15 days old

Senior Manager, Product Management - Data Foundation

Cisco Systems Inc.
San Jose, CA 95113
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What You'll Do

Cisco Data and Analytics (D&A) Offices charter is to Accelerate Ciscos journey to a data-driven business. Our purpose is to better understand and affect the drivers of our business through data and analytics , with a focus on our users. We are value focused and outcome driven: we help drive growth and agility at every level.

 

The playing field is exceptionally dynamic, energized by Ciscos vision to deliver highly secure, software-defined, automated and intelligent platforms for our customers. Our strategic priorities are to accelerate our pace of innovation, increase the value of the network, and transform our business model.

 

 

As Sr. Manager, Data Foundation, you will:

As part of the Data & Analytics Office, the Sr. Manager of Data Product Management will help shape the vision for our Enterprise data foundation capabilities, crystallize and manage the overall roadmap  and run a transparent, outcome-driven prioritization process. You will build and lead a team to serve Cross Functional Business Units

 

  • Crystallize the product vision and key objectives for the data foundations, including identifying main user groups, understanding their needs and requirements, and agreeing the approach to address them
  • Develop outcome focused measures of success to serve as North star for our data products 
  • In close collaboration with Product Engineering and Architecture, develop a roadmap for the platform based on business requirements
  • Establish prioritization forums and methodologies
  •  Socialize, champion and evolve data platform strategy with key stakeholders
  • Educate key users and stakeholders on potential platform capabilities, including emerging technologies and approaches
  • Align with our Product teams best practices, ways of working and product management processes, adapt them to the Data universe, 
  • Act as the community of practice lead on product, user-centric thinking, within the Data & Analytics Office team for our internal data products 
  • Continually build bridges to firm up fruitful collaborations with data users and stakeholders across the group 
  • Driving insights by creating connecting data models for various business models

 

 

Who You'll Work With

We are building a best-in-class team of hardworking, results-oriented problem solvers with the aim of enabling better data-driven decisions and thereby building business impact.

We operate as a startup: work hard, learn every single day, focus on doing measurable and impactful work; and have lots of fun along the way.

 

Who You Are

The Ideal skills for this role:

  • 15+ years of industry experience with significant exposure in stakeholder engagement with a preferred focus in data and analytics strategy. Consulting experience (especially analytics consulting) a plus. MS degree preferred.
  • Proven experience in product management of data capabilities, including internal data products as well as data models to be integrated in user-facing product features  that drive business value
  • Experience in using all forms of user insight, customer research and data analytics to develop products successfully
  • Solid understanding of data technologies and data architecture, including modern big data, Data Lake and cloud technology, business intelligence toolkit, key analytics and machine learning systems that drive automation and optimization
  • Highly collaborative, working comfortably within a complex matrix environment
  • Approachable leader, mentor and dedicated team player with excellent communication skills
  • Proven track record of having established successful business relationships, and have influenced and engaged with senior stakeholders including at Executive level
  • Experience in agile ways of working; value stream mapping and metrics , and DevOps culture


Attributes required for the role:

  • Results Oriented
  • Motivation to perform and succeed
  • High-energy, robust and resilient
  • Analytical and driven by insight and understanding
  • Able to motivate, influence and empower others irrespective of reporting lines
  • Collaborative, direct and open in approach
  • Agile mentality - to develop a product management process fostering high-quality iterative delivery while we evolve towards a broader platform vision


Why Cisco

#WeAreCisco, where each person is unique, but we bring our talents to work as a team and make a difference. Heres how we do it.

We embrace digital and help our customers implement change in their digital businesses. Some may think were old (30 years strong!) and only about hardware, but were also a software company. And a security company. An AI/Machine Learning company. We even invented an intuitive network that adapts, predicts, learns and protects. No other company can do what we do you cant put us in a box!

But Digital Transformation is an empty buzz phrase without a culture that allows for innovation, creativity, and yes, even failure (if you learn from it.)

Day to day, we focus on the give and take. We give our best, we give our egos a break, and we give of ourselves (because giving back is built into our DNA.) We take accountability, we take bold steps, and we take the difference to heart. Because without diversity of thought and a commitment to equality for all, there is no moving forward.

So, you have colorful hair? Dont care. Tattoos? Show off your ink. Like polka dots? Thats cool. Pop culture geek? Many of us are. Passion for technology and world-changing? Be you with us!



Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified individuals will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.

GEM20
#LI-GD1

     

    Posted: 2020-11-20 Expires: 2020-12-21
    Sponsored by:
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    Senior Manager, Product Management - Data Foundation

    Cisco Systems Inc.
    San Jose, CA 95113
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