Data Product Manager Lead
This role offers a hybrid work schedule; offering the flexibility to work remotely two days a week, while providing the opportunity for in-person collaboration.
This position is available in either Buffalo, NY or Wilmington, DE Data Architecture LeadAbout the TeamOur team is on a mission unleashing the power of data supported decision making.
Our team builds enduring data products, provides platforms to access & derive data insights, enables confident decision making with appropriate data governance, delivers actionable insights through data science and activates business value 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.
Data ArchitectureM&T Business and its Enterprise Data and Analytics organization is undergoing multi-year transformation effort which includes enhancing current Data Architecture and data science capabilities and modernizing our technology stack to run these workloads on the Cloud platform.
Team works closely with Business users /stakeholders across different lines of business, products, functions to build data products to support Analytical and Operational Reporting, Data visualization, Dashboarding, search and Advanced analytics capabilities.
The team's mission is focused on converting data to actionable insights for our business partners who can utilize the same, to reduce administrative cost, increase revenues and improve the customer's experience.
We are looking to build out our data architecture organization with motivated and talented Data Architects who are interested in being a part of this transformation journey and who have relevant experience in one of more domains.
Large Enterprise Financial Services Data ArchitectureCloud Technology / Migration to CloudBuild Out of Data Architecture & Data Modeling CapabilitiesConsumer and Retail BusinessCommercial BankingDigitalMaster Data & Reference Data ManagementCustomer 360Finance and ProfitabilityRegulatory ReportingFraud, Compliance, AMLAs part of the team, you will be in involved in enhancing current capabilities in Corporate Data Lake/ Data Warehouse, Master Data and Reference data management platforms both in on-prem and on Cloud.
In this lead role, you will have an opportunity to design, implement, and maintain our cloud-based data architecture, with a specific focus on Snowflake.
The ideal candidate will have a strong background in cloud technologies, data modeling, and database management, along with hands-on experience working with Snowflake or other similar platforms.
About the RoleThe Data Architect Lead will coordinate and lead a team of Data Architects and Data Modelers, to develop data models and solutions for the design and implementation of large-scale data designs that will facilitate the build out of data products meeting the needs of consumers across various domains in the organization.
In this hands-on role, the Data Architect Lead will have the necessary technology design, communication, and leadership skills to independently manage highly visible and complex projects from start to finish.
Within the Data Architecture Team, develop and maintain documentation of the data architecture, data flow and data models of the data platforms for various audiences.
Additionally, provides direction on adoption of Cloud technologies (Snowflake) and industry best practices in the field of data warehouse architecture and modelling.
This position must bring a good balance between technical and soft skills as well as a strong understanding of data and data management.
Detailed job responsibilitiesData ArchitectureManage and develop enterprise data roadmaps and reference data architecture patterns.
Develop and implement data modeling best practices to ensure scalability, performance, and reliability.
Support design and develop scalable, high-performance data architectures on the Snowflake cloud data platform to meet the evolving business needs and data growth.
Develop and maintain documentation of the data architecture, data flow and data models of the data warehouse appropriate for various audiences.
Provide direction on adoption of Cloud technologies (Snowflake) and industry best practices in the field of data warehouse architecture and modelling.
Review and recommend improvements to data model designs with a focus on those areas influencing interoperability, and analytics.
Understand data strategy, drivers and needed capabilities (future and current state) and determine corresponding enterprise data systems and platforms to drive the organization's targeted outcomes.
Consult with delivery teams regarding the most critical or complex data architecture areas.
Provide consulting support to solution architects and ensure the initiative is aligned with overall enterprise data architecture.
Cultivate the data community to increase understanding and values of Data Architecture capabilities and practices.
ModelingMaintain logical and physical data models along with accurate metadata.
Updating and optimizing local and metadata models.
Work with the development team to create logical and physical data models and data flows.
Support new and existing development projects with data and process modeling activities.
Provide entity, logical and physical data models.
Implement data strategies and develop physical data models.
