Head Of Finance Data & Analytics

Functional Title

Head of Finance Data & Analytics

Locations Preference

Buffalo NY, Baltimore MD, Wilmington DE, New York City NY

About the Team

Our team is on a mission of unleashing the power of data to support decision making. Our team builds enduring data products, provides platforms to access & derive insights from data, enables confidence in decision making with appropriate data governance, delivers actionable insights through use of data science and activates value for the business by innovatively solving problems with data. We love translating data, insights, and anecdotes into action, we operate with a sense of urgency, have a startup mentality, build data analytic products at scale, and innovate solutions on behalf of our customers. We work hard but value the need for downtime to unplug and recharge. We embrace our differences and view them as a key driver of innovation. We are Data@M&T

About the Role

As the Head of Data & Analytics for the Finance domain, you will be a part of a team that is obsessed with delivering results for customers, driving initiatives that make an impact to our communities while allowing you to build your skills and shape the direction of the rapidly growing team

You will lead a cross-functional, and matrixed team accountable for the strategic direction and execution of a data, analytics, and insights strategy. You will translate business needs into focused deliverables by identifying business requirements, data sources, acquisition of data, undertaking robust data analysis and reporting translating facts into business insights

You will leverage large internal data sets and external data/signals to understand customer trends and market opportunities for the business. You will surface insights on the productivity for our sales practice and products. You will create metrics and measure success of programs

You will guide team in the development and delivery of meaningful data science capability solutions. You will build automated mechanisms for internal planning and reporting. Leverage data visualization and storytelling to build and manage dashboards and data reports for leadership that optimally communicate insights, findings, and recommendations

You build and leverage relationships across the organization enabling you to invent new ways of diving deep with data and use of advanced analytics and AI ML to drive specific business outcomes that will help us serve our customers. You will measure effectiveness of and incrementality of utilization of high potential data sources, knowledge, and technology assets.

You will have the opportunity to contribute to the culture and direction of the team. Your manager will support your career advancement and help you explore ways to develop. You’ll have the opportunity to grow your scope of influence naturally as we scale and will have the opportunity to help hire & develop other leaders along the way

Basic Qualification

• Bachelor's degree in quantitative/relevant field such as Statistics, Operational Research, Computer Science, Economics, Mathematics, Data Science
• Minimum of 10+ years of analytical experience in applying solutions to business problems in relevant fields such as analytics, business consulting, or other related functions
• Eloquent communicator able to translate data and technical concepts for a business audience as well to a technical audience. Proven track record in translating analytics output to significant recommendations, and delivery.
• Demonstrated ability to innovate solutions that tackle business problems. Good discernment to orient data analysis to business needs of clients
• Strong business acumen with proven ability to solve business problems through industry-leading data analytics/science/engineering methodologies in manipulating and analyzing large high dimensionality datasets, defining recommended actions
• Experienced knowledge of databases, hybrid cloud and engineering concepts with hands on experience with one or more data analytics/data science tools such as SAS/Hive/R/SQL/Python
• Team oriented, collaborative, respectful, and flexible style, with the ability to tailor results to varied audiences
• Exhibit intellectual curiosity and strive to continually learn

Preferred Qualification

• Advanced degree in quantitative/relevant field such as Statistics, Operational Research, Computer Science, Economics, Mathematics, Data Science
• Knowledge of big data engineering stack including Hadoop, Spark, Kafka and other related components. Experience working with AWS, GCP, Azure and Hadoop
• Experience or experience with data mining and statistical modeling (e.g., regression modeling, clustering techniques, decision trees, etc.) is strongly preferred
• Previous experience with a consulting firm delivery consulting services to financial services clients is a plus
• Proven experience in planning, organizing, and leading multiple multi-functional projects with diverse cross-functional partners

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