Senior Manager Data Analytics and Governance

Ashkan Kiani

[Los Angeles, CA] [*****.****@*****.***] [ 818-***-**** & 647-***-****] [LinkedIn Profile]

Professional Summary

Ashkan is a Senior Manager at Deloitte with a focus in the Financial Services Industry. With over 11 years of experience in data and analytics, he has expertise delivering Data Governance & Data Management (including compliance with BCBS-239 requirements on Data Quality and Aggregation), Data and Technology Strategy, Advanced Analytics (incl. Machine Learning), AI Governance, Risk Management, Data Mapping & Migration, Advanced Predictive modeling, Credit Risk and Trade Surveillance.

Leveraging his technical background and past 5+ years of advisory experience and financial services expertise, Ashkan serves as a bridge between business and technology teams to spearhead the execution of high-quality work on complex, large-scale transformation projects that facilitate the necessary changes for financial service institutions in an evolving regulatory environment.

Core Competencies

Data Governance & Data Management

Data Strategy & Target Operating Model (TOM)

Data Risk Aggregation and Management and Business Intelligence

Advanced Analytics, Machine Learning, and AI (Gen AI Agents & Reasoning Models)

Risk Management and Regulatory Compliance (BCBS-239, SR11-7, GDPR, CCAR, Basel III, etc.)

Leadership, Executive Engagement & Stakeholder Management, Project & People Management

Professional Experience

Senior Manager – Regulatory & Risk Data Analytics & Governance Deloitte [2020 – Present]

Lead the develop and implementation of end-to-end data governance initiatives, data strategy and TOM, and data risk management strategies and policy definition for multiple Tier 1 banks, ensuring alignment with regulatory requirements and best practices.

Act as a liaison between business and technology stakeholders, fostering communication and collaboration by leveraging technical background with a business value mindset.

Play a key role in expansion of the Reg/Risk Tech & Data Enablement practice within Deloitte by serving as portfolio’s talent champion and contribution to team capacity expansions by 10% YoY (FY23-FY25).

Professor – AI Development & Machine Learning Durham College [2018 – 2020]

Taught Artificial Intelligence (AI) Development, Machine Learning, and Python Programming for business management and IT students, equipping them with industry-relevant skills.

Machine Learning Engineer Researcher, TA, Instructor Ontario Tech. University [2014 – 2020]

Developed anomaly detection algorithms for financial transactions monitoring using AI/ML techniques.

Conducted research on classification, clustering, deep learning, and recommender engines.

Applied analytical methodologies to solve non-convex optimization problems in signal processing.

Technical Skills & Tools

Python (+ML libraries), SQL, Tableau / Power BI, Collibra, Databricks

Nasdaq SMART Trade Surveillance, Archer (eGRC), MATLAB, C++

PowerPoint for crafting compelling data-driven narratives and executive storytelling

Projects Highlights & Impact

Led multiple end-to-end Data Governance & Data Management transformation and remediation initiatives (including critical data element identification methodology, CDE identification, Data Lineage and Profiling, Data Quality Assessment, DQ metrics and KRI Reporting, and Issue Management) for both 1st and 2nd Lines of Defense (LOD) of Tier 1 banks (including Personal & Business Banking, Commercial Banking, Wealth Management, Risk Management, and Compliance).

Performed end-to-end Data Control and RESL Reporting Assessment as a part of a large Remediation Program for a Tier 1 Bank, ensuring BCBS-239 compliance.

Developed Data Strategy, Roadmaps, and Target Operating Models (TOM) for multiple functions of Tier 1 Banks including Enterprise Data Office.

Led a complex eGRC Data Migration for a tier 1 Bank’s transitioning issues from legacy systems to an Archer, ensuring accurate data mapping & business requirements, seamless ETL transformation, data validation over regulatory & control libraries, and their risk ratings for the business unit taxonomy.

Reviewed Differential Premium Bylaw’s scoring of the country’s Depositor Insurer and proposed a data-driven solution for model sensitivity improvements (predictive credit risk modeling) impacting premium calculation for approximately ~$1 trillion worth of deposits held within its member FIs.

Conducted advanced analytics for Financial Products Cost of Borrowing & Fees Testing, ensuring regulatory compliance (for credit cards, mortgages, and other products).

Education & Certifications

Master’s in Electrical & Computer Engineering - University of Ontario Institute of Tech. [2014-2016]

Bachelor’s in Electrical & Computer Engineering - Isfahan University of Technology [2008-2013]

Services

Board of Director Member – Cinema Tower a 400 units Private Residence in Toronto [2023-Present]

Mentor – Career Coach of 10 practitioners (from Analyst to Manager level) at Deloitte [2022-Present]

Vice-President of Teacher & Research Assistants’ Affairs, Public Service Alliance of Canada [2015-2017]

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