LeadershipKnowledge of all components of an enterprise technical architecture.
Collaborate with technology leaders and business leaders to implement strategic data management techniques to treat data products as an asset.
Develop strong relationships with all data product consumers and other data citizens that use the data to understand their needs.
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
Develop and lead a center of data architecture best practices and processes.
Be the evangelist of the data architecture practice.
Communicate and cultivate the business value of the data designs to relevant stakeholders, including business and technology leaders.
Define and measure meaningful business key performance indicators for the data documentation artifacts.
Ensure alignment and adherence to corporate, financial and technology standards (e.
g.
, architecture, compliance, security).
Where applicable, identify opportunities to monetize data design with the enterprise.
Assist leadership in setting and measuring objectives and key results (OKRs) and assign OKRs to direct reports.
Prioritize backlog for quarterly planning exercises.
CloudDesign and develop cloud-based data architecture solutions using Snowflake as the primary data platform.
Lead the implementation of Snowflake based data solutions, including data modeling, schema design, and data integration pipelines.
Optimize data storage, data retrieval, and query performance in Snowflake to ensure the efficient processing of large-scale datasets.
Data SupportEnsure consumers have the information and resources they need to use the data products (e.
g.
, access to data, interactive documentation to help them understand data operations, etc.
)Support the creation of data assets, which may include a data model, associated metamodel, common business vocabulary, ontologies, and taxonomies, which will then be used to guide solution development and achieve consistency of data assets across the enterprise.
Contribute to and communicate data management standards relating to the location, media type and cybersecurity requirements to facilitate efficient and secure management of all data elements.
Collaborate with data teams to establish appropriate data access management approaches (data access)Participate in governance activities and reviews.
Collect data against defined metrics and use metrics to determine opportunities to improve data systems performance.
Basic QualificationsBachelor's degree and a minimum of 7 years' related experience, or in lieu of a degree, a combined minimum of 11 years' higher education and/or work experience, including a minimum of 7 years' related experience.
Robust understanding of full-cycle product development within an Agile framework.
Proven experience overseeing all elements of the product development lifecycle, including developing and maintaining detailed project plans from discovery to delivery.
Identify and define business problems and translate them into actionable requirements and tasks.
Demonstrate analytical problem-solving skills.
Excellent written and verbal communications skills.
Effectively engage both technical and non-technical stakeholders and users.
Be able to work independently, anticipating and resolving problems.
Demonstrated experience working with data products.
Experience writing SQL, pulling, wrangling, and querying databases using data analytic tools.
Preferred QualificationsDeep understanding of the data analytics and data architecture discipline, processes, concepts, and best practices.
Deep knowledge and expertise in data architecture and data modeling with ERWIN Data Modeler or similar tools.
Experience developing conceptual data model to identify key business entities and visualize their relationships.
Experience working with teams to create logical and physical data models and data flows.
Strong experience on data modelling and analytics tools.
Strong data design, management, and maintenance experience.
Strong analytics and reporting experience.
Proven strategic planning capabilities.
Prior experience with data model design and development and implementing BI tools highly preferred.
Banking, Financial services and Fintech experience.
Domain knowledge with Azure (ADLS, APIs, DF, Synapse), Snowflake, Informatica, Databricks, Data Governance, Data Quality, and other data management tools.
Knowledge of all components of an enterprise technical architecture.
Excellent understanding of data Systems Development Life Cycle (SDLC), application development methodologies, cybersecurity, infrastructure, and network architecture.
Experience in at least two Information Technology solution development disciplines, including technical architecture, infrastructure, application development, cybersecurity, database management or Information Technology (IT) operations.
Minimum of 7 years' data architecture experience articulating and building tooling to support the development of data analytics products.
Knowledge of statistics, data science techniques and tools.
Excellent understanding of strategic, new, and emerging technology trends, and the practical application of existing, new and emerging technologies.
Strong interpersonal skills.
Excellent analytical skills like technical translator, abstraction, pattern recognition, logical and holistic thinking.
