Engineer - Data Governance (7-16 yrs)

Urgent requirement for Data Governance for Chennai and Bangalore Location.

Experience : 7-16 Yrs

Job Location : Bangalore/Chennai

Job Description :

Ideal candidate would have expertise in one or more data capabilities (Data Governance, Data Analytics, Data Architecture & Modelling, Business Analysis) and functional knowledge of Finance & Treasury processes (Capital management, financial accounting, Liquidity management, group reporting), banking products (Financial markets, Trade Finance etc).

Other requirements are as follows :

- 6+ years of work experience pertaining to finance/risk/business projects in financial services.

- Domain knowledge in banking products or any of finance processes - Capital/Liquidity management, Ledger management.

- Strong understanding of data governance principles and ability to define these standards with respect to Critical data elements.

- Strong oral, written communication, and presentation skills.

- Strategic mindset with strong problem solving and superior ability to manage, manipulate and analyse raw data, draw conclusions, and develop actionable recommendations.

- Advanced SQL skills or Python or any other Data analytics skills.

- Strong influencing skills to ensure that delivery teams outside of direct management deliver as planned.

- Ability to manage a diverse and challenging stakeholder community.

Key Responsibilities :

- Understand & review the data requirements of downstream processes to minimize data adjustments and optimize use of resources.

- Identify, analyse, and validate relevant optimal data sources for critical data elements ensuring availability of high-quality data.

- Identify new CDEs (critical data elements) and drive discussions pertaining to ownership and business process for new data elements.

- Apply the data management best practices and data governance principles to source data in a right manner with appropriately defined controls and governance including data handshakes.

- Work with upstream data owners, systems, and technology partners to define the delivery mechanism to meet data requirements (in terms of completeness, reliability, suitability, and accuracy) both tactically (mid-term) and strategically (long-term).

- Work with business stakeholders and delivery partners to identify data gaps / data quality issues leading to manual interventions, quantify business impact, and perform root cause analysis.

- Influence senior stakeholders to support change management activities required for successful implementation of data solutions and data remediation programs.

- Escalate formally problematic DQ issues with the upstream to ensure adequate management oversight and remediation.

- Develop training and awareness programme around correct Data Sourcing across all Finance and Treasury teams.