Senior Manager Data Strategy & Transformation

As The Senior Manager, Data Strategy & Transformation, you will be at the center of building on the Payments CoE mission! You will be joining the team at a fascinating and critical time in which the team is kicking off a multi-year data strategy & transformation initiative playing a key enabling and thought partnership role in driving business growth, productivity, and operational excellence for the broader organization. You will have the opportunity to be part of a key strategic priority for the NAS business. This exciting role will offer the opportunity to drive the strategy to better process, manage, store, control, govern and monetize our critical data assets.

The incumbent will play an influential role collaborating closely with key stakeholders like NAS Product, Envisioning, Technology, GSG (Global Services Group), Finance, CFR (Credit & Fraud Risk) etc. to understand the current landscape of data coverage, opportunities and create a roadmap. They will provide consultative support to peers and leaders in NAS, through strategic analytics that highlight trends, risks and opportunities and actionable insights., * Supporting the development and execution of the Multi-Rail Data Strategy vision, strategy, and roadmap

• Partnership and collaboration with peers on Product, Envisioning, Technology, Data Governance, Analytics, Delivery teams to find synergies, drive optimization and standardization

• Participate in external and internal research and enablement of next gen AI/ML driven solutions which make data analysis, discovery and processing more efficient and optimized

• Thought leadership on proposing and driving both quick wins and transformative uplift to Multi-Rail Data Architecture

• Build a comprehensive, scalable and nimble data distribution strategy to cater unique needs of all downstream applications

• Become an expert on MR data and working with the Data Governance Office to ensure that relevant data is identified as needing to be activated, review/propose data that is necessary for processing vs. servicing and make recommendations on accessibility of that data

• Making sure we are compliant as per enterprise and industry standards for internal and external data sharing principles

• Owning key stakeholder communications on progress of committed initiatives

• Owning data discovery by forming hypotheses, defining objectives and key results, and recommending options that best balance cost-benefit to achieve defined outcomes

• Defining MVPs to meet strategic business outcomes while balancing innovation and efficiency

• Gather and share content expertise on/across various Payment industry data standards and linkages, provide content knowledge and consultation with regional partners regarding new product and system capabilities

• Superior analytical skills – ability to analyze/understand large data sets, synthesize and draw out relevant insights

• Aptitude for building forward looking strategy with the ability to operate fluently across data quality, management, analytics, governance, design and engineering

• Strong presentation skills, particularly in creating executive summary decks for sharing strategies and progress to senior leaders

• Proven ability to direct and influence complex and matrixed planning environments and make space for the development of next gen solutions

• Extreme attention to detail and accuracy – strong sense of responsibility and accountability

• Ability to excel in moments of peak demand when skillful prioritization or delegation/escalation is required

• Excellent communication and collaboration skills. Able to simplify complex ideas, navigate cross-functional teams and build relationships, influence decisions, and deliver on shared objectives

• Demonstrated ability to analyze data and processes to identify creative solutions and drive incremental improvement

• Ability to self-start, carve opportunities out of ambiguity, and operate with a high degree of independence

• Extensive analytic or data management programming experience required (SQL, SAS, R or Python)

• Bachelor’s degree in a quantitative field e.g. Engineering, Statistics

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

• Competitive base salaries

• Bonus incentives

• Support for financial-well-being and retirement

• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)

• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need

• Generous paid parental leave policies (depending on your location)

• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)

• Free and confidential counseling support through our Healthy Minds program

• Career development and training opportunities