Excellent technical skills.
Understanding of management methods and processes (Waterfall, Agile), and capability of supporting all types of initiative teams by providing advice and guidance on opportunities, impact, and risks, taking account of technical and architectural debt.
Ability to connect across disparate parts of the organization and understand domain implications of enterprise data priorities.
Experience managing multiple complex projects simultaneously.
Excellent organizational skills, with ability to handle multiple and complex areas of responsibility.
Strong leadership skillsAbout M&TAt M&T Tech, we're a team of makers, doers, and builders, working to create the most advanced technology solutions in banking.
We're not your stereotypical suit and tie bankers:
we're an innovative team of leading tech experts, pushing boundaries, and taking risks.
We're building an agile team of the most skilled and creative workers to solve complex problems, architect solutions, write high-performance software, and chart our new path, all to make the lives of our customers, and the communities that we serve, better.
Join us and be part of something new as we build tomorrow's bank, today.
M&T Bank is a Top 20 US bank holding company and one of the best performing and financial stable regional banks in the country, we offer our technology employees a wide range of performance-based career development opportunities.
We have a strong commitment to our customers and the communities we serve, and we continue to grow with a focus on the future.
So, when looking to advance your career, look to M&T.
Grow with us.
Hiring Immediately.
We support our team members with generous benefits.
Competitive compensationHealth, welfare, and retirement benefits401(k) match at 5%Work-life balance and flexible work arrangementsStart with 25 days PTO plus 12 paid holidays#MTBTechHub #DataProduct #Product #Product Development #PO #ProductOwner #Agile #CSPO #Data #BacklogM&T Bank is committed to fair, competitive, and market-informed pay for our employees.
The pay range for this position is $115,703.
73 - $192,839.
55 Annual (USD).
The successful candidate's particular combination of knowledge, skills, and experience will inform their specific compensation.
Location:
Buffalo, New York, United States of AmericaSummaryLocation:
Buffalo, NYType:
Full time.
Estimated Salary: $20 to $28 per hour based on qualifications.
This position is available in either Buffalo, NY or Wilmington, DE Data Architecture LeadAbout the TeamOur team is on a mission unleashing the power of data supported decision making.
Our team builds enduring data products, provides platforms to access & derive data insights, enables confident decision making with appropriate data governance, delivers actionable insights through data science and activates business value 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.
Data ArchitectureM&T Business and its Enterprise Data and Analytics organization is undergoing multi-year transformation effort which includes enhancing current Data Architecture and data science capabilities and modernizing our technology stack to run these workloads on the Cloud platform.
Team works closely with Business users /stakeholders across different lines of business, products, functions to build data products to support Analytical and Operational Reporting, Data visualization, Dashboarding, search and Advanced analytics capabilities.
The team's mission is focused on converting data to actionable insights for our business partners who can utilize the same, to reduce administrative cost, increase revenues and improve the customer's experience.
We are looking to build out our data architecture organization with motivated and talented Data Architects who are interested in being a part of this transformation journey and who have relevant experience in one of more domains.
Large Enterprise Financial Services Data ArchitectureCloud Technology / Migration to CloudBuild Out of Data Architecture & Data Modeling CapabilitiesConsumer and Retail BusinessCommercial BankingDigitalMaster Data & Reference Data ManagementCustomer 360Finance and ProfitabilityRegulatory ReportingFraud, Compliance, AMLAs part of the team, you will be in involved in enhancing current capabilities in Corporate Data Lake/ Data Warehouse, Master Data and Reference data management platforms both in on-prem and on Cloud.
In this lead role, you will have an opportunity to design, implement, and maintain our cloud-based data architecture, with a specific focus on Snowflake.
The ideal candidate will have a strong background in cloud technologies, data modeling, and database management, along with hands-on experience working with Snowflake or other similar platforms.
About the RoleThe Data Architect Lead will coordinate and lead a team of Data Architects and Data Modelers, to develop data models and solutions for the design and implementation of large-scale data designs that will facilitate the build out of data products meeting the needs of consumers across various domains in the organization.
