IT Business Information Security Lead
Job Summary:
The Business Information Security Leader (BISL) liaises with our business units and serves as the primary point of contact between Information Security and our business units. The BISL assists in enabling business strategies, while balancing the security risk and ensuring security is aligned with business strategies. Interacts with all levels of leadership in the firm to accelerate solutions through better communication and alignment. The key to success is the ability to influence senior business leaders about the need to embrace security initiatives.
Essential Duties and Responsibilities:
• Articulates the security perspective to the business and helps them understand the potential impact and possible controls in business terms.
• Communicates business knowledge and requirements to the Information Security organization thus ensuring security is aligned with business strategy and need.
• Counsels business units in understanding regulatory information security compliance requirements and helps ensure compliance.
• Represents the business unit in development of policies and standards.
• Act as primary point of contact for all IT internal audits, participates in scoping, deliverable requests and collaborates with senior leadership to clear audit reports and ensure action plans are complete and effective.
• Ensures IT owners are held accountable for their controls and understand responsibilities as to risk mitigation and remediation as well as compliance to security policy and standards to reduce liabilities.
• Understands and reports on the overall information security risk posture of the business unit, and provides an enterprise view of vulnerabilities and associated risks to both the business and information security.
• Focuses on process improvement to manage risk, proactively prevent problems and identify opportunities for efficiencies and automation.
• Investigates security incidents for the business and works with Information Security teams to recommend/implement appropriate corrective actions.
• Understands, tests and implements security plans, products, strategies and control techniques.
• May lead or participate in security related projects and strategy.
• Performs other duties and responsibilities as assigned.
Qualifications
Education/Previous Experience:
- TYPICALLY requires a Bachelor’s degree; 3-5 years of relevant experience. May have one or more technical or business-related certifications.• Minimum of a Bachelor’s degree in Computer Science, MIS or related degree and three (3) years of relevant experience in auditing or risk assessing or combination of education, training and experience.
Highly preferred:
- Bachelor’s degree in Computer Science, MIS or related degree and seven (7) years of relevant experience in Information Security, risk management and audit or an equivalent combination of education, training and experience.
- Financial services experience highly preferred.
- Knowledge/Experience in the following:
– Information Security programs including, but not limited to, audit reviews, risk assessment, awareness and training, identity and access management, data protections, secure SDLC, incident management, vulnerability assessment, penetration testing, third-party assessment, secure configurations and patch management.
– Advanced knowledge of infrastructure and logical security technology with experience working with ITIL, ISO 17799 and/ or CoBit processes and procedures.
– Translating business drivers and priorities into security design.
– Knowledge of government and other regulations related to Information Security (e.g., GLBA, SOXA 404, FFIEC, PCI, Privacy, HIPAA, etc.).
– Technical skills and proficiency in a wide array of platforms and systems (e.g., Windows, UNIX, SQL, Tandem).
Licenses/Certifications:
- Security and control certifications highly preferred (CISSP, CISM, CISA, CRISC).
Job Title: Business Systems Analyst (Data Integrations)
Department: Information Technology
Location: Pittsburgh, PA
Summary of the Position:
The Business Systems Analyst (Data Integration Services) role will support the operational and analytical needs of the business by defining, developing, configuring, and supporting data integration solutions, while working closely with the Enterprise Application managers / software engineers. The role will evaluate business and technical requirements for Enterprise systems, Architecture and Business Intelligence while identifying strategic & innovative solutions to meet the data needs of the business. The BSA will solicit, understand, and document business and technical requirements, processes and pipeline workflows for Enterprise systems, Architecture and Business Intelligence while identifying strategic & innovative solutions to meet the data needs of the business. The BSA will also participate in supporting / administering essential applications and reports maintained within the Enterprise Applications group.
Primary Functions of the Position:
- Support the business-critical data-intensive Enterprise Applications and Integrations.
- Develop data integrations, pipelines and ETL processes that connect disparate sources and supporting applications and platforms.
- Define data lineage for key data points across applications and integrations.
- Work with business stakeholders and technical team members to understand requirements and processes to make recommendations for tactical, strategic, and innovative data-centric solutions/improvement.
- Apply Agile project management methodologies to ensure proper implementation and completion within requested timelines and work with software engineers to deliver cohesive enterprise application features.
- Improve existing Data Integration Services and Enterprise Applications by recommending/implementing BSA best practices and methodologies while designing data-driven solutions by utilizing experience with relational and analytical database structures, theories, principles, and practices.
- ETL tool utilization and development through Azure Data Factory Pipelines and Microsoft SSIS to perform system integrations and data analysis with the intent of preparing for data lake utilization.
- Technical requirements analysis, business process modeling/mapping, methodology development, data analysis master data management, and data modeling.
- Works closely with data architects, business analysts / system analysts, project managers, developers, enterprise application managers, and business stakeholders/users to ensure technical compatibility and user satisfaction. Prior DBA experience would be a plus.
