience.
QUALIFICATIONS:
- Bachelors or Masters in computer science, system analysis, Information Systems or related field or equivalent work experience
- 7-10+ years of Experience with Data Strategy, Data Architecture, Data Engineering & Data Management
- Experience in Maintaining and Developing Modern Data Architecture (i.e., Data Lake, Data Lakehouse, Data Mesh/Products, Data Market Place)
- Strong process/systems analysis, design, and documentation
- Strong Understanding of Risk Management and Data Management Principles
- Ability to monitor tight deadlines and adapt to unexpected requirement changes.
- Self-motivated with an ability to work on one’s own with a strong sense of ownership and accountability in high-pressure situations.
DESIRED QUALIFICATIONS:
- Familiarity with one of the following areas – Trading, Consumer Banking, Wealth Management, Transaction Banking
- Big Data Architecture, Cloud Data Platforms Architecture (Azure, Databricks, Snowflake), In-house Big Data Platforms (Hadoop, Teradata, Exadata)
- Data Virtualization Tools (i.e., Trino, Dremio)
- Data Sourcing Movement Tools (Real Time and Batch)
- Understanding or experience of programming in SQL, C/C++, Java, Python
We can offer you
- A highly competitive compensation and benefits package
- A multinational organization with 55 offices in 20 countries and the possibility to work abroad
- Laptop and a mobile phone
- 10 days of paid annual leave (plus national holidays)
- Maternity & Paternity leave plans
- A comprehensive insurance plan including: medical, dental, vision, life insurance, and long-/short-term disability
- RRSP with employer’s contribution
- A higher education certification policy
- Comprehensive Relocation Expense Coverage
- Commuter benefits
- 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
SYNECHRON’S DIVERSITY & INCLUSION STATEMENT
Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law
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