Program Manager - Data

As a Program Manager - Data at Pepperstone, you'll be responsible for managing the timely delivery of multiple data transformation initiatives. Your duties will include developing delivery roadmaps, collaborating with Product Managers and Engineering Leads, providing status reports to stakeholders, and leading a team of Product Owners and Business Analysts. Overall, you will oversee the entire program’s lifecycle, from scoping to release, ensuring all phases are executed smoothly and aligned with strategic objectives.

To excel as a Program Manager - Data at Pepperstone, you should have a proven track record in delivering data transformation projects. Essential skills include expertise in Business Intelligence and Analytics, proficiency in tools like Jira for release planning, strong communication skills for stakeholder engagement, and the ability to navigate dynamic environments effectively. A background in financial services and familiarity with advanced data management technologies are also desirable.

While specific degrees in Information Technology or related fields are beneficial, experience takes precedence for the Program Manager - Data role at Pepperstone. A strong background in data transformation projects, coupled with knowledge of data governance frameworks and data architecture principles, will set you apart. Experience with tools like AWS, Snowflake, and Redshift will further enhance your qualifications.

At Pepperstone, collaboration is key for the Program Manager - Data. You'll work closely with technical teams including data engineers, data scientists, and software engineers to ensure the delivery of analytics capabilities. Your role involves translating complex technical concepts into actionable insights, thus bridging the gap between technical and non-technical stakeholders and ensuring everyone remains aligned throughout the project lifecycle.

Career progression for a Program Manager - Data at Pepperstone can lead to advanced leadership roles within the organization. With proven success in managing data transformation projects, you could move up to senior management positions overseeing larger portfolios or leading strategic initiatives. Continuous learning and exposure to different project areas will help you further enhance your skill set and advance your career.

When managing multiple data transformation initiatives, it’s essential to prioritize tasks effectively. I utilize project management tools like Jira to track progress and dependencies, ensuring that each initiative aligns with the overall strategic objectives. Regular communication with team members and stakeholders is crucial to address challenges efficiently and adjust plans as necessary.

Certainly! In a previous role, I led a data warehouse overhaul that resulted in improved reporting capabilities. I coordinated between engineering and analytics teams, set clear milestones, and ensured timely communication with stakeholders. The project not only met our deadlines but also enhanced reporting efficiency by 40%, demonstrating my ability to deliver high-quality results on time.

To effectively communicate project risks, I ensure that my risk documentation is clear and comprehensive. I categorize risks by impact and likelihood, then present this information in status updates, along with proposed mitigation strategies. This proactive approach helps to create transparency and builds trust with stakeholders by demonstrating that I am focused on managing potential issues effectively.

I ensure alignment among diverse teams by facilitating regular workshops and collaborative meetings to foster open communication. I document key decisions and action items from these meetings, and I always encourage feedback. Utilizing visual aids to display project progress helps in making complex concepts accessible and understandable to all team members.

Data governance is paramount in my project management approach. I establish clear guidelines for data management practices right from the project initiation phase. This includes working closely with data governance specialists to ensure compliance and quality standards are met, thus prioritizing data integrity and security throughout the project lifecycle.

In vendor management, I focus on clear communication and documented agreements. Regular check-ins help ensure vendors understand our expectations and timelines. I maintain detailed records of performance and feedback to foster a collaborative relationship, aligning vendor outcomes with our project goals.

When project priorities shift, I remain agile and responsive. I assess the implications of the changes on timelines and deliverables, then communicate this to affected team members and stakeholders. Utilizing agile project management methods allows my teams to adapt quickly while still focusing on meeting essential strategic objectives.

I have extensive experience working in scaled agile environments, managing teams that operate with agile methodologies. I promote a culture of iterative progress through regular sprints and retrospectives, enabling teams to continuously improve their processes and achieve better outcomes, all while maintaining strong stakeholder engagement throughout the project.

Coaching team members for optimal performance involves regular feedback and development opportunities. I conduct one-on-one sessions to understand their strengths and areas for improvement, setting achievable goals together. By fostering an environment of trust and recognition, I help empower my team to take ownership of their output and succeed.

For release planning, I primarily utilize Jira and Jira Roadmaps. These tools allow me to visualize the project timelines, manage dependencies, and ensure all team members are aware of their responsibilities. The robust tracking features help maintain clarity and accountability through various stages of the project.