In this hands-on role, the Data Architect Lead will have the necessary technology design, communication, and leadership skills to independently manage highly visible and complex projects from start to finish.
Within the Data Architecture Team, develop and maintain documentation of the data architecture, data flow and data models of the data platforms for various audiences.
Additionally, provides direction on adoption of Cloud technologies (Snowflake) and industry best practices in the field of data warehouse architecture and modelling.
This position must bring a good balance between technical and soft skills as well as a strong understanding of data and data management.
Detailed job responsibilitiesData ArchitectureManage and develop enterprise data roadmaps and reference data architecture patterns.
Develop and implement data modeling best practices to ensure scalability, performance, and reliability.
Support design and develop scalable, high-performance data architectures on the Snowflake cloud data platform to meet the evolving business needs and data growth.
Develop and maintain documentation of the data architecture, data flow and data models of the data warehouse appropriate for various audiences.
Provide direction on adoption of Cloud technologies (Snowflake) and industry best practices in the field of data warehouse architecture and modelling.
Review and recommend improvements to data model designs with a focus on those areas influencing interoperability, and analytics.
Understand data strategy, drivers and needed capabilities (future and current state) and determine corresponding enterprise data systems and platforms to drive the organization's targeted outcomes.
Consult with delivery teams regarding the most critical or complex data architecture areas.
Provide consulting support to solution architects and ensure the initiative is aligned with overall enterprise data architecture.
Cultivate the data community to increase understanding and values of Data Architecture capabilities and practices.
ModelingMaintain logical and physical data models along with accurate metadata.
Updating and optimizing local and metadata models.
Work with the development team to create logical and physical data models and data flows.
Support new and existing development projects with data and process modeling activities.
Provide entity, logical and physical data models.
Implement data strategies and develop physical data models.
LeadershipKnowledge of all components of an enterprise technical architecture.
Collaborate with technology leaders and business leaders to implement strategic data management techniques to treat data products as an asset.
Develop strong relationships with all data product consumers and other data citizens that use the data to understand their needs.
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
Develop and lead a center of data architecture best practices and processes.
Be the evangelist of the data architecture practice.
Communicate and cultivate the business value of the data designs to relevant stakeholders, including business and technology leaders.
Define and measure meaningful business key performance indicators for the data documentation artifacts.
Ensure alignment and adherence to corporate, financial and technology standards (e.
g.
, architecture, compliance, security).
Where applicable, identify opportunities to monetize data design with the enterprise.
Assist leadership in setting and measuring objectives and key results (OKRs) and assign OKRs to direct reports.
Prioritize backlog for quarterly planning exercises.
CloudDesign and develop cloud-based data architecture solutions using Snowflake as the primary data platform.
Lead the implementation of Snowflake based data solutions, including data modeling, schema design, and data integration pipelines.
Optimize data storage, data retrieval, and query performance in Snowflake to ensure the efficient processing of large-scale datasets.
Data SupportEnsure consumers have the information and resources they need to use the data products (e.
g.
, access to data, interactive documentation to help them understand data operations, etc.
)Support the creation of data assets, which may include a data model, associated metamodel, common business vocabulary, ontologies, and taxonomies, which will then be used to guide solution development and achieve consistency of data assets across the enterprise.
Contribute to and communicate data management standards relating to the location, media type and cybersecurity requirements to facilitate efficient and secure management of all data elements.
Collaborate with data teams to establish appropriate data access management approaches (data access)Participate in governance activities and reviews.
Collect data against defined metrics and use metrics to determine opportunities to improve data systems performance.
Basic QualificationsBachelor's degree and a minimum of 7 years' related experience, or in lieu of a degree, a combined minimum of 11 years' higher education and/or work experience, including a minimum of 7 years' related experience.
Robust understanding of full-cycle product development within an Agile framework.
