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Last updated on 2024年8月15日

You're a data engineer with big plans for your team. How can you ensure stakeholders are on board?

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As a data engineer with ambitious goals for your team, alignment with stakeholders is crucial. These decision-makers hold the keys to resources, support, and strategic direction, so their buy-in is essential for your projects to succeed. To achieve this, you must communicate effectively, demonstrate the value of your initiatives, and navigate the complexities of organizational politics. By understanding stakeholders' priorities and crafting a compelling narrative around your data engineering projects, you can ensure that everyone is rowing in the same direction, setting the stage for transformative outcomes.

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Athar Jamil

Data Engineer @ Bain & Company | Top Data Engineering Voice | Databricks Certified Data Engineer Associate | 5?…
Charchit Patidar
Nicholas Ogada

Data & ML Engineer at Incentro | Google Cloud Consultant | Cloud Architect

1 Align Interests

Understanding stakeholders' interests and aligning them with your data engineering projects is fundamental. You need to identify what drives your stakeholders – be it cost reduction, revenue growth, or operational efficiency – and tailor your communication to highlight how your plans address these interests. For example, if your project will streamline data processing, emphasize the potential cost savings and efficiency gains. By making the connection between their goals and your data engineering initiatives clear, you can foster a sense of shared purpose.

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Charchit Patidar
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To get stakeholders on board with your data engineering plans, align your vision with business goals and clearly communicate the benefits in terms they understand. Start with quick wins and pilot projects to demonstrate value early, using data-driven justifications to build confidence. Involve stakeholders in the process by regularly engaging them and addressing concerns proactively. Secure executive sponsorship to champion your initiatives and emphasize the long-term benefits for the company’s growth and adaptability.

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Shivakiran Kotur

Data Engineer at KPMG | Microsoft Certified Azure Data Engineer | Expert in Databricks, SQL, PySpark, Python, IICS, and Snowflake | Passionate About Tech-Driven Solutions and Data Analytics
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Regular Updates: Keep stakeholders informed with consistent project progress updates. Gather Feedback: Actively seek stakeholder feedback throughout the project. Demonstrate Impact: Use data and case studies to showcase the project's benefits to stakeholders. These strategies strengthen stakeholder relationships and ensure alignment with their interests.

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2 Communicate Value

Communicating the value of your data engineering projects is key to gaining stakeholder support. Translate technical jargon into business language that resonates with non-technical stakeholders. For instance, instead of discussing the technical specifics of a new data pipeline, focus on how it will provide faster insights that can lead to better business decisions. Use relatable examples and success stories to illustrate the tangible benefits of your projects, making them more accessible and compelling to stakeholders.

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Athar Jamil

Data Engineer @ Bain & Company | Top Data Engineering Voice | Databricks Certified Data Engineer Associate | 5? Hackerrank SQL
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Humans are naturally resistant to change. Effectively communicating a project's vision, impact, and complexity is crucial. I've encountered situations where stakeholders resisted change because they overestimated its complexity and underestimated its benefits. Through clear communication and focused discussions, we were able to address their concerns and ultimately gain their support.

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Nicholas Ogada

Data & ML Engineer at Incentro | Google Cloud Consultant | Cloud Architect
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I've come to realize that as techies, we tend to favor black screens, architectural diagrams, and technical jargon. However, it's unlikely that the business folks truly understand these things. It's crucial to translate technical terms into language that business users can comprehend. I'd like to point out the importance of using relatable examples and success stories to instill confidence in stakeholders about the value of our ideas and increase the likelihood of success.

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Shivakiran Kotur

Data Engineer at KPMG | Microsoft Certified Azure Data Engineer | Expert in Databricks, SQL, PySpark, Python, IICS, and Snowflake | Passionate About Tech-Driven Solutions and Data Analytics
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Communicating the value of your data engineering projects is essential for gaining stakeholder support. Use business language to explain how projects benefit the organization. For example, highlight how a new data pipeline delivers faster insights for better decision-making. Relatable Examples: Use success stories to illustrate tangible benefits.Visual Aids: Incorporate charts and graphs to make complex data more accessible. Tailored Communication: Adjust your message based on the audience's interests and expertise level. These strategies help make your projects compelling and understandable to stakeholders.

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3 Build Relationships

Building strong relationships with stakeholders is just as important as the technical work itself. Take the time to engage with them on a personal level, understand their challenges, and offer solutions that your data engineering team can provide. Regularly update them on progress and setbacks, maintaining transparency. This establishes trust and shows that you value their input, which can be instrumental when you need their support for critical decisions or additional resources.

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4 Leverage Data

Leverage data to make a compelling case for your projects. Use metrics and analytics to predict outcomes and demonstrate potential impacts. For instance, if you're proposing a new data warehouse, show how it can reduce query times and provide a clearer picture of customer behavior. Presenting data-backed arguments not only underscores the viability of your proposals but also showcases your team's analytical prowess, further convincing stakeholders of your team's capability.

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Nicholas Ogada

Data & ML Engineer at Incentro | Google Cloud Consultant | Cloud Architect
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There is no better way to demonstrate value than by presenting numerical figures to defend or prove your case. Numbers quantify the benefits and guide stakeholders in determining the return on investment.

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5 Manage Expectations

Managing stakeholders' expectations is crucial for long-term success. Be realistic about timelines, potential risks, and resource requirements. If you promise too much too quickly, you risk losing credibility. Instead, set achievable milestones and celebrate small wins along the way to keep stakeholders engaged and optimistic about the project's trajectory. This incremental approach can help maintain enthusiasm and support, even when facing inevitable challenges.

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Charchit Patidar
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Managing stakeholders' expectations is key to success. Set realistic timelines and achievable milestones to maintain credibility and keep stakeholders engaged. Celebrate small wins to sustain enthusiasm and support throughout the project.

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6 Adapt Strategies

Adapting your strategies based on stakeholder feedback and changing business landscapes is essential. Be flexible and willing to pivot your plans if necessary. Keep an open dialogue with stakeholders to understand their evolving needs and adjust your projects accordingly. This agility demonstrates that you are responsive and committed to delivering value, reinforcing stakeholder confidence in your team's ability to adapt and innovate in a dynamic business environment.

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Charchit Patidar
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Adapting strategies based on stakeholder feedback and evolving business needs is crucial for success. Stay flexible and ready to pivot when necessary, maintaining open communication to align with changing priorities. This agility shows your commitment to delivering value and strengthens stakeholder confidence in your ability to innovate in a dynamic environment.

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7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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You're a data engineer with big plans for your team. How can you ensure stakeholders are on board?

1

2

3

4

5

6

7

1 Align Interests

2 Communicate Value

3 Build Relationships

4 Leverage Data

5 Manage Expectations

6 Adapt Strategies

7 Here’s what else to consider

Data Engineering

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You're a data engineer with big plans for your team. How can you ensure stakeholders are on board?

1

2

3

4

5

6

7

1 Align Interests

2 Communicate Value

3 Build Relationships

4 Leverage Data

5 Manage Expectations

6 Adapt Strategies

7 Here’s what else to consider

Data Engineering

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