- Create and maintain technical documentation, process documentation and insightful scripts/data analysis.
Education and Experience Requirements:
- Bachelors Degree in Computer Science, Information Technology, or STEM/Technology-related degree.
- 2+ years of experience importing/exporting data (ETL/ELT) for use in application systems integration, report software, business process support, data analysis, and business use.
- Experience in Azure Data Stack technologies including Azure SQL, SQL Server, Azure Data Factory, SSIS, ADLS2, Logic Apps and Virtual Machines preferred.
- 2+ years of experience delivering and supporting BI/BA/BSA activities and data-driven solutions.
- 2+ years of experience developing integrations between custom-developed and off-the-shelf enterprise systems.
- 2+ years of experience performing business requirements and systems analysis.
- Experience supporting\creating enterprise data analysis, data management/governance, data visualization, data integrations and automated solutions.
- Prior experience with Salesforce, RPA platforms, Databricks/Snowflake, Azure DevOps and API’s a plus.
- Experience in banking and/or financial services would be highly beneficial.
Essential Skills and Abilities:
- Demonstrates excellent critical thinking and problem-solving abilities; superb written, verbal, and presentation skills
- Ability to respond, when needed, 24/7 if system issues arise
- Ability to work in a highly dynamic and fast-paced environment, with strong organizational skills and the ability to manage multiple deadlines and quickly adapt to changing priorities
- Ability to troubleshoot issues quickly and provide fixes in a timely manner
- Ability to quickly adapt to changing priorities
TriState Capital Bank provides equal employment opportunity and advance in employment to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.
TriState Capital Bank is an Equal Opportunity Employer.
Summary of the Position:
The Data Analyst role involves the identification, collection, interpretation, extraction and cleansing of data sets necessary for use in reporting, analytics or advanced modeling applications. Serving in a key role between technology application owners and key consumers of enterprise data resources, the Data Analyst must possess critical thinking and problem-solving skills. A data analyst needs to have a good understanding of the questions being asked and the problems that need to be solved. They also should be able to find patterns or trends in the data that reveal new insights, allowing focus on the right types of data while recognizing the most revealing methods of analysis. The data analyst must be self-motivated with the ability to effectively communicate via both verbal and written forms and manage frequently changing priorities. Ability to communicate ideas across a variety of data consumers is crucial to your work as a data analyst. Financial industry experience and familiarity with financial services, products, and regulations is advantageous.
Primary Functions of the Position:
- Gather data: Data Analysts identify and collect data from sources such as an organization’s systems of record or select external sources or even licensed data
- Clean data: Raw data often contains duplicates, errors, or non-essential data. The Data Analyst will scrub the data to improve quality utilizing a spreadsheet or programming language, to engineer the data set for accuracy and intent.
- Model data: Create and design the structures of a data set to satisfy the business objective. Determine the types of data to collect and store while establishing how data categories are related and presented for consumption.
- Interpret data: Use knowledge of data analysis techniques and the business/markets/products (etc) to identify patterns or trends in data leading to new insights or opportunities to combine with other data sets/sources.
- Present analysis: Communicate results analysis or data interpretation utilizing data visualizations tools (entity relationship diagrams, object graphs, writing reports, and presenting information to interested parties.
- Collaborate: Work with business users to understand requirements and processes and make recommendations for data set solutions/improvement
- Data Integration: Utilize data integration tools and methods such as ETL tools and development or integration services/API development to perform data extraction and data set creation
- Document Work: Creates and maintains technical documentation and process documentation
Education and Experience Requirements:
- Bachelor’s Degree in Computer Science, Information Technology, or technology-related degree
- Minimum 3 years of experience delivering and supporting data-driven solutions
- Minimum 3 years of experience supporting enterprise reporting and data visualization solutions
- Minimum 3 years of experience with databases, data modeling and data warehouses such as Microsoft SQL Server, SSIS, SSRS, SSAS, Power BI, and related tools
- Minimum 3 years of experience importing/exporting data (ETL) for use in integrations using Azure Data Factory
- Minimum 3 years of experience performing business requirements analysis
- Experience in banking and/or financial services would be highly beneficial
Essential Skills and Abilities:
- Data modeling and extraction tools: Use of Microsoft Excel and SQL, ETL tools and API service integration.
- Data Programming languages: Familiarity with statistical programming languages (Python or R) to handle large sets of data and perform complex data joins.
- Data visualization: Power BI, Tableau, Thoughtspot, Excel for creation of data set visuals.
- Statistics and math: p of statistics and math will help you determine which tools are best to use to solve a particular problem, help you catch errors in your data, and have a better understanding of the results.
- Strong communication and people skills; must work well with technology and business teams
- Strong analytical skills, with the ability to analyze and solve problems
- Must have the ability to document processes and solutions with accuracy
- Adapt quickly to changing priorities and manage multiple deadlines