Proven experience overseeing all elements of the product development lifecycle, including developing and maintaining detailed project plans from discovery to delivery.
Identify and define business problems and translate them into actionable requirements and tasks.
Demonstrate analytical problem-solving skills.
Excellent written and verbal communications skills.
Effectively engage both technical and non-technical stakeholders and users.
Be able to work independently, anticipating and resolving problems.
Demonstrated experience working with data products.
Experience writing SQL, pulling, wrangling, and querying databases using data analytic tools.
Preferred QualificationsDeep understanding of the data analytics and data architecture discipline, processes, concepts, and best practices.
Deep knowledge and expertise in data architecture and data modeling with ERWIN Data Modeler or similar tools.
Experience developing conceptual data model to identify key business entities and visualize their relationships.
Experience working with teams to create logical and physical data models and data flows.
Strong experience on data modelling and analytics tools.
Strong data design, management, and maintenance experience.
Strong analytics and reporting experience.
Proven strategic planning capabilities.
Prior experience with data model design and development and implementing BI tools highly preferred.
Banking, Financial services and Fintech experience.
Domain knowledge with Azure (ADLS, APIs, DF, Synapse), Snowflake, Informatica, Databricks, Data Governance, Data Quality, and other data management tools.
Knowledge of all components of an enterprise technical architecture.
Excellent understanding of data Systems Development Life Cycle (SDLC), application development methodologies, cybersecurity, infrastructure, and network architecture.
Experience in at least two Information Technology solution development disciplines, including technical architecture, infrastructure, application development, cybersecurity, database management or Information Technology (IT) operations.
Minimum of 7 years' data architecture experience articulating and building tooling to support the development of data analytics products.
Knowledge of statistics, data science techniques and tools.
Excellent understanding of strategic, new, and emerging technology trends, and the practical application of existing, new and emerging technologies.
Strong interpersonal skills.
Excellent analytical skills like technical translator, abstraction, pattern recognition, logical and holistic thinking.
Excellent technical skills.
Understanding of management methods and processes (Waterfall, Agile), and capability of supporting all types of initiative teams by providing advice and guidance on opportunities, impact, and risks, taking account of technical and architectural debt.
Ability to connect across disparate parts of the organization and understand domain implications of enterprise data priorities.
Experience managing multiple complex projects simultaneously.
Excellent organizational skills, with ability to handle multiple and complex areas of responsibility.
Strong leadership skillsAbout M&TAt M&T Tech, we're a team of makers, doers, and builders, working to create the most advanced technology solutions in banking.
We're not your stereotypical suit and tie bankers:
we're an innovative team of leading tech experts, pushing boundaries, and taking risks.
We're building an agile team of the most skilled and creative workers to solve complex problems, architect solutions, write high-performance software, and chart our new path, all to make the lives of our customers, and the communities that we serve, better.
Join us and be part of something new as we build tomorrow's bank, today.
M&T Bank is a Top 20 US bank holding company and one of the best performing and financial stable regional banks in the country, we offer our technology employees a wide range of performance-based career development opportunities.
We have a strong commitment to our customers and the communities we serve, and we continue to grow with a focus on the future.
So, when looking to advance your career, look to M&T.
Grow with us.
Hiring Immediately.
We support our team members with generous benefits.
Competitive compensationHealth, welfare, and retirement benefits401(k) match at 5%Work-life balance and flexible work arrangementsStart with 25 days PTO plus 12 paid holidays#MTBTechHub #DataProduct #Product #Product Development #PO #ProductOwner #Agile #CSPO #Data #BacklogM&T Bank is committed to fair, competitive, and market-informed pay for our employees.
The pay range for this position is $115,703.
73 - $192,839.
55 Annual (USD).
The successful candidate's particular combination of knowledge, skills, and experience will inform their specific compensation.
Location:
Buffalo, New York, United States of AmericaSummaryLocation:
Buffalo, NYType:
Full time.
Estimated Salary: $20 to $28 per hour based on qualifications.
|
|
 | |
